02 - numeric analysis
Rui
2025-02-17
## New names:
## New names:
## • `gender` -> `gender...20`
## • `race` -> `race...21`
## • `age` -> `age...22`
## • `age` -> `age...80`
## • `gender` -> `gender...81`
## • `race` -> `race...83`Data Attrition
## Stage N Percentage Excluded
## 1 Total Data Collected 413 100.00 0
## 2 After Consent 412 99.76 1
## 3 After Location 411 99.52 1
## 4 After Gender 407 98.55 4
## 5 After Brand Variables NA Check(exit halfway) 401 97.09 6
## 6 After Attention Checks 393 95.16 8Demographics
## [1] "Summary for Distribution of Race"
## Category Count Percentage
## 5 White 279 70.99
## 2 Black or African American 38 9.67
## 1 Asian 35 8.91
## 3 Hispanic or Latinx 30 7.63
## 4 Other 11 2.80
## [1] "Summary for Distribution of Age Groups"
## Category Count Percentage
## 3 35–44 118 30.03
## 2 25–34 102 25.95
## 4 45–54 71 18.07
## 1 18–24 37 9.41
## 6 65 and older 33 8.40
## 5 55–64 32 8.14
## [1] "Summary for Distribution of Education Level"
## Category Count
## 2 Bachelor's (4 year) Degree (BA, AB, BS, ...) 141
## 7 Some college 83
## 6 Professional or Graduate Degree (MA, MS, MBA, MD, JD, PHD, ...) 64
## 1 Associate's (2 year) Degree 53
## 3 High School Degree 39
## 8 Some graduate studies 10
## 4 Less than High School 2
## 5 Prefer not to answer 1
## Percentage
## 2 35.88
## 7 21.12
## 6 16.28
## 1 13.49
## 3 9.92
## 8 2.54
## 4 0.51
## 5 0.25
## [1] "Summary for Distribution of Purchase Frequency"
## Category Count Percentage
## 3 Once a month 171 43.51
## 1 Less than once a month 139 35.37
## 5 Two to three times a month 62 15.78
## 4 Once a week or more 17 4.33
## 2 Never 4 1.02
## [1] "Summary for Distribution of Skincare Importance"
## Category Count
## 4 4 - Skincare is important for self-care and confidence. 187
## 3 3 - Skincare is somewhat important. 81
## 5 5 - Skincare is very important and significantly impact my daily life 81
## 2 2 - Skincare has some importance but are not a priority. 40
## 1 1 - Skincare does not matter at all. 4
## Percentage
## 4 47.58
## 3 20.61
## 5 20.61
## 2 10.18
## 1 1.02
Claim Interpretation (multiple choices)
claim_a: consumer perception
claim_b: clinical study
claim_c: study (image)
Answer:
1 - consensus, compare with start [RIGHT ANSWER]
2 - consensus, compare with placebo: 82% of consumers
3 - likelihood: likely(82%)
4 - degree, compare with start
5 - don’t know
6 - degree compare with placebo: 82% of improvement
## [1] "Summary for claim_a_int"
## Metric Count Percentage
## 1 Total Valid Responses 128 100.00
## 2 Single Answer Responses 75 58.59
## 3 Only Choice 1 58 45.31
## 4 Only Choice 2 7 5.47
## 5 Only Choice 3 5 3.91
## 6 Only Choice 4 3 2.34
## 7 Only Choice 5 0 0.00
## 8 Only Choice 6 2 1.56
## 9 Contains Choice 1 106 82.81
## 10 Contains Choice 2 27 21.09
## 11 Contains Choice 3 32 25.00
## 12 Contains Choice 4 36 28.12
## 13 Contains Choice 5 0 0.00
## 14 Contains Choice 6 13 10.16## [1] "Summary for claim_b_int"
## Metric Count Percentage
## 1 Total Valid Responses 127 100.00
## 2 Single Answer Responses 61 48.03
## 3 Only Choice 1 50 39.37
## 4 Only Choice 2 2 1.57
## 5 Only Choice 3 2 1.57
## 6 Only Choice 4 6 4.72
## 7 Only Choice 5 0 0.00
## 8 Only Choice 6 1 0.79
## 9 Contains Choice 1 110 86.61
## 10 Contains Choice 2 30 23.62
## 11 Contains Choice 3 41 32.28
## 12 Contains Choice 4 43 33.86
## 13 Contains Choice 5 0 0.00
## 14 Contains Choice 6 13 10.24## [1] "Summary for claim_c_int"
## Metric Count Percentage
## 1 Total Valid Responses 134 100.00
## 2 Single Answer Responses 83 61.94
## 3 Only Choice 1 68 50.75
## 4 Only Choice 2 3 2.24
## 5 Only Choice 3 4 2.99
## 6 Only Choice 4 8 5.97
## 7 Only Choice 5 0 0.00
## 8 Only Choice 6 0 0.00
## 9 Contains Choice 1 114 85.07
## 10 Contains Choice 2 24 17.91
## 11 Contains Choice 3 29 21.64
## 12 Contains Choice 4 36 26.87
## 13 Contains Choice 5 0 0.00
## 14 Contains Choice 6 6 4.48## [1] "Summary for All Claims Combined"## Metric Count Percentage
## 1 Total Valid Responses 389 100.00
## 2 Single Answer Responses 219 56.30
## 3 Only Choice 1 176 45.24
## 4 Only Choice 2 12 3.08
## 5 Only Choice 3 11 2.83
## 6 Only Choice 4 17 4.37
## 7 Only Choice 5 0 0.00
## 8 Only Choice 6 3 0.77
## 9 Contains Choice 1 330 84.83
## 10 Contains Choice 2 81 20.82
## 11 Contains Choice 3 102 26.22
## 12 Contains Choice 4 115 29.56
## 13 Contains Choice 5 0 0.00
## 14 Contains Choice 6 32 8.2345.24% of participants made the right choice (choose only 1)
[45.31% for A, 39.37% for B, 50.57% for C]
37.79% of participants answer contains the misinterpretation
[38.25% for A, 44.10% for B, 31.35% for C]
How certain are you that this product effectively achieves theclaimed function?
1 - Not at all certain
4 - Moderately certain
7 - Very certain
## [1] "Summary Statistics:"## Metric N Min Q25 Median Mean SD Q75 Max
## 1 Claim A 130 1 3 4 4.18 1.49 5 7
## 2 Claim B 129 1 3 4 4.19 1.50 5 7
## 3 Claim C 134 1 3 4 4.07 1.35 5 7
## 4 All Claims 393 1 3 4 4.15 1.45 5 7## [1] "T-test Results:"## [1] "Claim A vs Claim B:"## t-value.t p-value 95% CI1 95% CI2
## -0.049 0.961 -0.375 0.357## [1] "Claim A vs Claim C:"## t-value.t p-value 95% CI1 95% CI2
## 0.583 0.560 -0.243 0.448## [1] "Claim B vs Claim C:"## t-value.t p-value 95% CI1 95% CI2
## 0.632 0.528 -0.236 0.458People do not think either claim is more credible.
Brand Equity
Meausre reliability (Cronbach’s Alpha ) - high level of internal consistency
1 - sum(variance(item)) / variance(sum)
##
## Attaching package: 'psych'## The following objects are masked from 'package:ggplot2':
##
## %+%, alpha## [1] "Cronbach's alpha for awareness: 0.921"## [1] "Cronbach's alpha for loyalty: 0.883"## [1] "Cronbach's alpha for quality: 0.921"Caculate brand equity
## brand brand_equity_mean brand_equity_sd ci_lower ci_upper
## 20 CLINIQUE 34.15 4.84 32.74 35.55
## 10 IT Cosmetics 25.45 7.64 23.30 27.60
## 22 Kiehl's Since 1851 24.43 8.56 21.97 26.89
## 3 Shiseido 24.02 6.71 22.09 25.95
## 7 Origins 23.94 6.75 22.04 25.84
## 2 First Aid Beauty 23.81 7.75 21.43 26.20
## 17 Paula's Choice 23.23 8.74 20.69 25.77
## 8 Sunday Riley 22.88 8.07 20.64 25.13
## 6 Drunk Elephant 22.31 8.51 19.92 24.71
## 1 Dr. Jart+ 22.06 7.66 19.84 24.29
## 16 fresh 21.47 6.98 19.55 23.40
## 23 Caudalie 21.12 8.02 18.82 23.43
## 12 Peter Thomas Roth 20.94 7.33 18.79 23.09
## 9 Youth To The People 20.32 6.80 18.39 22.25
## 24 KORA Organics 20.18 7.73 17.98 22.38
## 4 MATTER OF FACT 20.16 6.71 18.27 22.04
## 5 Kate Somerville 19.85 6.21 18.05 21.66
## 21 Alpyn Beauty 19.73 6.55 17.91 21.56
## 14 Biossance 19.49 6.25 17.65 21.33
## 11 MARA 18.50 5.60 16.87 20.13
## 13 Naturally Serious 18.44 5.33 16.84 20.05
## 19 iNNBEAUTY PROJECT 18.31 4.87 16.91 19.70
## 15 Moon Juice 17.83 5.61 16.26 19.39
## 18 The Outset 17.10 4.81 15.71 18.50
Check the Link of demographics and claim interpretation accuracy
## Warning: There were 2 warnings in `summarise()`.
## The first warning was:
## ℹ In argument: `ci_lower = mean - qt(0.975, n - 1) * se`.
## ℹ In group 8: `edu = "8"`.
## Caused by warning in `qt()`:
## ! NaNs produced
## ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning.
## [1] "Age Group Summary:"## # A tibble: 6 × 5
## age_label n mean ci_lower ci_upper
## <chr> <int> <dbl> <dbl> <dbl>
## 1 18-24 37 4.46 4.00 4.91
## 2 25-34 102 4.30 4.05 4.56
## 3 35-44 118 4.31 4.06 4.55
## 4 45-54 71 3.94 3.56 4.32
## 5 55-64 32 3.81 3.28 4.34
## 6 65 and older 33 3.48 2.88 4.09## [1] "\nEducation Group Summary:"## # A tibble: 8 × 5
## edu_label n mean ci_lower ci_upper
## <chr> <int> <dbl> <dbl> <dbl>
## 1 Less than High School 2 3.5 -2.85 9.85
## 2 High School Degree 39 4.54 4.09 4.99
## 3 Some college 83 4.41 4.12 4.70
## 4 Associate's Degree 53 4.08 3.63 4.52
## 5 Bachelor's Degree 141 4.09 3.86 4.32
## 6 Professional/Graduate Degree 64 3.89 3.51 4.27
## 7 Some graduate studies 10 3.3 2.23 4.37
## 8 Prefer not to answer 1 4 NaN NaNNow code those who have chosen only 1 correct, and choice contains 4 or 6 as wrong, and choice that do not have 1/2 but have 3/4/6 as ultra wrong
## claim_int claim_int_answer
## 1 1,3 wrong
## 2 1,2 wrong
## 3 1,4 wrong
## 4 1,2,4 wrong
## 5 1 correct
## 6 1,4 wrong
## 7 1,2,3 wrong
## 8 2 wrong
## 9 1 correct
## 10 1 correct
## 11 1,4,3 wrong
## 12 1 correct
## 13 1,4 wrong
## 14 1 correct
## 15 1 correct
## 16 1,4 wrong
## 17 1,4,3 wrong
## 18 1,4 wrong
## 19 1,2 wrong
## 20 1 correct| Age Group | Total | Correct (N) | Correct (%) | Wrong (N) | Wrong (%) | Ultra Wrong (N) | Ultra Wrong (%) | |
|---|---|---|---|---|---|---|---|---|
| 2 | 18-24 | 36 | 12 | 33.3 | 22 | 61.1 | 2 | 5.6 |
| 3 | 25-34 | 101 | 40 | 39.6 | 46 | 45.5 | 15 | 14.9 |
| 4 | 35-44 | 117 | 43 | 36.8 | 63 | 53.8 | 11 | 9.4 |
| 5 | 45-54 | 70 | 41 | 58.6 | 24 | 34.3 | 5 | 7.1 |
| 6 | 55-64 | 32 | 17 | 53.1 | 10 | 31.2 | 5 | 15.6 |
| 7 | 65 and older | 33 | 23 | 69.7 | 9 | 27.3 | 1 | 3.0 |
Older people are wiser
| Education Level | Total | Correct (N) | Correct (%) | Wrong (N) | Wrong (%) | Ultra Wrong (N) | Ultra Wrong (%) |
|---|---|---|---|---|---|---|---|
| Less than High School | 2 | 0 | 0.0 | 2 | 100.0 | 0 | 0.0 |
| High School Degree | 39 | 15 | 38.5 | 19 | 48.7 | 5 | 12.8 |
| Some college | 81 | 37 | 45.7 | 38 | 46.9 | 6 | 7.4 |
| Associate’s (2 year) Degree | 52 | 16 | 30.8 | 30 | 57.7 | 6 | 11.5 |
| Bachelor’s (4 year) Degree | 141 | 63 | 44.7 | 59 | 41.8 | 19 | 13.5 |
| Professional or Graduate Degree | 63 | 39 | 61.9 | 21 | 33.3 | 3 | 4.8 |
| Some graduate studies | 10 | 6 | 60.0 | 4 | 40.0 | 0 | 0.0 |
| Prefer not to answer | 1 | 0 | 0.0 | 1 | 100.0 | 0 | 0.0 |
People of higher education have more correct answer
Do people who purchase more frequent have higher brand awareness?
## [1] "Brand A Results:"##
## Call:
## lm(formula = brand_awareness ~ purchase_frequency * brand, data = regression_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.7500 -3.5789 -0.5789 3.4375 12.4667
##
## Coefficients: (5 not defined because of singularities)
## Estimate
## (Intercept) 5.000e+00
## purchase_frequencyLess than once a month 2.533e+00
## purchase_frequencyTwo to three times a month 5.231e+00
## purchase_frequencyOnce a week or more -1.000e+00
## purchase_frequencyOnce a month 4.111e+00
## brandDrunk Elephant 1.758e+00
## brandFirst Aid Beauty 2.893e-13
## brandKate Somerville 1.792e-13
## brandMATTER OF FACT -2.198e+00
## brandOrigins 7.689e-01
## brandShiseido -1.000e+00
## brandSunday Riley 5.845e-01
## purchase_frequencyLess than once a month:brandDrunk Elephant -1.292e+00
## purchase_frequencyTwo to three times a month:brandDrunk Elephant -3.589e+00
## purchase_frequencyOnce a week or more:brandDrunk Elephant 9.242e+00
## purchase_frequencyOnce a month:brandDrunk Elephant NA
## purchase_frequencyLess than once a month:brandFirst Aid Beauty 1.038e+00
## purchase_frequencyTwo to three times a month:brandFirst Aid Beauty 3.103e+00
## purchase_frequencyOnce a week or more:brandFirst Aid Beauty 6.000e+00
## purchase_frequencyOnce a month:brandFirst Aid Beauty 2.539e+00
## purchase_frequencyLess than once a month:brandKate Somerville -1.683e+00
## purchase_frequencyTwo to three times a month:brandKate Somerville -8.791e-02
## purchase_frequencyOnce a week or more:brandKate Somerville 8.667e+00
## purchase_frequencyOnce a month:brandKate Somerville -6.993e-01
## purchase_frequencyLess than once a month:brandMATTER OF FACT 1.065e+00
## purchase_frequencyTwo to three times a month:brandMATTER OF FACT 4.217e+00
## purchase_frequencyOnce a week or more:brandMATTER OF FACT 1.045e+01
## purchase_frequencyOnce a month:brandMATTER OF FACT NA
## purchase_frequencyLess than once a month:brandOrigins 1.277e+00
## purchase_frequencyTwo to three times a month:brandOrigins 1.667e+00
## purchase_frequencyOnce a week or more:brandOrigins 1.523e+01
## purchase_frequencyOnce a month:brandOrigins NA
## purchase_frequencyLess than once a month:brandShiseido 5.067e+00
## purchase_frequencyTwo to three times a month:brandShiseido 2.519e+00
## purchase_frequencyOnce a week or more:brandShiseido 7.000e+00
## purchase_frequencyOnce a month:brandShiseido 2.071e+00
## purchase_frequencyLess than once a month:brandSunday Riley 4.446e-01
## purchase_frequencyTwo to three times a month:brandSunday Riley 6.462e-01
## purchase_frequencyOnce a week or more:brandSunday Riley NA
## purchase_frequencyOnce a month:brandSunday Riley NA
## Std. Error
## (Intercept) 4.779e+00
## purchase_frequencyLess than once a month 4.936e+00
## purchase_frequencyTwo to three times a month 4.959e+00
## purchase_frequencyOnce a week or more 6.759e+00
## purchase_frequencyOnce a month 4.910e+00
## brandDrunk Elephant 1.504e+00
## brandFirst Aid Beauty 6.759e+00
## brandKate Somerville 6.759e+00
## brandMATTER OF FACT 1.504e+00
## brandOrigins 1.477e+00
## brandShiseido 6.759e+00
## brandSunday Riley 1.504e+00
## purchase_frequencyLess than once a month:brandDrunk Elephant 2.220e+00
## purchase_frequencyTwo to three times a month:brandDrunk Elephant 2.930e+00
## purchase_frequencyOnce a week or more:brandDrunk Elephant 5.720e+00
## purchase_frequencyOnce a month:brandDrunk Elephant NA
## purchase_frequencyLess than once a month:brandFirst Aid Beauty 6.988e+00
## purchase_frequencyTwo to three times a month:brandFirst Aid Beauty 7.158e+00
## purchase_frequencyOnce a week or more:brandFirst Aid Beauty 8.941e+00
## purchase_frequencyOnce a month:brandFirst Aid Beauty 6.935e+00
## purchase_frequencyLess than once a month:brandKate Somerville 6.953e+00
## purchase_frequencyTwo to three times a month:brandKate Somerville 7.120e+00
## purchase_frequencyOnce a week or more:brandKate Somerville 8.725e+00
## purchase_frequencyOnce a month:brandKate Somerville 6.949e+00
## purchase_frequencyLess than once a month:brandMATTER OF FACT 2.220e+00
## purchase_frequencyTwo to three times a month:brandMATTER OF FACT 3.119e+00
## purchase_frequencyOnce a week or more:brandMATTER OF FACT 5.551e+00
## purchase_frequencyOnce a month:brandMATTER OF FACT NA
## purchase_frequencyLess than once a month:brandOrigins 2.215e+00
## purchase_frequencyTwo to three times a month:brandOrigins 2.783e+00
## purchase_frequencyOnce a week or more:brandOrigins 6.918e+00
## purchase_frequencyOnce a month:brandOrigins NA
## purchase_frequencyLess than once a month:brandShiseido 6.980e+00
## purchase_frequencyTwo to three times a month:brandShiseido 7.091e+00
## purchase_frequencyOnce a week or more:brandShiseido 8.725e+00
## purchase_frequencyOnce a month:brandShiseido 6.927e+00
## purchase_frequencyLess than once a month:brandSunday Riley 2.283e+00
## purchase_frequencyTwo to three times a month:brandSunday Riley 2.403e+00
## purchase_frequencyOnce a week or more:brandSunday Riley NA
## purchase_frequencyOnce a month:brandSunday Riley NA
## t value
## (Intercept) 1.046
## purchase_frequencyLess than once a month 0.513
## purchase_frequencyTwo to three times a month 1.055
## purchase_frequencyOnce a week or more -0.148
## purchase_frequencyOnce a month 0.837
## brandDrunk Elephant 1.169
## brandFirst Aid Beauty 0.000
## brandKate Somerville 0.000
## brandMATTER OF FACT -1.462
## brandOrigins 0.520
## brandShiseido -0.148
## brandSunday Riley 0.389
## purchase_frequencyLess than once a month:brandDrunk Elephant -0.582
## purchase_frequencyTwo to three times a month:brandDrunk Elephant -1.225
## purchase_frequencyOnce a week or more:brandDrunk Elephant 1.616
## purchase_frequencyOnce a month:brandDrunk Elephant NA
## purchase_frequencyLess than once a month:brandFirst Aid Beauty 0.149
## purchase_frequencyTwo to three times a month:brandFirst Aid Beauty 0.433
## purchase_frequencyOnce a week or more:brandFirst Aid Beauty 0.671
## purchase_frequencyOnce a month:brandFirst Aid Beauty 0.366
## purchase_frequencyLess than once a month:brandKate Somerville -0.242
## purchase_frequencyTwo to three times a month:brandKate Somerville -0.012
## purchase_frequencyOnce a week or more:brandKate Somerville 0.993
## purchase_frequencyOnce a month:brandKate Somerville -0.101
## purchase_frequencyLess than once a month:brandMATTER OF FACT 0.480
## purchase_frequencyTwo to three times a month:brandMATTER OF FACT 1.352
## purchase_frequencyOnce a week or more:brandMATTER OF FACT 1.882
## purchase_frequencyOnce a month:brandMATTER OF FACT NA
## purchase_frequencyLess than once a month:brandOrigins 0.576
## purchase_frequencyTwo to three times a month:brandOrigins 0.599
## purchase_frequencyOnce a week or more:brandOrigins 2.202
## purchase_frequencyOnce a month:brandOrigins NA
## purchase_frequencyLess than once a month:brandShiseido 0.726
## purchase_frequencyTwo to three times a month:brandShiseido 0.355
## purchase_frequencyOnce a week or more:brandShiseido 0.802
## purchase_frequencyOnce a month:brandShiseido 0.299
## purchase_frequencyLess than once a month:brandSunday Riley 0.195
## purchase_frequencyTwo to three times a month:brandSunday Riley 0.269
## purchase_frequencyOnce a week or more:brandSunday Riley NA
## purchase_frequencyOnce a month:brandSunday Riley NA
## Pr(>|t|)
## (Intercept) 0.2962
## purchase_frequencyLess than once a month 0.6081
## purchase_frequencyTwo to three times a month 0.2923
## purchase_frequencyOnce a week or more 0.8825
## purchase_frequencyOnce a month 0.4030
## brandDrunk Elephant 0.2431
## brandFirst Aid Beauty 1.0000
## brandKate Somerville 1.0000
## brandMATTER OF FACT 0.1447
## brandOrigins 0.6031
## brandShiseido 0.8825
## brandSunday Riley 0.6977
## purchase_frequencyLess than once a month:brandDrunk Elephant 0.5609
## purchase_frequencyTwo to three times a month:brandDrunk Elephant 0.2214
## purchase_frequencyOnce a week or more:brandDrunk Elephant 0.1070
## purchase_frequencyOnce a month:brandDrunk Elephant NA
## purchase_frequencyLess than once a month:brandFirst Aid Beauty 0.8820
## purchase_frequencyTwo to three times a month:brandFirst Aid Beauty 0.6650
## purchase_frequencyOnce a week or more:brandFirst Aid Beauty 0.5026
## purchase_frequencyOnce a month:brandFirst Aid Beauty 0.7145
## purchase_frequencyLess than once a month:brandKate Somerville 0.8088
## purchase_frequencyTwo to three times a month:brandKate Somerville 0.9902
## purchase_frequencyOnce a week or more:brandKate Somerville 0.3212
## purchase_frequencyOnce a month:brandKate Somerville 0.9199
## purchase_frequencyLess than once a month:brandMATTER OF FACT 0.6317
## purchase_frequencyTwo to three times a month:brandMATTER OF FACT 0.1772
## purchase_frequencyOnce a week or more:brandMATTER OF FACT 0.0606 .
## purchase_frequencyOnce a month:brandMATTER OF FACT NA
## purchase_frequencyLess than once a month:brandOrigins 0.5647
## purchase_frequencyTwo to three times a month:brandOrigins 0.5496
## purchase_frequencyOnce a week or more:brandOrigins 0.0283 *
## purchase_frequencyOnce a month:brandOrigins NA
## purchase_frequencyLess than once a month:brandShiseido 0.4684
## purchase_frequencyTwo to three times a month:brandShiseido 0.7226
## purchase_frequencyOnce a week or more:brandShiseido 0.4229
## purchase_frequencyOnce a month:brandShiseido 0.7652
## purchase_frequencyLess than once a month:brandSunday Riley 0.8457
## purchase_frequencyTwo to three times a month:brandSunday Riley 0.7882
## purchase_frequencyOnce a week or more:brandSunday Riley NA
## purchase_frequencyOnce a month:brandSunday Riley NA
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.779 on 358 degrees of freedom
## Multiple R-squared: 0.1676, Adjusted R-squared: 0.0885
## F-statistic: 2.119 on 34 and 358 DF, p-value: 0.00041## [1] "\nBrand B Results:"##
## Call:
## lm(formula = brand_awareness ~ purchase_frequency * brand, data = regression_data_b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.000 -2.533 -1.177 2.133 13.177
##
## Coefficients: (6 not defined because of singularities)
## Estimate
## (Intercept) 6.000e+00
## purchase_frequencyLess than once a month 8.235e-01
## purchase_frequencyTwo to three times a month 2.400e+00
## purchase_frequencyOnce a week or more 3.013e-13
## purchase_frequencyOnce a month 1.714e+00
## brandfresh -2.000e+00
## brandIT Cosmetics 4.195e+00
## brandMARA -1.381e+00
## brandMoon Juice -2.000e+00
## brandNaturally Serious -1.241e+00
## brandPeter Thomas Roth 1.667e+00
## brandYouth To The People 1.786e+00
## purchase_frequencyLess than once a month:brandfresh 4.471e+00
## purchase_frequencyTwo to three times a month:brandfresh 3.433e+00
## purchase_frequencyOnce a week or more:brandfresh 5.333e+00
## purchase_frequencyOnce a month:brandfresh 2.170e+00
## purchase_frequencyLess than once a month:brandIT Cosmetics 1.982e+00
## purchase_frequencyTwo to three times a month:brandIT Cosmetics 1.405e+00
## purchase_frequencyOnce a week or more:brandIT Cosmetics NA
## purchase_frequencyOnce a month:brandIT Cosmetics NA
## purchase_frequencyLess than once a month:brandMARA 4.241e-01
## purchase_frequencyTwo to three times a month:brandMARA 2.163e+00
## purchase_frequencyOnce a week or more:brandMARA -6.190e-01
## purchase_frequencyOnce a month:brandMARA NA
## purchase_frequencyLess than once a month:brandMoon Juice 2.176e+00
## purchase_frequencyTwo to three times a month:brandMoon Juice -6.857e-01
## purchase_frequencyOnce a week or more:brandMoon Juice 5.500e+00
## purchase_frequencyOnce a month:brandMoon Juice 5.657e-01
## purchase_frequencyLess than once a month:brandNaturally Serious 5.935e-01
## purchase_frequencyTwo to three times a month:brandNaturally Serious 1.841e+00
## purchase_frequencyOnce a week or more:brandNaturally Serious 3.741e+00
## purchase_frequencyOnce a month:brandNaturally Serious NA
## purchase_frequencyLess than once a month:brandPeter Thomas Roth -1.957e+00
## purchase_frequencyTwo to three times a month:brandPeter Thomas Roth 7.111e-01
## purchase_frequencyOnce a week or more:brandPeter Thomas Roth -1.667e-01
## purchase_frequencyOnce a month:brandPeter Thomas Roth NA
## purchase_frequencyLess than once a month:brandYouth To The People -2.246e+00
## purchase_frequencyTwo to three times a month:brandYouth To The People -1.857e-01
## purchase_frequencyOnce a week or more:brandYouth To The People 3.814e+00
## purchase_frequencyOnce a month:brandYouth To The People NA
## Std. Error
## (Intercept) 3.002e+00
## purchase_frequencyLess than once a month 3.174e+00
## purchase_frequencyTwo to three times a month 3.552e+00
## purchase_frequencyOnce a week or more 4.246e+00
## purchase_frequencyOnce a month 3.142e+00
## brandfresh 5.200e+00
## brandIT Cosmetics 1.295e+00
## brandMARA 1.310e+00
## brandMoon Juice 5.200e+00
## brandNaturally Serious 1.344e+00
## brandPeter Thomas Roth 1.310e+00
## brandYouth To The People 1.409e+00
## purchase_frequencyLess than once a month:brandfresh 5.400e+00
## purchase_frequencyTwo to three times a month:brandfresh 5.801e+00
## purchase_frequencyOnce a week or more:brandfresh 6.485e+00
## purchase_frequencyOnce a month:brandfresh 5.347e+00
## purchase_frequencyLess than once a month:brandIT Cosmetics 1.920e+00
## purchase_frequencyTwo to three times a month:brandIT Cosmetics 2.662e+00
## purchase_frequencyOnce a week or more:brandIT Cosmetics NA
## purchase_frequencyOnce a month:brandIT Cosmetics NA
## purchase_frequencyLess than once a month:brandMARA 1.995e+00
## purchase_frequencyTwo to three times a month:brandMARA 2.638e+00
## purchase_frequencyOnce a week or more:brandMARA 5.362e+00
## purchase_frequencyOnce a month:brandMARA NA
## purchase_frequencyLess than once a month:brandMoon Juice 5.400e+00
## purchase_frequencyTwo to three times a month:brandMoon Juice 5.764e+00
## purchase_frequencyOnce a week or more:brandMoon Juice 6.713e+00
## purchase_frequencyOnce a month:brandMoon Juice 5.350e+00
## purchase_frequencyLess than once a month:brandNaturally Serious 1.982e+00
## purchase_frequencyTwo to three times a month:brandNaturally Serious 2.826e+00
## purchase_frequencyOnce a week or more:brandNaturally Serious 4.453e+00
## purchase_frequencyOnce a month:brandNaturally Serious NA
## purchase_frequencyLess than once a month:brandPeter Thomas Roth 1.995e+00
## purchase_frequencyTwo to three times a month:brandPeter Thomas Roth 2.706e+00
## purchase_frequencyOnce a week or more:brandPeter Thomas Roth 4.443e+00
## purchase_frequencyOnce a month:brandPeter Thomas Roth NA
## purchase_frequencyLess than once a month:brandYouth To The People 1.966e+00
## purchase_frequencyTwo to three times a month:brandYouth To The People 2.857e+00
## purchase_frequencyOnce a week or more:brandYouth To The People 3.821e+00
## purchase_frequencyOnce a month:brandYouth To The People NA
## t value
## (Intercept) 1.999
## purchase_frequencyLess than once a month 0.259
## purchase_frequencyTwo to three times a month 0.676
## purchase_frequencyOnce a week or more 0.000
## purchase_frequencyOnce a month 0.546
## brandfresh -0.385
## brandIT Cosmetics 3.239
## brandMARA -1.054
## brandMoon Juice -0.385
## brandNaturally Serious -0.923
## brandPeter Thomas Roth 1.272
## brandYouth To The People 1.267
## purchase_frequencyLess than once a month:brandfresh 0.828
## purchase_frequencyTwo to three times a month:brandfresh 0.592
## purchase_frequencyOnce a week or more:brandfresh 0.822
## purchase_frequencyOnce a month:brandfresh 0.406
## purchase_frequencyLess than once a month:brandIT Cosmetics 1.032
## purchase_frequencyTwo to three times a month:brandIT Cosmetics 0.528
## purchase_frequencyOnce a week or more:brandIT Cosmetics NA
## purchase_frequencyOnce a month:brandIT Cosmetics NA
## purchase_frequencyLess than once a month:brandMARA 0.213
## purchase_frequencyTwo to three times a month:brandMARA 0.820
## purchase_frequencyOnce a week or more:brandMARA -0.115
## purchase_frequencyOnce a month:brandMARA NA
## purchase_frequencyLess than once a month:brandMoon Juice 0.403
## purchase_frequencyTwo to three times a month:brandMoon Juice -0.119
## purchase_frequencyOnce a week or more:brandMoon Juice 0.819
## purchase_frequencyOnce a month:brandMoon Juice 0.106
## purchase_frequencyLess than once a month:brandNaturally Serious 0.299
## purchase_frequencyTwo to three times a month:brandNaturally Serious 0.651
## purchase_frequencyOnce a week or more:brandNaturally Serious 0.840
## purchase_frequencyOnce a month:brandNaturally Serious NA
## purchase_frequencyLess than once a month:brandPeter Thomas Roth -0.981
## purchase_frequencyTwo to three times a month:brandPeter Thomas Roth 0.263
## purchase_frequencyOnce a week or more:brandPeter Thomas Roth -0.038
## purchase_frequencyOnce a month:brandPeter Thomas Roth NA
## purchase_frequencyLess than once a month:brandYouth To The People -1.142
## purchase_frequencyTwo to three times a month:brandYouth To The People -0.065
## purchase_frequencyOnce a week or more:brandYouth To The People 0.998
## purchase_frequencyOnce a month:brandYouth To The People NA
## Pr(>|t|)
## (Intercept) 0.04641
## purchase_frequencyLess than once a month 0.79542
## purchase_frequencyTwo to three times a month 0.49970
## purchase_frequencyOnce a week or more 1.00000
## purchase_frequencyOnce a month 0.58566
## brandfresh 0.70074
## brandIT Cosmetics 0.00131
## brandMARA 0.29261
## brandMoon Juice 0.70074
## brandNaturally Serious 0.35669
## brandPeter Thomas Roth 0.20418
## brandYouth To The People 0.20581
## purchase_frequencyLess than once a month:brandfresh 0.40828
## purchase_frequencyTwo to three times a month:brandfresh 0.55430
## purchase_frequencyOnce a week or more:brandfresh 0.41141
## purchase_frequencyOnce a month:brandfresh 0.68506
## purchase_frequencyLess than once a month:brandIT Cosmetics 0.30274
## purchase_frequencyTwo to three times a month:brandIT Cosmetics 0.59789
## purchase_frequencyOnce a week or more:brandIT Cosmetics NA
## purchase_frequencyOnce a month:brandIT Cosmetics NA
## purchase_frequencyLess than once a month:brandMARA 0.83175
## purchase_frequencyTwo to three times a month:brandMARA 0.41289
## purchase_frequencyOnce a week or more:brandMARA 0.90816
## purchase_frequencyOnce a month:brandMARA NA
## purchase_frequencyLess than once a month:brandMoon Juice 0.68715
## purchase_frequencyTwo to three times a month:brandMoon Juice 0.90536
## purchase_frequencyOnce a week or more:brandMoon Juice 0.41315
## purchase_frequencyOnce a month:brandMoon Juice 0.91584
## purchase_frequencyLess than once a month:brandNaturally Serious 0.76474
## purchase_frequencyTwo to three times a month:brandNaturally Serious 0.51529
## purchase_frequencyOnce a week or more:brandNaturally Serious 0.40150
## purchase_frequencyOnce a month:brandNaturally Serious NA
## purchase_frequencyLess than once a month:brandPeter Thomas Roth 0.32723
## purchase_frequencyTwo to three times a month:brandPeter Thomas Roth 0.79289
## purchase_frequencyOnce a week or more:brandPeter Thomas Roth 0.97010
## purchase_frequencyOnce a month:brandPeter Thomas Roth NA
## purchase_frequencyLess than once a month:brandYouth To The People 0.25409
## purchase_frequencyTwo to three times a month:brandYouth To The People 0.94822
## purchase_frequencyOnce a week or more:brandYouth To The People 0.31888
## purchase_frequencyOnce a month:brandYouth To The People NA
##
## (Intercept) *
## purchase_frequencyLess than once a month
## purchase_frequencyTwo to three times a month
## purchase_frequencyOnce a week or more
## purchase_frequencyOnce a month
## brandfresh
## brandIT Cosmetics **
## brandMARA
## brandMoon Juice
## brandNaturally Serious
## brandPeter Thomas Roth
## brandYouth To The People
## purchase_frequencyLess than once a month:brandfresh
## purchase_frequencyTwo to three times a month:brandfresh
## purchase_frequencyOnce a week or more:brandfresh
## purchase_frequencyOnce a month:brandfresh
## purchase_frequencyLess than once a month:brandIT Cosmetics
## purchase_frequencyTwo to three times a month:brandIT Cosmetics
## purchase_frequencyOnce a week or more:brandIT Cosmetics
## purchase_frequencyOnce a month:brandIT Cosmetics
## purchase_frequencyLess than once a month:brandMARA
## purchase_frequencyTwo to three times a month:brandMARA
## purchase_frequencyOnce a week or more:brandMARA
## purchase_frequencyOnce a month:brandMARA
## purchase_frequencyLess than once a month:brandMoon Juice
## purchase_frequencyTwo to three times a month:brandMoon Juice
## purchase_frequencyOnce a week or more:brandMoon Juice
## purchase_frequencyOnce a month:brandMoon Juice
## purchase_frequencyLess than once a month:brandNaturally Serious
## purchase_frequencyTwo to three times a month:brandNaturally Serious
## purchase_frequencyOnce a week or more:brandNaturally Serious
## purchase_frequencyOnce a month:brandNaturally Serious
## purchase_frequencyLess than once a month:brandPeter Thomas Roth
## purchase_frequencyTwo to three times a month:brandPeter Thomas Roth
## purchase_frequencyOnce a week or more:brandPeter Thomas Roth
## purchase_frequencyOnce a month:brandPeter Thomas Roth
## purchase_frequencyLess than once a month:brandYouth To The People
## purchase_frequencyTwo to three times a month:brandYouth To The People
## purchase_frequencyOnce a week or more:brandYouth To The People
## purchase_frequencyOnce a month:brandYouth To The People
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.246 on 359 degrees of freedom
## Multiple R-squared: 0.2362, Adjusted R-squared: 0.166
## F-statistic: 3.364 on 33 and 359 DF, p-value: 8.785e-09## [1] "\nBrand C Results:"##
## Call:
## lm(formula = brand_awareness ~ purchase_frequency * brand, data = regression_data_c)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.8333 -2.4286 -0.7143 1.8889 10.8824
##
## Coefficients: (6 not defined because of singularities)
## Estimate
## (Intercept) 4.000e+00
## purchase_frequencyLess than once a month 1.550e+00
## purchase_frequencyTwo to three times a month 7.000e+00
## purchase_frequencyOnce a week or more 9.667e+00
## purchase_frequencyOnce a month 1.714e+00
## brandCaudalie 3.933e+00
## brandCLINIQUE 1.200e+01
## brandiNNBEAUTY PROJECT 1.244e+00
## brandKiehl's Since 1851 9.000e+00
## brandKORA Organics 3.558e+00
## brandPaula's Choice 2.020e-13
## brandThe Outset 1.917e+00
## purchase_frequencyLess than once a month:brandCaudalie -3.365e+00
## purchase_frequencyTwo to three times a month:brandCaudalie -4.133e+00
## purchase_frequencyOnce a week or more:brandCaudalie -1.080e+01
## purchase_frequencyOnce a month:brandCaudalie NA
## purchase_frequencyLess than once a month:brandCLINIQUE 5.611e-01
## purchase_frequencyTwo to three times a month:brandCLINIQUE -4.857e+00
## purchase_frequencyOnce a week or more:brandCLINIQUE -5.667e+00
## purchase_frequencyOnce a month:brandCLINIQUE 4.762e-01
## purchase_frequencyLess than once a month:brandiNNBEAUTY PROJECT -6.274e-01
## purchase_frequencyTwo to three times a month:brandiNNBEAUTY PROJECT -5.744e+00
## purchase_frequencyOnce a week or more:brandiNNBEAUTY PROJECT -6.911e+00
## purchase_frequencyOnce a month:brandiNNBEAUTY PROJECT NA
## purchase_frequencyLess than once a month:brandKiehl's Since 1851 -3.704e+00
## purchase_frequencyTwo to three times a month:brandKiehl's Since 1851 -8.333e+00
## purchase_frequencyOnce a week or more:brandKiehl's Since 1851 -1.267e+01
## purchase_frequencyOnce a month:brandKiehl's Since 1851 -3.548e+00
## purchase_frequencyLess than once a month:brandKORA Organics -3.553e+00
## purchase_frequencyTwo to three times a month:brandKORA Organics -5.258e+00
## purchase_frequencyOnce a week or more:brandKORA Organics NA
## purchase_frequencyOnce a month:brandKORA Organics NA
## purchase_frequencyLess than once a month:brandPaula's Choice 3.950e+00
## purchase_frequencyTwo to three times a month:brandPaula's Choice 2.833e+00
## purchase_frequencyOnce a week or more:brandPaula's Choice NA
## purchase_frequencyOnce a month:brandPaula's Choice 3.590e+00
## purchase_frequencyLess than once a month:brandThe Outset -1.114e+00
## purchase_frequencyTwo to three times a month:brandThe Outset -5.489e+00
## purchase_frequencyOnce a week or more:brandThe Outset -9.984e+00
## purchase_frequencyOnce a month:brandThe Outset NA
## Std. Error
## (Intercept) 4.154e+00
## purchase_frequencyLess than once a month 4.257e+00
## purchase_frequencyTwo to three times a month 4.441e+00
## purchase_frequencyOnce a week or more 4.797e+00
## purchase_frequencyOnce a month 4.252e+00
## brandCaudalie 1.355e+00
## brandCLINIQUE 5.875e+00
## brandiNNBEAUTY PROJECT 1.241e+00
## brandKiehl's Since 1851 5.875e+00
## brandKORA Organics 1.267e+00
## brandPaula's Choice 5.875e+00
## brandThe Outset 1.315e+00
## purchase_frequencyLess than once a month:brandCaudalie 1.928e+00
## purchase_frequencyTwo to three times a month:brandCaudalie 2.455e+00
## purchase_frequencyOnce a week or more:brandCaudalie 3.323e+00
## purchase_frequencyOnce a month:brandCaudalie NA
## purchase_frequencyLess than once a month:brandCLINIQUE 6.028e+00
## purchase_frequencyTwo to three times a month:brandCLINIQUE 6.281e+00
## purchase_frequencyOnce a week or more:brandCLINIQUE 7.585e+00
## purchase_frequencyOnce a month:brandCLINIQUE 6.014e+00
## purchase_frequencyLess than once a month:brandiNNBEAUTY PROJECT 1.834e+00
## purchase_frequencyTwo to three times a month:brandiNNBEAUTY PROJECT 2.624e+00
## purchase_frequencyOnce a week or more:brandiNNBEAUTY PROJECT 4.955e+00
## purchase_frequencyOnce a month:brandiNNBEAUTY PROJECT NA
## purchase_frequencyLess than once a month:brandKiehl's Since 1851 6.059e+00
## purchase_frequencyTwo to three times a month:brandKiehl's Since 1851 6.237e+00
## purchase_frequencyOnce a week or more:brandKiehl's Since 1851 6.993e+00
## purchase_frequencyOnce a month:brandKiehl's Since 1851 6.005e+00
## purchase_frequencyLess than once a month:brandKORA Organics 1.852e+00
## purchase_frequencyTwo to three times a month:brandKORA Organics 2.408e+00
## purchase_frequencyOnce a week or more:brandKORA Organics NA
## purchase_frequencyOnce a month:brandKORA Organics NA
## purchase_frequencyLess than once a month:brandPaula's Choice 6.028e+00
## purchase_frequencyTwo to three times a month:brandPaula's Choice 6.314e+00
## purchase_frequencyOnce a week or more:brandPaula's Choice NA
## purchase_frequencyOnce a month:brandPaula's Choice 6.008e+00
## purchase_frequencyLess than once a month:brandThe Outset 1.900e+00
## purchase_frequencyTwo to three times a month:brandThe Outset 2.581e+00
## purchase_frequencyOnce a week or more:brandThe Outset 3.307e+00
## purchase_frequencyOnce a month:brandThe Outset NA
## t value
## (Intercept) 0.963
## purchase_frequencyLess than once a month 0.364
## purchase_frequencyTwo to three times a month 1.576
## purchase_frequencyOnce a week or more 2.015
## purchase_frequencyOnce a month 0.403
## brandCaudalie 2.902
## brandCLINIQUE 2.042
## brandiNNBEAUTY PROJECT 1.002
## brandKiehl's Since 1851 1.532
## brandKORA Organics 2.808
## brandPaula's Choice 0.000
## brandThe Outset 1.458
## purchase_frequencyLess than once a month:brandCaudalie -1.746
## purchase_frequencyTwo to three times a month:brandCaudalie -1.683
## purchase_frequencyOnce a week or more:brandCaudalie -3.250
## purchase_frequencyOnce a month:brandCaudalie NA
## purchase_frequencyLess than once a month:brandCLINIQUE 0.093
## purchase_frequencyTwo to three times a month:brandCLINIQUE -0.773
## purchase_frequencyOnce a week or more:brandCLINIQUE -0.747
## purchase_frequencyOnce a month:brandCLINIQUE 0.079
## purchase_frequencyLess than once a month:brandiNNBEAUTY PROJECT -0.342
## purchase_frequencyTwo to three times a month:brandiNNBEAUTY PROJECT -2.189
## purchase_frequencyOnce a week or more:brandiNNBEAUTY PROJECT -1.395
## purchase_frequencyOnce a month:brandiNNBEAUTY PROJECT NA
## purchase_frequencyLess than once a month:brandKiehl's Since 1851 -0.611
## purchase_frequencyTwo to three times a month:brandKiehl's Since 1851 -1.336
## purchase_frequencyOnce a week or more:brandKiehl's Since 1851 -1.811
## purchase_frequencyOnce a month:brandKiehl's Since 1851 -0.591
## purchase_frequencyLess than once a month:brandKORA Organics -1.919
## purchase_frequencyTwo to three times a month:brandKORA Organics -2.184
## purchase_frequencyOnce a week or more:brandKORA Organics NA
## purchase_frequencyOnce a month:brandKORA Organics NA
## purchase_frequencyLess than once a month:brandPaula's Choice 0.655
## purchase_frequencyTwo to three times a month:brandPaula's Choice 0.449
## purchase_frequencyOnce a week or more:brandPaula's Choice NA
## purchase_frequencyOnce a month:brandPaula's Choice 0.598
## purchase_frequencyLess than once a month:brandThe Outset -0.587
## purchase_frequencyTwo to three times a month:brandThe Outset -2.127
## purchase_frequencyOnce a week or more:brandThe Outset -3.019
## purchase_frequencyOnce a month:brandThe Outset NA
## Pr(>|t|)
## (Intercept) 0.33628
## purchase_frequencyLess than once a month 0.71600
## purchase_frequencyTwo to three times a month 0.11588
## purchase_frequencyOnce a week or more 0.04464
## purchase_frequencyOnce a month 0.68708
## brandCaudalie 0.00394
## brandCLINIQUE 0.04184
## brandiNNBEAUTY PROJECT 0.31695
## brandKiehl's Since 1851 0.12644
## brandKORA Organics 0.00526
## brandPaula's Choice 1.00000
## brandThe Outset 0.14583
## purchase_frequencyLess than once a month:brandCaudalie 0.08170
## purchase_frequencyTwo to three times a month:brandCaudalie 0.09321
## purchase_frequencyOnce a week or more:brandCaudalie 0.00126
## purchase_frequencyOnce a month:brandCaudalie NA
## purchase_frequencyLess than once a month:brandCLINIQUE 0.92589
## purchase_frequencyTwo to three times a month:brandCLINIQUE 0.43984
## purchase_frequencyOnce a week or more:brandCLINIQUE 0.45550
## purchase_frequencyOnce a month:brandCLINIQUE 0.93693
## purchase_frequencyLess than once a month:brandiNNBEAUTY PROJECT 0.73246
## purchase_frequencyTwo to three times a month:brandiNNBEAUTY PROJECT 0.02921
## purchase_frequencyOnce a week or more:brandiNNBEAUTY PROJECT 0.16398
## purchase_frequencyOnce a month:brandiNNBEAUTY PROJECT NA
## purchase_frequencyLess than once a month:brandKiehl's Since 1851 0.54138
## purchase_frequencyTwo to three times a month:brandKiehl's Since 1851 0.18237
## purchase_frequencyOnce a week or more:brandKiehl's Since 1851 0.07092
## purchase_frequencyOnce a month:brandKiehl's Since 1851 0.55504
## purchase_frequencyLess than once a month:brandKORA Organics 0.05579
## purchase_frequencyTwo to three times a month:brandKORA Organics 0.02962
## purchase_frequencyOnce a week or more:brandKORA Organics NA
## purchase_frequencyOnce a month:brandKORA Organics NA
## purchase_frequencyLess than once a month:brandPaula's Choice 0.51273
## purchase_frequencyTwo to three times a month:brandPaula's Choice 0.65387
## purchase_frequencyOnce a week or more:brandPaula's Choice NA
## purchase_frequencyOnce a month:brandPaula's Choice 0.55049
## purchase_frequencyLess than once a month:brandThe Outset 0.55783
## purchase_frequencyTwo to three times a month:brandThe Outset 0.03414
## purchase_frequencyOnce a week or more:brandThe Outset 0.00272
## purchase_frequencyOnce a month:brandThe Outset NA
##
## (Intercept)
## purchase_frequencyLess than once a month
## purchase_frequencyTwo to three times a month
## purchase_frequencyOnce a week or more *
## purchase_frequencyOnce a month
## brandCaudalie **
## brandCLINIQUE *
## brandiNNBEAUTY PROJECT
## brandKiehl's Since 1851
## brandKORA Organics **
## brandPaula's Choice
## brandThe Outset
## purchase_frequencyLess than once a month:brandCaudalie .
## purchase_frequencyTwo to three times a month:brandCaudalie .
## purchase_frequencyOnce a week or more:brandCaudalie **
## purchase_frequencyOnce a month:brandCaudalie
## purchase_frequencyLess than once a month:brandCLINIQUE
## purchase_frequencyTwo to three times a month:brandCLINIQUE
## purchase_frequencyOnce a week or more:brandCLINIQUE
## purchase_frequencyOnce a month:brandCLINIQUE
## purchase_frequencyLess than once a month:brandiNNBEAUTY PROJECT
## purchase_frequencyTwo to three times a month:brandiNNBEAUTY PROJECT *
## purchase_frequencyOnce a week or more:brandiNNBEAUTY PROJECT
## purchase_frequencyOnce a month:brandiNNBEAUTY PROJECT
## purchase_frequencyLess than once a month:brandKiehl's Since 1851
## purchase_frequencyTwo to three times a month:brandKiehl's Since 1851
## purchase_frequencyOnce a week or more:brandKiehl's Since 1851 .
## purchase_frequencyOnce a month:brandKiehl's Since 1851
## purchase_frequencyLess than once a month:brandKORA Organics .
## purchase_frequencyTwo to three times a month:brandKORA Organics *
## purchase_frequencyOnce a week or more:brandKORA Organics
## purchase_frequencyOnce a month:brandKORA Organics
## purchase_frequencyLess than once a month:brandPaula's Choice
## purchase_frequencyTwo to three times a month:brandPaula's Choice
## purchase_frequencyOnce a week or more:brandPaula's Choice
## purchase_frequencyOnce a month:brandPaula's Choice
## purchase_frequencyLess than once a month:brandThe Outset
## purchase_frequencyTwo to three times a month:brandThe Outset *
## purchase_frequencyOnce a week or more:brandThe Outset **
## purchase_frequencyOnce a month:brandThe Outset
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.154 on 359 degrees of freedom
## Multiple R-squared: 0.4868, Adjusted R-squared: 0.4396
## F-statistic: 10.32 on 33 and 359 DF, p-value: < 2.2e-16## [1] "\nANOVA Results:"## [1] "Brand A:"## Analysis of Variance Table
##
## Response: brand_awareness
## Df Sum Sq Mean Sq F value Pr(>F)
## purchase_frequency 4 640.7 160.183 7.0137 1.911e-05 ***
## brand 7 518.6 74.088 3.2440 0.002375 **
## purchase_frequency:brand 23 486.5 21.150 0.9261 0.563357
## Residuals 358 8176.3 22.839
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## [1] "\nBrand B:"## Analysis of Variance Table
##
## Response: brand_awareness
## Df Sum Sq Mean Sq F value Pr(>F)
## purchase_frequency 4 258.2 64.556 3.5814 0.007026 **
## brand 7 1403.7 200.527 11.1245 9.451e-13 ***
## purchase_frequency:brand 22 338.9 15.404 0.8546 0.655788
## Residuals 359 6471.2 18.026
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## [1] "\nBrand C:"## Analysis of Variance Table
##
## Response: brand_awareness
## Df Sum Sq Mean Sq F value Pr(>F)
## purchase_frequency 4 318.4 79.60 4.6122 0.001212 **
## brand 7 5015.8 716.54 41.5158 < 2.2e-16 ***
## purchase_frequency:brand 22 542.3 24.65 1.4281 0.097187 .
## Residuals 359 6196.1 17.26
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Additional analysis Feb, 22
Compare the distribution of claim interpretation of three claims: not significant
## Warning: package 'gridExtra' was built under R version 4.3.3##
## Attaching package: 'gridExtra'## The following object is masked from 'package:dplyr':
##
## combine
## 1 1,2 1,2,3 1,2,4 1,2,4,6,3 1,2,6,3 1,3 1,4 1,4,3 1,4,6,3 1,6,3 2 2,6
## ClaimA 58 7 2 4 4 1 6 13 9 1 1 7 1
## ClaimB 50 11 4 1 5 0 10 10 14 0 0 2 1
## ClaimC 68 9 1 3 1 1 10 11 6 0 0 3 0
## 2,6,3 3 4 4,3 4,6 6 6,3 1,2,4,3 1,2,4,6 1,2,6 1,4,6 2,3 2,4,3 2,4,6,3
## ClaimA 1 5 3 1 1 2 1 0 0 0 0 0 0 0
## ClaimB 0 2 6 1 0 1 1 1 1 1 2 1 1 1
## ClaimC 1 4 8 3 0 0 0 1 2 1 0 0 1 0## Warning in chisq.test(choice_matrix): Chi-squared approximation may be
## incorrect##
## Pearson's Chi-squared test
##
## data: choice_matrix
## X-squared = 48.547, df = 52, p-value = 0.6105The three aspect of brand equity for each brand
## brand aspect mean_value sd_value ci_lower ci_upper
## 7 Shiseido Awareness 10.73 4.91 9.32 12.15
## 4 First Aid Beauty Awareness 10.65 5.38 9.00 12.31
## 19 Origins Awareness 10.29 4.71 8.97 11.62
## 22 Sunday Riley Awareness 9.79 5.29 8.32 11.26
## 16 Drunk Elephant Awareness 9.75 5.88 8.09 11.40
## 1 Dr. Jart+ Awareness 8.73 4.83 7.33 10.13
## 13 Kate Somerville Awareness 7.79 4.15 6.59 9.00
## 10 MATTER OF FACT Awareness 7.55 3.88 6.46 8.64
## 9 Shiseido Quality 7.39 1.41 6.98 7.79
## 21 Origins Quality 7.33 1.45 6.93 7.74
## 18 Drunk Elephant Quality 7.06 1.80 6.55 7.57
## 24 Sunday Riley Quality 7.06 1.36 6.68 7.44
## 3 Dr. Jart+ Quality 6.94 1.78 6.42 7.45
## 6 First Aid Beauty Quality 6.93 1.55 6.45 7.41
## 12 MATTER OF FACT Quality 6.92 1.26 6.57 7.28
## 15 Kate Somerville Quality 6.88 1.36 6.48 7.27
## 2 Dr. Jart+ Loyalty 6.40 2.59 5.64 7.15
## 20 Origins Loyalty 6.31 2.38 5.64 6.98
## 5 First Aid Beauty Loyalty 6.23 2.28 5.53 6.93
## 23 Sunday Riley Loyalty 6.04 2.54 5.33 6.74
## 8 Shiseido Loyalty 5.90 2.49 5.18 6.61
## 11 MATTER OF FACT Loyalty 5.69 2.53 4.97 6.40
## 17 Drunk Elephant Loyalty 5.51 2.71 4.75 6.27
## 14 Kate Somerville Loyalty 5.19 2.14 4.57 5.81
## 41 IT Cosmetics Awareness 12.73 5.36 11.22 14.23
## 101 Peter Thomas Roth Awareness 8.66 4.94 7.21 10.11
## 221 fresh Awareness 8.57 4.52 7.32 9.81
## 110 Youth To The People Awareness 8.40 4.74 7.05 9.75
## 161 Biossance Awareness 7.32 4.05 6.13 8.51
## 61 IT Cosmetics Quality 7.10 1.65 6.63 7.56
## 121 Peter Thomas Roth Quality 6.91 1.79 6.39 7.44
## 131 Naturally Serious Awareness 6.84 3.30 5.85 7.84
## 181 Biossance Quality 6.83 1.59 6.36 7.30
## 71 MARA Awareness 6.79 3.10 5.89 7.69
## 241 fresh Quality 6.77 1.53 6.35 7.19
## 91 MARA Quality 6.65 1.38 6.25 7.05
## 31 Youth To The People Quality 6.62 1.41 6.22 7.02
## 191 Moon Juice Awareness 6.52 3.55 5.53 7.51
## 151 Naturally Serious Quality 6.29 1.06 5.97 6.61
## 211 Moon Juice Quality 6.19 1.34 5.82 6.57
## 231 fresh Loyalty 6.13 2.74 5.38 6.89
## 51 IT Cosmetics Loyalty 5.63 2.42 4.95 6.31
## 111 Peter Thomas Roth Loyalty 5.36 2.32 4.68 6.04
## 171 Biossance Loyalty 5.34 2.42 4.63 6.05
## 141 Naturally Serious Loyalty 5.31 2.32 4.61 6.01
## 25 Youth To The People Loyalty 5.30 2.00 4.73 5.87
## 201 Moon Juice Loyalty 5.12 2.22 4.50 5.73
## 81 MARA Loyalty 5.06 2.32 4.39 5.74
## 102 CLINIQUE Awareness 18.15 2.09 17.54 18.75
## 162 Kiehl's Since 1851 Awareness 11.16 5.62 9.55 12.78
## 112 Paula's Choice Awareness 9.83 5.52 8.23 11.44
## 192 Caudalie Awareness 8.37 5.07 6.91 9.82
## 122 CLINIQUE Quality 8.23 1.31 7.85 8.61
## 222 KORA Organics Awareness 7.94 4.72 6.60 9.28
## 113 CLINIQUE Loyalty 7.77 3.15 6.86 8.69
## 32 Paula's Choice Quality 7.35 1.64 6.88 7.83
## 182 Kiehl's Since 1851 Quality 7.24 1.79 6.73 7.76
## 212 Caudalie Quality 7.12 1.99 6.55 7.69
## 42 The Outset Awareness 6.94 3.13 6.03 7.85
## 152 Alpyn Beauty Quality 6.81 1.34 6.43 7.18
## 132 Alpyn Beauty Awareness 6.79 3.53 5.81 7.77
## 242 KORA Organics Quality 6.66 1.32 6.29 7.03
## 72 iNNBEAUTY PROJECT Awareness 6.63 3.19 5.72 7.55
## 92 iNNBEAUTY PROJECT Quality 6.45 1.50 6.02 6.88
## 142 Alpyn Beauty Loyalty 6.13 2.73 5.37 6.89
## 26 Paula's Choice Loyalty 6.04 2.90 5.20 6.88
## 62 The Outset Quality 6.04 1.80 5.52 6.56
## 172 Kiehl's Since 1851 Loyalty 6.02 2.56 5.28 6.76
## 202 Caudalie Loyalty 5.63 2.46 4.92 6.34
## 232 KORA Organics Loyalty 5.58 2.63 4.83 6.33
## 82 iNNBEAUTY PROJECT Loyalty 5.22 2.12 4.61 5.83
## 52 The Outset Loyalty 4.12 1.50 3.69 4.56
Confirmative factor analysis
## Warning: package 'lavaan' was built under R version 4.3.3## This is lavaan 0.6-19
## lavaan is FREE software! Please report any bugs.##
## Attaching package: 'lavaan'## The following object is masked from 'package:psych':
##
## cor2cov## The following object is masked from 'package:tm':
##
## inspect## Warning: lavaan->lav_object_post_check():
## some estimated ov variances are negative## lavaan 0.6-19 ended normally after 343 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 720
##
## Number of observations per group:
## Dr. Jart+ 48
## First Aid Beauty 43
## Shiseido 49
## MATTER OF FACT 51
## Kate Somerville 48
## Drunk Elephant 51
## Origins 51
## Sunday Riley 52
## Youth To The People 50
## IT Cosmetics 51
## MARA 48
## Peter Thomas Roth 47
## Naturally Serious 45
## Biossance 47
## Moon Juice 52
## fresh 53
## Paula's Choice 48
## The Outset 48
## iNNBEAUTY PROJECT 49
## CLINIQUE 48
## Alpyn Beauty 52
## Kiehl's Since 1851 49
## Caudalie 49
## KORA Organics 50
##
## Model Test User Model:
##
## Test statistic 906.588
## Degrees of freedom 576
## P-value (Chi-square) 0.000
## Test statistic for each group:
## Dr. Jart+ 34.081
## First Aid Beauty 29.638
## Shiseido 44.585
## MATTER OF FACT 24.366
## Kate Somerville 41.041
## Drunk Elephant 40.652
## Origins 34.287
## Sunday Riley 42.625
## Youth To The People 39.544
## IT Cosmetics 28.944
## MARA 54.567
## Peter Thomas Roth 20.643
## Naturally Serious 57.934
## Biossance 43.842
## Moon Juice 37.845
## fresh 37.048
## Paula's Choice 30.054
## The Outset 41.006
## iNNBEAUTY PROJECT 33.365
## CLINIQUE 25.848
## Alpyn Beauty 31.511
## Kiehl's Since 1851 25.539
## Caudalie 71.075
## KORA Organics 36.547
##
## Model Test Baseline Model:
##
## Test statistic 9652.300
## Degrees of freedom 864
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.962
## Tucker-Lewis Index (TLI) 0.944
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -10558.536
## Loglikelihood unrestricted model (H1) -10105.242
##
## Akaike (AIC) 22557.072
## Bayesian (BIC) 26209.215
## Sample-size adjusted Bayesian (SABIC) 23922.237
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.108
## 90 Percent confidence interval - lower 0.095
## 90 Percent confidence interval - upper 0.121
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 0.999
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.065
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
##
## Group 1 [Dr. Jart+]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.316 0.992
## awareness_2 0.942 0.094 9.997 0.000 1.240 0.849
## awareness_3 0.836 0.086 9.686 0.000 1.100 0.839
## awrnss_4_rvrsd 0.696 0.111 6.255 0.000 0.916 0.686
## Loyalty =~
## loyalty_1 1.000 0.809 0.819
## loyalty_2 1.008 0.183 5.501 0.000 0.815 0.807
## loyalty_3 0.877 0.172 5.088 0.000 0.709 0.737
## Quality =~
## quality_1 1.000 1.008 1.054
## quality_2 0.706 0.109 6.465 0.000 0.712 0.822
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.613 0.200 3.067 0.002 0.576 0.576
## Quality 0.713 0.210 3.399 0.001 0.537 0.537
## Loyalty ~~
## Quality 0.411 0.141 2.920 0.004 0.505 0.505
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.104 0.191 10.989 0.000 2.104 1.586
## .awareness_2 2.104 0.211 9.977 0.000 2.104 1.440
## .awareness_3 2.104 0.189 11.121 0.000 2.104 1.605
## .awrnss_4_rvrsd 2.417 0.193 12.533 0.000 2.417 1.809
## .loyalty_1 1.938 0.143 13.592 0.000 1.938 1.962
## .loyalty_2 2.354 0.146 16.146 0.000 2.354 2.331
## .loyalty_3 2.104 0.139 15.144 0.000 2.104 2.186
## .quality_1 3.458 0.138 25.049 0.000 3.458 3.616
## .quality_2 3.479 0.125 27.841 0.000 3.479 4.019
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.028 0.070 0.397 0.691 0.028 0.016
## .awareness_2 0.597 0.138 4.323 0.000 0.597 0.280
## .awareness_3 0.508 0.116 4.388 0.000 0.508 0.295
## .awrnss_4_rvrsd 0.946 0.198 4.785 0.000 0.946 0.530
## .loyalty_1 0.322 0.106 3.026 0.002 0.322 0.330
## .loyalty_2 0.356 0.112 3.172 0.002 0.356 0.349
## .loyalty_3 0.424 0.111 3.829 0.000 0.424 0.457
## .quality_1 -0.102 0.126 -0.808 0.419 -0.102 -0.112
## .quality_2 0.243 0.079 3.056 0.002 0.243 0.324
## Awareness 1.732 0.366 4.733 0.000 1.000 1.000
## Loyalty 0.654 0.206 3.178 0.001 1.000 1.000
## Quality 1.017 0.224 4.549 0.000 1.000 1.000
##
##
## Group 2 [First Aid Beauty]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.319 0.963
## awareness_2 1.118 0.090 12.458 0.000 1.475 0.934
## awareness_3 0.969 0.118 8.227 0.000 1.279 0.815
## awrnss_4_rvrsd 0.791 0.109 7.257 0.000 1.044 0.772
## Loyalty =~
## loyalty_1 1.000 0.638 0.766
## loyalty_2 1.063 0.243 4.383 0.000 0.679 0.702
## loyalty_3 1.085 0.215 5.060 0.000 0.693 0.841
## Quality =~
## quality_1 1.000 0.621 0.900
## quality_2 1.314 0.222 5.920 0.000 0.816 0.883
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.531 0.180 2.954 0.003 0.630 0.630
## Quality 0.467 0.158 2.955 0.003 0.570 0.570
## Loyalty ~~
## Quality 0.256 0.089 2.870 0.004 0.647 0.647
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.488 0.209 11.908 0.000 2.488 1.816
## .awareness_2 2.791 0.241 11.595 0.000 2.791 1.768
## .awareness_3 2.651 0.239 11.085 0.000 2.651 1.690
## .awrnss_4_rvrsd 2.721 0.206 13.193 0.000 2.721 2.012
## .loyalty_1 1.837 0.127 14.457 0.000 1.837 2.205
## .loyalty_2 2.256 0.147 15.302 0.000 2.256 2.333
## .loyalty_3 2.140 0.126 17.036 0.000 2.140 2.598
## .quality_1 3.419 0.105 32.495 0.000 3.419 4.955
## .quality_2 3.512 0.141 24.911 0.000 3.512 3.799
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.137 0.073 1.879 0.060 0.137 0.073
## .awareness_2 0.316 0.109 2.899 0.004 0.316 0.127
## .awareness_3 0.825 0.195 4.225 0.000 0.825 0.335
## .awrnss_4_rvrsd 0.740 0.171 4.336 0.000 0.740 0.404
## .loyalty_1 0.287 0.084 3.397 0.001 0.287 0.413
## .loyalty_2 0.474 0.124 3.815 0.000 0.474 0.507
## .loyalty_3 0.198 0.077 2.574 0.010 0.198 0.292
## .quality_1 0.090 0.055 1.629 0.103 0.090 0.189
## .quality_2 0.189 0.098 1.922 0.055 0.189 0.221
## Awareness 1.741 0.409 4.253 0.000 1.000 1.000
## Loyalty 0.408 0.148 2.754 0.006 1.000 1.000
## Quality 0.386 0.113 3.404 0.001 1.000 1.000
##
##
## Group 3 [Shiseido]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.323 0.926
## awareness_2 1.142 0.101 11.360 0.000 1.511 0.957
## awareness_3 0.762 0.108 7.034 0.000 1.009 0.756
## awrnss_4_rvrsd 0.527 0.135 3.900 0.000 0.698 0.508
## Loyalty =~
## loyalty_1 1.000 0.775 0.850
## loyalty_2 1.139 0.146 7.778 0.000 0.882 0.924
## loyalty_3 0.886 0.128 6.916 0.000 0.687 0.818
## Quality =~
## quality_1 1.000 0.778 1.038
## quality_2 0.691 0.169 4.088 0.000 0.537 0.723
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.256 0.164 1.563 0.118 0.250 0.250
## Quality 0.520 0.166 3.135 0.002 0.506 0.506
## Loyalty ~~
## Quality 0.203 0.093 2.177 0.029 0.336 0.336
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.857 0.204 14.000 0.000 2.857 2.000
## .awareness_2 3.000 0.225 13.309 0.000 3.000 1.901
## .awareness_3 2.184 0.191 11.449 0.000 2.184 1.636
## .awrnss_4_rvrsd 2.694 0.196 13.731 0.000 2.694 1.962
## .loyalty_1 1.837 0.130 14.108 0.000 1.837 2.015
## .loyalty_2 2.163 0.136 15.856 0.000 2.163 2.265
## .loyalty_3 1.898 0.120 15.836 0.000 1.898 2.262
## .quality_1 3.735 0.107 34.865 0.000 3.735 4.981
## .quality_2 3.653 0.106 34.384 0.000 3.653 4.912
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.290 0.110 2.637 0.008 0.290 0.142
## .awareness_2 0.208 0.128 1.628 0.103 0.208 0.083
## .awareness_3 0.765 0.167 4.578 0.000 0.765 0.429
## .awrnss_4_rvrsd 1.399 0.288 4.858 0.000 1.399 0.742
## .loyalty_1 0.231 0.067 3.425 0.001 0.231 0.278
## .loyalty_2 0.134 0.068 1.966 0.049 0.134 0.147
## .loyalty_3 0.232 0.061 3.829 0.000 0.232 0.330
## .quality_1 -0.043 0.123 -0.350 0.726 -0.043 -0.077
## .quality_2 0.264 0.079 3.331 0.001 0.264 0.478
## Awareness 1.751 0.419 4.182 0.000 1.000 1.000
## Loyalty 0.600 0.168 3.563 0.000 1.000 1.000
## Quality 0.605 0.167 3.621 0.000 1.000 1.000
##
##
## Group 4 [MATTER OF FACT]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.024 0.967
## awareness_2 0.960 0.066 14.534 0.000 0.983 0.930
## awareness_3 0.938 0.055 17.197 0.000 0.960 0.960
## awrnss_4_rvrsd 0.612 0.174 3.528 0.000 0.627 0.452
## Loyalty =~
## loyalty_1 1.000 0.825 0.882
## loyalty_2 0.954 0.128 7.462 0.000 0.787 0.829
## loyalty_3 0.835 0.140 5.974 0.000 0.689 0.719
## Quality =~
## quality_1 1.000 0.532 0.804
## quality_2 1.198 0.230 5.207 0.000 0.637 0.954
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.726 0.170 4.256 0.000 0.859 0.859
## Quality 0.291 0.102 2.846 0.004 0.535 0.535
## Loyalty ~~
## Quality 0.270 0.091 2.961 0.003 0.614 0.614
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.765 0.148 11.902 0.000 1.765 1.667
## .awareness_2 1.686 0.148 11.393 0.000 1.686 1.595
## .awareness_3 1.686 0.140 12.045 0.000 1.686 1.687
## .awrnss_4_rvrsd 2.412 0.194 12.403 0.000 2.412 1.737
## .loyalty_1 1.706 0.131 13.029 0.000 1.706 1.824
## .loyalty_2 2.039 0.133 15.347 0.000 2.039 2.149
## .loyalty_3 1.941 0.134 14.468 0.000 1.941 2.026
## .quality_1 3.412 0.093 36.803 0.000 3.412 5.153
## .quality_2 3.510 0.094 37.533 0.000 3.510 5.256
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.073 0.027 2.733 0.006 0.073 0.065
## .awareness_2 0.151 0.037 4.055 0.000 0.151 0.135
## .awareness_3 0.078 0.025 3.096 0.002 0.078 0.078
## .awrnss_4_rvrsd 1.535 0.306 5.012 0.000 1.535 0.796
## .loyalty_1 0.193 0.062 3.104 0.002 0.193 0.221
## .loyalty_2 0.281 0.073 3.846 0.000 0.281 0.312
## .loyalty_3 0.444 0.099 4.484 0.000 0.444 0.483
## .quality_1 0.155 0.054 2.849 0.004 0.155 0.354
## .quality_2 0.040 0.065 0.610 0.542 0.040 0.089
## Awareness 1.048 0.223 4.707 0.000 1.000 1.000
## Loyalty 0.681 0.176 3.871 0.000 1.000 1.000
## Quality 0.283 0.093 3.050 0.002 1.000 1.000
##
##
## Group 5 [Kate Somerville]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.058 0.926
## awareness_2 1.220 0.149 8.178 0.000 1.291 0.842
## awareness_3 0.787 0.094 8.342 0.000 0.832 0.850
## awrnss_4_rvrsd 0.583 0.170 3.421 0.001 0.617 0.468
## Loyalty =~
## loyalty_1 1.000 0.577 0.757
## loyalty_2 1.218 0.250 4.862 0.000 0.703 0.827
## loyalty_3 1.077 0.242 4.455 0.000 0.622 0.706
## Quality =~
## quality_1 1.000 0.687 0.987
## quality_2 0.840 0.169 4.957 0.000 0.576 0.783
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.352 0.124 2.847 0.004 0.577 0.577
## Quality 0.437 0.129 3.386 0.001 0.602 0.602
## Loyalty ~~
## Quality 0.104 0.067 1.554 0.120 0.264 0.264
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.833 0.165 11.116 0.000 1.833 1.605
## .awareness_2 2.250 0.221 10.160 0.000 2.250 1.466
## .awareness_3 1.521 0.141 10.766 0.000 1.521 1.554
## .awrnss_4_rvrsd 2.188 0.190 11.504 0.000 2.188 1.660
## .loyalty_1 1.542 0.110 14.006 0.000 1.542 2.022
## .loyalty_2 1.833 0.123 14.946 0.000 1.833 2.157
## .loyalty_3 1.812 0.127 14.243 0.000 1.812 2.056
## .quality_1 3.375 0.100 33.597 0.000 3.375 4.849
## .quality_2 3.500 0.106 32.947 0.000 3.500 4.756
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.186 0.079 2.364 0.018 0.186 0.143
## .awareness_2 0.687 0.179 3.830 0.000 0.687 0.292
## .awareness_3 0.265 0.071 3.738 0.000 0.265 0.277
## .awrnss_4_rvrsd 1.355 0.283 4.787 0.000 1.355 0.781
## .loyalty_1 0.248 0.073 3.414 0.001 0.248 0.427
## .loyalty_2 0.228 0.088 2.588 0.010 0.228 0.316
## .loyalty_3 0.390 0.102 3.840 0.000 0.390 0.502
## .quality_1 0.013 0.078 0.166 0.868 0.013 0.027
## .quality_2 0.209 0.070 3.006 0.003 0.209 0.386
## Awareness 1.119 0.273 4.106 0.000 1.000 1.000
## Loyalty 0.333 0.119 2.794 0.005 1.000 1.000
## Quality 0.471 0.126 3.745 0.000 1.000 1.000
##
##
## Group 6 [Drunk Elephant]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.522 0.984
## awareness_2 0.954 0.088 10.805 0.000 1.452 0.852
## awareness_3 0.907 0.053 17.259 0.000 1.380 0.948
## awrnss_4_rvrsd 0.867 0.085 10.259 0.000 1.320 0.838
## Loyalty =~
## loyalty_1 1.000 0.748 0.784
## loyalty_2 1.208 0.207 5.837 0.000 0.904 0.853
## loyalty_3 1.099 0.197 5.570 0.000 0.822 0.789
## Quality =~
## quality_1 1.000 0.826 0.902
## quality_2 1.086 0.164 6.618 0.000 0.897 0.960
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.532 0.199 2.673 0.008 0.467 0.467
## Quality 0.600 0.213 2.821 0.005 0.477 0.477
## Loyalty ~~
## Quality 0.265 0.111 2.380 0.017 0.429 0.429
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.392 0.217 11.038 0.000 2.392 1.546
## .awareness_2 2.608 0.239 10.927 0.000 2.608 1.530
## .awareness_3 2.196 0.204 10.775 0.000 2.196 1.509
## .awrnss_4_rvrsd 2.549 0.221 11.552 0.000 2.549 1.618
## .loyalty_1 1.569 0.134 11.730 0.000 1.569 1.643
## .loyalty_2 2.118 0.148 14.268 0.000 2.118 1.998
## .loyalty_3 1.824 0.146 12.493 0.000 1.824 1.749
## .quality_1 3.490 0.128 27.225 0.000 3.490 3.812
## .quality_2 3.569 0.131 27.280 0.000 3.569 3.820
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.078 0.057 1.363 0.173 0.078 0.032
## .awareness_2 0.796 0.170 4.695 0.000 0.796 0.274
## .awareness_3 0.214 0.063 3.414 0.001 0.214 0.101
## .awrnss_4_rvrsd 0.740 0.156 4.739 0.000 0.740 0.298
## .loyalty_1 0.352 0.097 3.640 0.000 0.352 0.386
## .loyalty_2 0.306 0.113 2.720 0.007 0.306 0.273
## .loyalty_3 0.411 0.115 3.585 0.000 0.411 0.378
## .quality_1 0.156 0.094 1.650 0.099 0.156 0.186
## .quality_2 0.068 0.106 0.646 0.518 0.068 0.078
## Awareness 2.318 0.477 4.857 0.000 1.000 1.000
## Loyalty 0.560 0.180 3.118 0.002 1.000 1.000
## Quality 0.682 0.186 3.672 0.000 1.000 1.000
##
##
## Group 7 [Origins]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.258 0.946
## awareness_2 1.033 0.090 11.484 0.000 1.300 0.913
## awareness_3 0.847 0.083 10.214 0.000 1.065 0.875
## awrnss_4_rvrsd 0.677 0.115 5.875 0.000 0.852 0.667
## Loyalty =~
## loyalty_1 1.000 0.847 1.007
## loyalty_2 0.719 0.123 5.846 0.000 0.608 0.693
## loyalty_3 0.871 0.120 7.262 0.000 0.737 0.800
## Quality =~
## quality_1 1.000 0.736 1.005
## quality_2 0.846 0.221 3.828 0.000 0.622 0.794
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.468 0.167 2.806 0.005 0.439 0.439
## Quality 0.373 0.143 2.604 0.009 0.403 0.403
## Loyalty ~~
## Quality 0.167 0.089 1.869 0.062 0.268 0.268
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.608 0.186 14.008 0.000 2.608 1.961
## .awareness_2 2.667 0.199 13.379 0.000 2.667 1.873
## .awareness_3 2.353 0.171 13.797 0.000 2.353 1.932
## .awrnss_4_rvrsd 2.667 0.179 14.898 0.000 2.667 2.086
## .loyalty_1 1.863 0.118 15.825 0.000 1.863 2.216
## .loyalty_2 2.333 0.123 18.974 0.000 2.333 2.657
## .loyalty_3 2.118 0.129 16.414 0.000 2.118 2.298
## .quality_1 3.667 0.103 35.768 0.000 3.667 5.009
## .quality_2 3.667 0.110 33.407 0.000 3.667 4.678
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.185 0.076 2.442 0.015 0.185 0.105
## .awareness_2 0.337 0.099 3.418 0.001 0.337 0.166
## .awareness_3 0.348 0.086 4.052 0.000 0.348 0.235
## .awrnss_4_rvrsd 0.908 0.188 4.821 0.000 0.908 0.556
## .loyalty_1 -0.010 0.065 -0.158 0.875 -0.010 -0.014
## .loyalty_2 0.401 0.086 4.666 0.000 0.401 0.520
## .loyalty_3 0.305 0.078 3.929 0.000 0.305 0.359
## .quality_1 -0.005 0.129 -0.039 0.969 -0.005 -0.009
## .quality_2 0.227 0.103 2.217 0.027 0.227 0.370
## Awareness 1.583 0.354 4.466 0.000 1.000 1.000
## Loyalty 0.717 0.154 4.652 0.000 1.000 1.000
## Quality 0.541 0.167 3.240 0.001 1.000 1.000
##
##
## Group 8 [Sunday Riley]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.355 0.965
## awareness_2 1.107 0.062 17.808 0.000 1.500 0.969
## awareness_3 0.750 0.083 9.031 0.000 1.017 0.806
## awrnss_4_rvrsd 0.901 0.093 9.717 0.000 1.221 0.830
## Loyalty =~
## loyalty_1 1.000 0.833 0.897
## loyalty_2 0.991 0.123 8.085 0.000 0.825 0.858
## loyalty_3 0.854 0.115 7.399 0.000 0.711 0.811
## Quality =~
## quality_1 1.000 0.776 1.039
## quality_2 0.687 0.099 6.931 0.000 0.533 0.804
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.794 0.207 3.834 0.000 0.704 0.704
## Quality 0.671 0.171 3.916 0.000 0.638 0.638
## Loyalty ~~
## Quality 0.385 0.108 3.578 0.000 0.596 0.596
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.404 0.195 12.346 0.000 2.404 1.712
## .awareness_2 2.596 0.215 12.098 0.000 2.596 1.678
## .awareness_3 2.212 0.175 12.648 0.000 2.212 1.754
## .awrnss_4_rvrsd 2.577 0.204 12.623 0.000 2.577 1.750
## .loyalty_1 1.846 0.129 14.348 0.000 1.846 1.990
## .loyalty_2 2.192 0.133 16.441 0.000 2.192 2.280
## .loyalty_3 2.000 0.122 16.444 0.000 2.000 2.280
## .quality_1 3.500 0.104 33.797 0.000 3.500 4.687
## .quality_2 3.558 0.092 38.721 0.000 3.558 5.370
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.135 0.052 2.611 0.009 0.135 0.069
## .awareness_2 0.145 0.061 2.364 0.018 0.145 0.061
## .awareness_3 0.556 0.115 4.818 0.000 0.556 0.350
## .awrnss_4_rvrsd 0.676 0.142 4.764 0.000 0.676 0.312
## .loyalty_1 0.168 0.059 2.828 0.005 0.168 0.195
## .loyalty_2 0.244 0.069 3.527 0.000 0.244 0.264
## .loyalty_3 0.263 0.065 4.053 0.000 0.263 0.342
## .quality_1 -0.044 0.064 -0.695 0.487 -0.044 -0.079
## .quality_2 0.155 0.043 3.644 0.000 0.155 0.353
## Awareness 1.836 0.388 4.729 0.000 1.000 1.000
## Loyalty 0.693 0.173 4.012 0.000 1.000 1.000
## Quality 0.602 0.126 4.779 0.000 1.000 1.000
##
##
## Group 9 [Youth To The People]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.218 1.009
## awareness_2 0.948 0.071 13.444 0.000 1.155 0.882
## awareness_3 0.906 0.039 23.452 0.000 1.103 0.954
## awrnss_4_rvrsd 0.897 0.091 9.888 0.000 1.092 0.810
## Loyalty =~
## loyalty_1 1.000 0.640 0.825
## loyalty_2 0.929 0.194 4.793 0.000 0.595 0.708
## loyalty_3 0.816 0.168 4.853 0.000 0.522 0.718
## Quality =~
## quality_1 1.000 0.772 1.039
## quality_2 0.749 0.149 5.016 0.000 0.578 0.809
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.527 0.149 3.531 0.000 0.677 0.677
## Quality 0.440 0.141 3.118 0.002 0.468 0.468
## Loyalty ~~
## Quality 0.188 0.081 2.322 0.020 0.380 0.380
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.060 0.171 12.070 0.000 2.060 1.707
## .awareness_2 2.080 0.185 11.236 0.000 2.080 1.589
## .awareness_3 1.940 0.163 11.866 0.000 1.940 1.678
## .awrnss_4_rvrsd 2.320 0.191 12.168 0.000 2.320 1.721
## .loyalty_1 1.720 0.110 15.680 0.000 1.720 2.218
## .loyalty_2 1.880 0.119 15.826 0.000 1.880 2.238
## .loyalty_3 1.700 0.103 16.512 0.000 1.700 2.335
## .quality_1 3.260 0.105 31.015 0.000 3.260 4.386
## .quality_2 3.360 0.101 33.256 0.000 3.360 4.703
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 -0.026 0.020 -1.302 0.193 -0.026 -0.018
## .awareness_2 0.380 0.076 5.026 0.000 0.380 0.222
## .awareness_3 0.120 0.028 4.280 0.000 0.120 0.090
## .awrnss_4_rvrsd 0.625 0.123 5.101 0.000 0.625 0.344
## .loyalty_1 0.192 0.069 2.786 0.005 0.192 0.319
## .loyalty_2 0.352 0.089 3.949 0.000 0.352 0.499
## .loyalty_3 0.257 0.066 3.885 0.000 0.257 0.485
## .quality_1 -0.044 0.103 -0.421 0.674 -0.044 -0.079
## .quality_2 0.176 0.068 2.600 0.009 0.176 0.345
## Awareness 1.482 0.292 5.079 0.000 1.000 1.000
## Loyalty 0.410 0.128 3.212 0.001 1.000 1.000
## Quality 0.596 0.151 3.951 0.000 1.000 1.000
##
##
## Group 10 [IT Cosmetics]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.422 0.977
## awareness_2 0.992 0.064 15.524 0.000 1.411 0.938
## awareness_3 0.951 0.070 13.586 0.000 1.352 0.912
## awrnss_4_rvrsd 0.643 0.112 5.741 0.000 0.915 0.640
## Loyalty =~
## loyalty_1 1.000 0.813 0.958
## loyalty_2 0.978 0.105 9.345 0.000 0.795 0.876
## loyalty_3 0.834 0.106 7.860 0.000 0.678 0.801
## Quality =~
## quality_1 1.000 0.848 1.001
## quality_2 0.889 0.104 8.541 0.000 0.754 0.915
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.462 0.182 2.538 0.011 0.399 0.399
## Quality 0.624 0.193 3.240 0.001 0.517 0.517
## Loyalty ~~
## Quality 0.217 0.104 2.081 0.037 0.314 0.314
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 3.137 0.204 15.393 0.000 3.137 2.155
## .awareness_2 3.333 0.211 15.830 0.000 3.333 2.217
## .awareness_3 2.863 0.208 13.793 0.000 2.863 1.931
## .awrnss_4_rvrsd 3.392 0.200 16.951 0.000 3.392 2.374
## .loyalty_1 1.843 0.119 15.507 0.000 1.843 2.171
## .loyalty_2 2.000 0.127 15.739 0.000 2.000 2.204
## .loyalty_3 1.784 0.119 15.036 0.000 1.784 2.105
## .quality_1 3.549 0.119 29.907 0.000 3.549 4.188
## .quality_2 3.549 0.115 30.759 0.000 3.549 4.307
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.096 0.056 1.715 0.086 0.096 0.045
## .awareness_2 0.270 0.075 3.591 0.000 0.270 0.119
## .awareness_3 0.369 0.089 4.166 0.000 0.369 0.168
## .awrnss_4_rvrsd 1.206 0.244 4.946 0.000 1.206 0.590
## .loyalty_1 0.059 0.045 1.321 0.186 0.059 0.082
## .loyalty_2 0.191 0.056 3.393 0.001 0.191 0.232
## .loyalty_3 0.258 0.060 4.318 0.000 0.258 0.359
## .quality_1 -0.001 0.072 -0.018 0.986 -0.001 -0.002
## .quality_2 0.110 0.061 1.812 0.070 0.110 0.162
## Awareness 2.023 0.422 4.790 0.000 1.000 1.000
## Loyalty 0.661 0.149 4.450 0.000 1.000 1.000
## Quality 0.719 0.159 4.517 0.000 1.000 1.000
##
##
## Group 11 [MARA]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.742 0.916
## awareness_2 1.058 0.100 10.594 0.000 0.785 0.908
## awareness_3 1.094 0.086 12.739 0.000 0.811 0.966
## awrnss_4_rvrsd 0.536 0.251 2.139 0.032 0.398 0.303
## Loyalty =~
## loyalty_1 1.000 0.708 0.900
## loyalty_2 1.022 0.144 7.091 0.000 0.723 0.774
## loyalty_3 1.030 0.090 11.390 0.000 0.729 0.968
## Quality =~
## quality_1 1.000 0.820 1.136
## quality_2 0.628 0.206 3.053 0.002 0.515 0.736
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.456 0.111 4.112 0.000 0.868 0.868
## Quality 0.213 0.085 2.495 0.013 0.351 0.351
## Loyalty ~~
## Quality 0.187 0.080 2.321 0.020 0.322 0.322
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.604 0.117 13.724 0.000 1.604 1.981
## .awareness_2 1.562 0.125 12.533 0.000 1.562 1.809
## .awareness_3 1.562 0.121 12.898 0.000 1.562 1.862
## .awrnss_4_rvrsd 2.062 0.190 10.879 0.000 2.062 1.570
## .loyalty_1 1.583 0.113 13.953 0.000 1.583 2.014
## .loyalty_2 1.854 0.135 13.736 0.000 1.854 1.983
## .loyalty_3 1.625 0.109 14.942 0.000 1.625 2.157
## .quality_1 3.250 0.104 31.200 0.000 3.250 4.503
## .quality_2 3.396 0.101 33.639 0.000 3.396 4.855
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.106 0.028 3.807 0.000 0.106 0.161
## .awareness_2 0.130 0.033 3.922 0.000 0.130 0.175
## .awareness_3 0.047 0.022 2.163 0.031 0.047 0.066
## .awrnss_4_rvrsd 1.567 0.321 4.881 0.000 1.567 0.908
## .loyalty_1 0.117 0.032 3.656 0.000 0.117 0.190
## .loyalty_2 0.351 0.077 4.547 0.000 0.351 0.402
## .loyalty_3 0.036 0.023 1.569 0.117 0.036 0.063
## .quality_1 -0.151 0.204 -0.741 0.459 -0.151 -0.291
## .quality_2 0.224 0.092 2.444 0.015 0.224 0.459
## Awareness 0.550 0.133 4.128 0.000 1.000 1.000
## Loyalty 0.501 0.126 3.985 0.000 1.000 1.000
## Quality 0.672 0.226 2.971 0.003 1.000 1.000
##
##
## Group 12 [Peter Thomas Roth]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.268 0.964
## awareness_2 1.096 0.063 17.469 0.000 1.389 0.969
## awareness_3 0.937 0.059 15.930 0.000 1.187 0.954
## awrnss_4_rvrsd 0.684 0.133 5.150 0.000 0.867 0.614
## Loyalty =~
## loyalty_1 1.000 0.780 0.959
## loyalty_2 1.041 0.152 6.845 0.000 0.813 0.797
## loyalty_3 0.685 0.121 5.676 0.000 0.535 0.702
## Quality =~
## quality_1 1.000 0.840 0.943
## quality_2 1.034 0.190 5.449 0.000 0.869 0.922
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.614 0.178 3.456 0.001 0.620 0.620
## Quality 0.383 0.175 2.188 0.029 0.360 0.360
## Loyalty ~~
## Quality 0.282 0.113 2.499 0.012 0.430 0.430
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.128 0.192 11.095 0.000 2.128 1.618
## .awareness_2 2.170 0.209 10.376 0.000 2.170 1.513
## .awareness_3 1.936 0.182 10.665 0.000 1.936 1.556
## .awrnss_4_rvrsd 2.426 0.206 11.790 0.000 2.426 1.720
## .loyalty_1 1.617 0.119 13.627 0.000 1.617 1.988
## .loyalty_2 1.936 0.149 13.025 0.000 1.936 1.900
## .loyalty_3 1.809 0.111 16.275 0.000 1.809 2.374
## .quality_1 3.404 0.130 26.191 0.000 3.404 3.820
## .quality_2 3.511 0.137 25.538 0.000 3.511 3.725
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.121 0.040 3.051 0.002 0.121 0.070
## .awareness_2 0.127 0.045 2.810 0.005 0.127 0.062
## .awareness_3 0.140 0.040 3.511 0.000 0.140 0.090
## .awrnss_4_rvrsd 1.238 0.259 4.773 0.000 1.238 0.622
## .loyalty_1 0.053 0.056 0.954 0.340 0.053 0.080
## .loyalty_2 0.378 0.099 3.808 0.000 0.378 0.364
## .loyalty_3 0.294 0.067 4.379 0.000 0.294 0.507
## .quality_1 0.088 0.119 0.743 0.457 0.088 0.111
## .quality_2 0.134 0.129 1.038 0.299 0.134 0.150
## Awareness 1.607 0.357 4.502 0.000 1.000 1.000
## Loyalty 0.609 0.147 4.153 0.000 1.000 1.000
## Quality 0.706 0.201 3.515 0.000 1.000 1.000
##
##
## Group 13 [Naturally Serious]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.778 0.829
## awareness_2 1.052 0.130 8.085 0.000 0.819 0.911
## awareness_3 1.127 0.128 8.806 0.000 0.877 0.976
## awrnss_4_rvrsd 0.712 0.217 3.286 0.001 0.555 0.468
## Loyalty =~
## loyalty_1 1.000 0.698 0.956
## loyalty_2 1.124 0.091 12.394 0.000 0.784 0.932
## loyalty_3 1.089 0.094 11.579 0.000 0.760 0.913
## Quality =~
## quality_1 1.000 0.313 0.500
## quality_2 2.314 2.433 0.951 0.342 0.724 1.452
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.256 0.097 2.649 0.008 0.471 0.471
## Quality 0.055 0.075 0.741 0.458 0.227 0.227
## Loyalty ~~
## Quality 0.025 0.038 0.661 0.509 0.115 0.115
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.689 0.140 12.070 0.000 1.689 1.799
## .awareness_2 1.644 0.134 12.280 0.000 1.644 1.831
## .awareness_3 1.644 0.134 12.280 0.000 1.644 1.831
## .awrnss_4_rvrsd 1.867 0.177 10.566 0.000 1.867 1.575
## .loyalty_1 1.667 0.109 15.309 0.000 1.667 2.282
## .loyalty_2 1.844 0.126 14.693 0.000 1.844 2.190
## .loyalty_3 1.800 0.124 14.501 0.000 1.800 2.162
## .quality_1 3.089 0.093 33.091 0.000 3.089 4.933
## .quality_2 3.200 0.074 43.028 0.000 3.200 6.414
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.275 0.065 4.231 0.000 0.275 0.312
## .awareness_2 0.137 0.042 3.248 0.001 0.137 0.169
## .awareness_3 0.038 0.036 1.057 0.291 0.038 0.047
## .awrnss_4_rvrsd 1.097 0.234 4.694 0.000 1.097 0.781
## .loyalty_1 0.046 0.020 2.264 0.024 0.046 0.086
## .loyalty_2 0.094 0.030 3.120 0.002 0.094 0.132
## .loyalty_3 0.115 0.032 3.556 0.000 0.115 0.166
## .quality_1 0.294 0.117 2.524 0.012 0.294 0.750
## .quality_2 -0.276 0.532 -0.518 0.604 -0.276 -1.108
## Awareness 0.606 0.179 3.387 0.001 1.000 1.000
## Loyalty 0.487 0.113 4.297 0.000 1.000 1.000
## Quality 0.098 0.113 0.868 0.385 1.000 1.000
##
##
## Group 14 [Biossance]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.986 0.962
## awareness_2 1.157 0.118 9.769 0.000 1.141 0.875
## awareness_3 0.908 0.098 9.301 0.000 0.896 0.858
## awrnss_4_rvrsd 0.691 0.187 3.698 0.000 0.681 0.492
## Loyalty =~
## loyalty_1 1.000 0.761 0.795
## loyalty_2 1.095 0.183 5.976 0.000 0.834 0.907
## loyalty_3 0.822 0.155 5.298 0.000 0.626 0.744
## Quality =~
## quality_1 1.000 0.760 0.930
## quality_2 0.993 0.141 7.052 0.000 0.754 0.921
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.246 0.128 1.917 0.055 0.328 0.328
## Quality 0.399 0.134 2.990 0.003 0.533 0.533
## Loyalty ~~
## Quality 0.265 0.107 2.470 0.014 0.459 0.459
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.723 0.150 11.524 0.000 1.723 1.681
## .awareness_2 1.851 0.190 9.729 0.000 1.851 1.419
## .awareness_3 1.596 0.152 10.469 0.000 1.596 1.527
## .awrnss_4_rvrsd 2.149 0.202 10.649 0.000 2.149 1.553
## .loyalty_1 1.617 0.140 11.576 0.000 1.617 1.688
## .loyalty_2 1.915 0.134 14.291 0.000 1.915 2.085
## .loyalty_3 1.809 0.123 14.735 0.000 1.809 2.149
## .quality_1 3.404 0.119 28.590 0.000 3.404 4.170
## .quality_2 3.426 0.119 28.691 0.000 3.426 4.185
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.078 0.053 1.488 0.137 0.078 0.074
## .awareness_2 0.400 0.108 3.708 0.000 0.400 0.235
## .awareness_3 0.289 0.074 3.918 0.000 0.289 0.265
## .awrnss_4_rvrsd 1.450 0.304 4.764 0.000 1.450 0.758
## .loyalty_1 0.338 0.098 3.464 0.001 0.338 0.369
## .loyalty_2 0.149 0.086 1.738 0.082 0.149 0.177
## .loyalty_3 0.317 0.081 3.925 0.000 0.317 0.447
## .quality_1 0.090 0.070 1.283 0.199 0.090 0.134
## .quality_2 0.101 0.070 1.460 0.144 0.101 0.151
## Awareness 0.973 0.222 4.384 0.000 1.000 1.000
## Loyalty 0.579 0.189 3.069 0.002 1.000 1.000
## Quality 0.577 0.152 3.797 0.000 1.000 1.000
##
##
## Group 15 [Moon Juice]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.969 0.948
## awareness_2 0.901 0.069 12.974 0.000 0.873 0.919
## awareness_3 0.997 0.059 16.768 0.000 0.967 0.977
## awrnss_4_rvrsd 0.518 0.156 3.331 0.001 0.502 0.429
## Loyalty =~
## loyalty_1 1.000 0.638 0.827
## loyalty_2 1.120 0.160 7.000 0.000 0.714 0.843
## loyalty_3 1.137 0.154 7.391 0.000 0.726 0.889
## Quality =~
## quality_1 1.000 0.494 0.720
## quality_2 1.457 1.110 1.313 0.189 0.720 0.940
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.410 0.116 3.545 0.000 0.664 0.664
## Quality 0.074 0.087 0.850 0.395 0.155 0.155
## Loyalty ~~
## Quality 0.060 0.064 0.938 0.348 0.190 0.190
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.615 0.142 11.398 0.000 1.615 1.581
## .awareness_2 1.538 0.132 11.679 0.000 1.538 1.620
## .awareness_3 1.538 0.137 11.211 0.000 1.538 1.555
## .awrnss_4_rvrsd 1.827 0.163 11.239 0.000 1.827 1.559
## .loyalty_1 1.519 0.107 14.193 0.000 1.519 1.968
## .loyalty_2 1.885 0.117 16.045 0.000 1.885 2.225
## .loyalty_3 1.712 0.113 15.115 0.000 1.712 2.096
## .quality_1 3.096 0.095 32.514 0.000 3.096 4.509
## .quality_2 3.096 0.106 29.143 0.000 3.096 4.041
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.105 0.031 3.423 0.001 0.105 0.101
## .awareness_2 0.140 0.033 4.191 0.000 0.140 0.155
## .awareness_3 0.045 0.024 1.870 0.062 0.045 0.046
## .awrnss_4_rvrsd 1.121 0.221 5.067 0.000 1.121 0.816
## .loyalty_1 0.189 0.050 3.798 0.000 0.189 0.317
## .loyalty_2 0.207 0.058 3.592 0.000 0.207 0.289
## .loyalty_3 0.140 0.049 2.849 0.004 0.140 0.211
## .quality_1 0.227 0.189 1.204 0.229 0.227 0.482
## .quality_2 0.068 0.389 0.175 0.861 0.068 0.116
## Awareness 0.939 0.205 4.580 0.000 1.000 1.000
## Loyalty 0.407 0.116 3.519 0.000 1.000 1.000
## Quality 0.244 0.200 1.220 0.223 1.000 1.000
##
##
## Group 16 [fresh]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.238 0.961
## awareness_2 1.012 0.074 13.707 0.000 1.254 0.922
## awareness_3 0.987 0.060 16.385 0.000 1.222 0.960
## awrnss_4_rvrsd 0.403 0.148 2.717 0.007 0.500 0.357
## Loyalty =~
## loyalty_1 1.000 0.886 0.867
## loyalty_2 0.913 0.111 8.185 0.000 0.808 0.854
## loyalty_3 1.023 0.110 9.335 0.000 0.906 0.936
## Quality =~
## quality_1 1.000 0.571 0.727
## quality_2 1.625 0.503 3.231 0.001 0.928 1.186
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.541 0.181 2.985 0.003 0.493 0.493
## Quality 0.043 0.078 0.558 0.577 0.061 0.061
## Loyalty ~~
## Quality 0.172 0.100 1.729 0.084 0.341 0.341
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.132 0.177 12.041 0.000 2.132 1.654
## .awareness_2 2.132 0.187 11.410 0.000 2.132 1.567
## .awareness_3 1.962 0.175 11.220 0.000 1.962 1.541
## .awrnss_4_rvrsd 2.340 0.192 12.166 0.000 2.340 1.671
## .loyalty_1 1.887 0.140 13.445 0.000 1.887 1.847
## .loyalty_2 2.170 0.130 16.691 0.000 2.170 2.293
## .loyalty_3 2.075 0.133 15.604 0.000 2.075 2.143
## .quality_1 3.396 0.108 31.488 0.000 3.396 4.325
## .quality_2 3.377 0.107 31.422 0.000 3.377 4.316
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.128 0.047 2.754 0.006 0.128 0.077
## .awareness_2 0.278 0.068 4.099 0.000 0.278 0.150
## .awareness_3 0.129 0.046 2.813 0.005 0.129 0.079
## .awrnss_4_rvrsd 1.710 0.334 5.122 0.000 1.710 0.873
## .loyalty_1 0.259 0.069 3.777 0.000 0.259 0.248
## .loyalty_2 0.242 0.061 3.954 0.000 0.242 0.270
## .loyalty_3 0.117 0.052 2.243 0.025 0.117 0.125
## .quality_1 0.291 0.108 2.693 0.007 0.291 0.471
## .quality_2 -0.248 0.248 -1.004 0.316 -0.248 -0.406
## Awareness 1.534 0.324 4.730 0.000 1.000 1.000
## Loyalty 0.785 0.202 3.888 0.000 1.000 1.000
## Quality 0.326 0.140 2.328 0.020 1.000 1.000
##
##
## Group 17 [Paula's Choice]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.403 0.994
## awareness_2 0.945 0.080 11.819 0.000 1.325 0.871
## awareness_3 0.956 0.053 18.183 0.000 1.341 0.945
## awrnss_4_rvrsd 0.900 0.075 12.065 0.000 1.263 0.876
## Loyalty =~
## loyalty_1 1.000 1.010 0.922
## loyalty_2 0.922 0.098 9.433 0.000 0.931 0.897
## loyalty_3 0.774 0.108 7.180 0.000 0.782 0.782
## Quality =~
## quality_1 1.000 0.801 0.935
## quality_2 0.946 0.165 5.730 0.000 0.758 0.907
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 1.150 0.277 4.149 0.000 0.811 0.811
## Quality 0.555 0.192 2.892 0.004 0.494 0.494
## Loyalty ~~
## Quality 0.359 0.141 2.552 0.011 0.443 0.443
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.417 0.204 11.860 0.000 2.417 1.712
## .awareness_2 2.646 0.219 12.055 0.000 2.646 1.740
## .awareness_3 2.333 0.205 11.391 0.000 2.333 1.644
## .awrnss_4_rvrsd 2.438 0.208 11.711 0.000 2.438 1.690
## .loyalty_1 1.917 0.158 12.115 0.000 1.917 1.749
## .loyalty_2 2.083 0.150 13.912 0.000 2.083 2.008
## .loyalty_3 2.042 0.144 14.157 0.000 2.042 2.043
## .quality_1 3.625 0.124 29.307 0.000 3.625 4.230
## .quality_2 3.729 0.121 30.936 0.000 3.729 4.465
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.025 0.034 0.723 0.469 0.025 0.012
## .awareness_2 0.556 0.119 4.655 0.000 0.556 0.241
## .awareness_3 0.214 0.054 3.939 0.000 0.214 0.106
## .awrnss_4_rvrsd 0.484 0.104 4.640 0.000 0.484 0.233
## .loyalty_1 0.181 0.069 2.625 0.009 0.181 0.151
## .loyalty_2 0.210 0.066 3.168 0.002 0.210 0.195
## .loyalty_3 0.387 0.090 4.291 0.000 0.387 0.388
## .quality_1 0.093 0.100 0.924 0.355 0.093 0.126
## .quality_2 0.124 0.092 1.349 0.177 0.124 0.177
## Awareness 1.968 0.408 4.822 0.000 1.000 1.000
## Loyalty 1.020 0.249 4.092 0.000 1.000 1.000
## Quality 0.642 0.178 3.596 0.000 1.000 1.000
##
##
## Group 18 [The Outset]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.770 0.917
## awareness_2 1.134 0.090 12.666 0.000 0.874 0.960
## awareness_3 1.078 0.085 12.656 0.000 0.831 0.959
## awrnss_4_rvrsd 0.237 0.290 0.820 0.413 0.183 0.120
## Loyalty =~
## loyalty_1 1.000 0.363 0.783
## loyalty_2 1.500 0.228 6.581 0.000 0.544 0.845
## loyalty_3 1.382 0.194 7.140 0.000 0.502 0.965
## Quality =~
## quality_1 1.000 0.957 1.105
## quality_2 0.842 0.152 5.557 0.000 0.806 0.862
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.130 0.050 2.634 0.008 0.466 0.466
## Quality 0.244 0.105 2.322 0.020 0.331 0.331
## Loyalty ~~
## Quality 0.054 0.043 1.257 0.209 0.157 0.157
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.542 0.121 12.707 0.000 1.542 1.834
## .awareness_2 1.562 0.131 11.886 0.000 1.562 1.716
## .awareness_3 1.521 0.125 12.170 0.000 1.521 1.757
## .awrnss_4_rvrsd 2.312 0.221 10.474 0.000 2.312 1.512
## .loyalty_1 1.312 0.067 19.618 0.000 1.312 2.832
## .loyalty_2 1.458 0.093 15.685 0.000 1.458 2.264
## .loyalty_3 1.354 0.075 18.042 0.000 1.354 2.604
## .quality_1 3.000 0.125 24.000 0.000 3.000 3.464
## .quality_2 3.042 0.135 22.551 0.000 3.042 3.255
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.113 0.029 3.946 0.000 0.113 0.160
## .awareness_2 0.066 0.025 2.610 0.009 0.066 0.079
## .awareness_3 0.060 0.023 2.622 0.009 0.060 0.080
## .awrnss_4_rvrsd 2.306 0.471 4.897 0.000 2.306 0.986
## .loyalty_1 0.083 0.020 4.194 0.000 0.083 0.387
## .loyalty_2 0.119 0.033 3.585 0.000 0.119 0.286
## .loyalty_3 0.019 0.019 0.970 0.332 0.019 0.069
## .quality_1 -0.165 0.156 -1.061 0.289 -0.165 -0.221
## .quality_2 0.224 0.117 1.912 0.056 0.224 0.257
## Awareness 0.594 0.143 4.140 0.000 1.000 1.000
## Loyalty 0.132 0.042 3.156 0.002 1.000 1.000
## Quality 0.915 0.213 4.293 0.000 1.000 1.000
##
##
## Group 19 [iNNBEAUTY PROJECT]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.811 0.923
## awareness_2 1.034 0.097 10.689 0.000 0.839 0.929
## awareness_3 0.830 0.093 8.953 0.000 0.673 0.857
## awrnss_4_rvrsd 0.664 0.214 3.109 0.002 0.539 0.424
## Loyalty =~
## loyalty_1 1.000 0.715 0.952
## loyalty_2 0.794 0.156 5.086 0.000 0.567 0.647
## loyalty_3 0.889 0.124 7.175 0.000 0.635 0.834
## Quality =~
## quality_1 1.000 0.933 1.131
## quality_2 0.553 0.339 1.630 0.103 0.516 0.689
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.348 0.104 3.346 0.001 0.600 0.600
## Quality 0.157 0.101 1.551 0.121 0.207 0.207
## Loyalty ~~
## Quality 0.129 0.089 1.460 0.144 0.194 0.194
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.592 0.126 12.681 0.000 1.592 1.812
## .awareness_2 1.571 0.129 12.175 0.000 1.571 1.739
## .awareness_3 1.490 0.112 13.274 0.000 1.490 1.896
## .awrnss_4_rvrsd 1.980 0.181 10.915 0.000 1.980 1.559
## .loyalty_1 1.612 0.107 15.028 0.000 1.612 2.147
## .loyalty_2 1.918 0.125 15.315 0.000 1.918 2.188
## .loyalty_3 1.694 0.109 15.572 0.000 1.694 2.225
## .quality_1 3.184 0.118 27.015 0.000 3.184 3.859
## .quality_2 3.265 0.107 30.483 0.000 3.265 4.355
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.114 0.040 2.851 0.004 0.114 0.148
## .awareness_2 0.113 0.042 2.696 0.007 0.113 0.138
## .awareness_3 0.164 0.041 4.014 0.000 0.164 0.266
## .awrnss_4_rvrsd 1.322 0.271 4.879 0.000 1.322 0.820
## .loyalty_1 0.053 0.050 1.066 0.287 0.053 0.094
## .loyalty_2 0.447 0.097 4.598 0.000 0.447 0.582
## .loyalty_3 0.176 0.053 3.327 0.001 0.176 0.304
## .quality_1 -0.191 0.519 -0.367 0.714 -0.191 -0.280
## .quality_2 0.296 0.169 1.746 0.081 0.296 0.526
## Awareness 0.658 0.158 4.170 0.000 1.000 1.000
## Loyalty 0.511 0.123 4.136 0.000 1.000 1.000
## Quality 0.871 0.534 1.630 0.103 1.000 1.000
##
##
## Group 20 [CLINIQUE]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.442 0.937
## awareness_2 0.646 0.149 4.348 0.000 0.285 0.659
## awareness_3 1.234 0.298 4.135 0.000 0.545 0.624
## awrnss_4_rvrsd 1.048 0.331 3.163 0.002 0.463 0.476
## Loyalty =~
## loyalty_1 1.000 1.112 0.909
## loyalty_2 0.804 0.113 7.132 0.000 0.894 0.808
## loyalty_3 0.858 0.108 7.980 0.000 0.954 0.874
## Quality =~
## quality_1 1.000 0.630 0.946
## quality_2 1.018 0.115 8.867 0.000 0.641 0.981
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.144 0.082 1.763 0.078 0.294 0.294
## Quality 0.091 0.046 1.983 0.047 0.326 0.326
## Loyalty ~~
## Quality 0.342 0.123 2.770 0.006 0.488 0.488
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 4.667 0.068 68.586 0.000 4.667 9.900
## .awareness_2 4.750 0.062 76.000 0.000 4.750 10.970
## .awareness_3 4.333 0.126 34.350 0.000 4.333 4.958
## .awrnss_4_rvrsd 4.396 0.140 31.288 0.000 4.396 4.516
## .loyalty_1 2.562 0.177 14.514 0.000 2.562 2.095
## .loyalty_2 2.833 0.160 17.756 0.000 2.833 2.563
## .loyalty_3 2.375 0.158 15.067 0.000 2.375 2.175
## .quality_1 4.125 0.096 42.952 0.000 4.125 6.200
## .quality_2 4.104 0.094 43.532 0.000 4.104 6.283
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.027 0.031 0.870 0.384 0.027 0.122
## .awareness_2 0.106 0.026 4.144 0.000 0.106 0.566
## .awareness_3 0.467 0.108 4.316 0.000 0.467 0.611
## .awrnss_4_rvrsd 0.733 0.156 4.689 0.000 0.733 0.774
## .loyalty_1 0.260 0.110 2.360 0.018 0.260 0.174
## .loyalty_2 0.423 0.108 3.912 0.000 0.423 0.346
## .loyalty_3 0.282 0.092 3.062 0.002 0.282 0.236
## .quality_1 0.046 0.040 1.158 0.247 0.046 0.105
## .quality_2 0.016 0.040 0.388 0.698 0.016 0.037
## Awareness 0.195 0.054 3.582 0.000 1.000 1.000
## Loyalty 1.236 0.316 3.912 0.000 1.000 1.000
## Quality 0.396 0.098 4.050 0.000 1.000 1.000
##
##
## Group 21 [Alpyn Beauty]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 0.905 0.931
## awareness_2 1.019 0.089 11.453 0.000 0.922 0.904
## awareness_3 0.929 0.064 14.555 0.000 0.841 0.972
## awrnss_4_rvrsd 0.704 0.153 4.610 0.000 0.637 0.558
## Loyalty =~
## loyalty_1 1.000 0.824 0.813
## loyalty_2 1.143 0.142 8.029 0.000 0.942 0.929
## loyalty_3 0.993 0.129 7.666 0.000 0.818 0.889
## Quality =~
## quality_1 1.000 0.618 0.935
## quality_2 1.085 0.120 9.018 0.000 0.670 0.942
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.504 0.141 3.572 0.000 0.676 0.676
## Quality 0.359 0.099 3.608 0.000 0.642 0.642
## Loyalty ~~
## Quality 0.275 0.091 3.036 0.002 0.540 0.540
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.692 0.135 12.562 0.000 1.692 1.742
## .awareness_2 1.635 0.141 11.561 0.000 1.635 1.603
## .awareness_3 1.538 0.120 12.823 0.000 1.538 1.778
## .awrnss_4_rvrsd 1.923 0.158 12.154 0.000 1.923 1.686
## .loyalty_1 1.827 0.141 12.995 0.000 1.827 1.802
## .loyalty_2 2.173 0.141 15.457 0.000 2.173 2.144
## .loyalty_3 2.135 0.128 16.723 0.000 2.135 2.319
## .quality_1 3.423 0.092 37.366 0.000 3.423 5.182
## .quality_2 3.385 0.099 34.314 0.000 3.385 4.758
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.125 0.034 3.668 0.000 0.125 0.133
## .awareness_2 0.190 0.045 4.197 0.000 0.190 0.183
## .awareness_3 0.042 0.021 1.956 0.050 0.042 0.056
## .awrnss_4_rvrsd 0.896 0.178 5.020 0.000 0.896 0.688
## .loyalty_1 0.348 0.082 4.263 0.000 0.348 0.339
## .loyalty_2 0.141 0.060 2.359 0.018 0.141 0.137
## .loyalty_3 0.178 0.054 3.315 0.001 0.178 0.210
## .quality_1 0.055 0.035 1.574 0.115 0.055 0.125
## .quality_2 0.057 0.040 1.399 0.162 0.057 0.112
## Awareness 0.819 0.185 4.426 0.000 1.000 1.000
## Loyalty 0.679 0.195 3.487 0.000 1.000 1.000
## Quality 0.382 0.091 4.191 0.000 1.000 1.000
##
##
## Group 22 [Kiehl's Since 1851]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.538 0.976
## awareness_2 1.025 0.043 24.055 0.000 1.577 0.988
## awareness_3 0.897 0.065 13.746 0.000 1.379 0.911
## awrnss_4_rvrsd 0.554 0.128 4.346 0.000 0.852 0.534
## Loyalty =~
## loyalty_1 1.000 0.814 0.793
## loyalty_2 1.104 0.166 6.664 0.000 0.899 0.902
## loyalty_3 0.804 0.134 5.981 0.000 0.655 0.800
## Quality =~
## quality_1 1.000 0.880 0.976
## quality_2 0.951 0.113 8.398 0.000 0.836 0.913
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.802 0.241 3.331 0.001 0.641 0.641
## Quality 0.704 0.224 3.142 0.002 0.521 0.521
## Loyalty ~~
## Quality 0.420 0.135 3.121 0.002 0.586 0.586
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.735 0.225 12.155 0.000 2.735 1.736
## .awareness_2 2.837 0.228 12.448 0.000 2.837 1.778
## .awareness_3 2.531 0.216 11.707 0.000 2.531 1.672
## .awrnss_4_rvrsd 3.061 0.228 13.426 0.000 3.061 1.918
## .loyalty_1 1.918 0.147 13.077 0.000 1.918 1.868
## .loyalty_2 2.163 0.142 15.191 0.000 2.163 2.170
## .loyalty_3 1.939 0.117 16.584 0.000 1.939 2.369
## .quality_1 3.592 0.129 27.885 0.000 3.592 3.984
## .quality_2 3.653 0.131 27.921 0.000 3.653 3.989
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.116 0.045 2.559 0.011 0.116 0.047
## .awareness_2 0.058 0.042 1.379 0.168 0.058 0.023
## .awareness_3 0.389 0.085 4.552 0.000 0.389 0.170
## .awrnss_4_rvrsd 1.821 0.370 4.921 0.000 1.821 0.715
## .loyalty_1 0.391 0.101 3.883 0.000 0.391 0.371
## .loyalty_2 0.186 0.079 2.345 0.019 0.186 0.187
## .loyalty_3 0.241 0.063 3.823 0.000 0.241 0.360
## .quality_1 0.039 0.075 0.516 0.606 0.039 0.048
## .quality_2 0.139 0.073 1.906 0.057 0.139 0.166
## Awareness 2.364 0.502 4.709 0.000 1.000 1.000
## Loyalty 0.663 0.207 3.197 0.001 1.000 1.000
## Quality 0.774 0.180 4.295 0.000 1.000 1.000
##
##
## Group 23 [Caudalie]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.319 0.996
## awareness_2 1.054 0.059 17.951 0.000 1.390 0.939
## awareness_3 0.880 0.041 21.607 0.000 1.160 0.959
## awrnss_4_rvrsd 0.767 0.103 7.435 0.000 1.012 0.733
## Loyalty =~
## loyalty_1 1.000 0.807 0.882
## loyalty_2 0.957 0.131 7.326 0.000 0.772 0.826
## loyalty_3 0.906 0.111 8.129 0.000 0.731 0.886
## Quality =~
## quality_1 1.000 1.068 1.056
## quality_2 0.816 0.098 8.343 0.000 0.871 0.880
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.605 0.187 3.233 0.001 0.568 0.568
## Quality 0.493 0.201 2.456 0.014 0.350 0.350
## Loyalty ~~
## Quality 0.462 0.143 3.236 0.001 0.536 0.536
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.000 0.189 10.567 0.000 2.000 1.510
## .awareness_2 2.184 0.211 10.327 0.000 2.184 1.475
## .awareness_3 1.918 0.173 11.103 0.000 1.918 1.586
## .awrnss_4_rvrsd 2.265 0.197 11.476 0.000 2.265 1.639
## .loyalty_1 1.755 0.131 13.421 0.000 1.755 1.917
## .loyalty_2 2.061 0.134 15.435 0.000 2.061 2.205
## .loyalty_3 1.816 0.118 15.412 0.000 1.816 2.202
## .quality_1 3.551 0.144 24.577 0.000 3.551 3.511
## .quality_2 3.571 0.141 25.259 0.000 3.571 3.608
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.015 0.025 0.596 0.551 0.015 0.009
## .awareness_2 0.259 0.060 4.330 0.000 0.259 0.118
## .awareness_3 0.116 0.031 3.786 0.000 0.116 0.080
## .awrnss_4_rvrsd 0.885 0.181 4.899 0.000 0.885 0.463
## .loyalty_1 0.187 0.060 3.104 0.002 0.187 0.223
## .loyalty_2 0.277 0.072 3.845 0.000 0.277 0.317
## .loyalty_3 0.146 0.048 3.019 0.003 0.146 0.214
## .quality_1 -0.117 0.116 -1.012 0.312 -0.117 -0.115
## .quality_2 0.221 0.088 2.519 0.012 0.221 0.226
## Awareness 1.740 0.355 4.895 0.000 1.000 1.000
## Loyalty 0.651 0.172 3.796 0.000 1.000 1.000
## Quality 1.140 0.235 4.861 0.000 1.000 1.000
##
##
## Group 24 [KORA Organics]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awareness_1 1.000 1.217 0.951
## awareness_2 1.057 0.064 16.619 0.000 1.287 0.970
## awareness_3 0.932 0.061 15.246 0.000 1.135 0.954
## awrnss_4_rvrsd 0.762 0.103 7.373 0.000 0.927 0.748
## Loyalty =~
## loyalty_1 1.000 0.901 0.939
## loyalty_2 1.075 0.106 10.099 0.000 0.969 0.900
## loyalty_3 0.676 0.099 6.820 0.000 0.609 0.742
## Quality =~
## quality_1 1.000 0.684 0.969
## quality_2 0.837 0.124 6.770 0.000 0.572 0.878
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.875 0.211 4.155 0.000 0.798 0.798
## Quality 0.469 0.141 3.322 0.001 0.563 0.563
## Loyalty ~~
## Quality 0.332 0.105 3.155 0.002 0.538 0.538
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.040 0.181 11.269 0.000 2.040 1.594
## .awareness_2 2.000 0.188 10.660 0.000 2.000 1.508
## .awareness_3 1.840 0.168 10.940 0.000 1.840 1.547
## .awrnss_4_rvrsd 2.060 0.175 11.752 0.000 2.060 1.662
## .loyalty_1 1.800 0.136 13.270 0.000 1.800 1.877
## .loyalty_2 2.040 0.152 13.402 0.000 2.040 1.895
## .loyalty_3 1.740 0.116 15.004 0.000 1.740 2.122
## .quality_1 3.320 0.100 33.280 0.000 3.320 4.706
## .quality_2 3.340 0.092 36.253 0.000 3.340 5.127
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.157 0.043 3.661 0.000 0.157 0.096
## .awareness_2 0.104 0.038 2.769 0.006 0.104 0.059
## .awareness_3 0.127 0.036 3.557 0.000 0.127 0.090
## .awrnss_4_rvrsd 0.677 0.140 4.833 0.000 0.677 0.440
## .loyalty_1 0.108 0.049 2.198 0.028 0.108 0.118
## .loyalty_2 0.220 0.068 3.215 0.001 0.220 0.190
## .loyalty_3 0.302 0.066 4.562 0.000 0.302 0.449
## .quality_1 0.030 0.058 0.521 0.602 0.030 0.060
## .quality_2 0.097 0.045 2.181 0.029 0.097 0.229
## Awareness 1.482 0.327 4.525 0.000 1.000 1.000
## Loyalty 0.812 0.188 4.317 0.000 1.000 1.000
## Quality 0.468 0.115 4.079 0.000 1.000 1.000## Warning: lavaan->lav_object_post_check():
## some estimated ov variances are negative## lavaan 0.6-19 ended normally after 175 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 720
## Number of equality constraints 138
##
## Number of observations per group:
## Dr. Jart+ 48
## First Aid Beauty 43
## Shiseido 49
## MATTER OF FACT 51
## Kate Somerville 48
## Drunk Elephant 51
## Origins 51
## Sunday Riley 52
## Youth To The People 50
## IT Cosmetics 51
## MARA 48
## Peter Thomas Roth 47
## Naturally Serious 45
## Biossance 47
## Moon Juice 52
## fresh 53
## Paula's Choice 48
## The Outset 48
## iNNBEAUTY PROJECT 49
## CLINIQUE 48
## Alpyn Beauty 52
## Kiehl's Since 1851 49
## Caudalie 49
## KORA Organics 50
##
## Model Test User Model:
##
## Test statistic 1095.428
## Degrees of freedom 714
## P-value (Chi-square) 0.000
## Test statistic for each group:
## Dr. Jart+ 39.255
## First Aid Beauty 34.714
## Shiseido 55.570
## MATTER OF FACT 28.700
## Kate Somerville 47.753
## Drunk Elephant 46.413
## Origins 40.796
## Sunday Riley 57.858
## Youth To The People 45.419
## IT Cosmetics 30.923
## MARA 63.008
## Peter Thomas Roth 27.079
## Naturally Serious 69.602
## Biossance 47.147
## Moon Juice 50.399
## fresh 52.756
## Paula's Choice 37.788
## The Outset 58.548
## iNNBEAUTY PROJECT 37.861
## CLINIQUE 40.072
## Alpyn Beauty 34.581
## Kiehl's Since 1851 30.378
## Caudalie 74.115
## KORA Organics 44.693
##
## Model Test Baseline Model:
##
## Test statistic 9652.300
## Degrees of freedom 864
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.957
## Tucker-Lewis Index (TLI) 0.947
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -10652.956
## Loglikelihood unrestricted model (H1) -10105.242
##
## Akaike (AIC) 22469.912
## Bayesian (BIC) 25422.061
## Sample-size adjusted Bayesian (SABIC) 23573.420
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.104
## 90 Percent confidence interval - lower 0.092
## 90 Percent confidence interval - upper 0.116
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 0.999
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.092
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
##
## Group 1 [Dr. Jart+]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.283 0.981
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.316 0.865
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.192 0.863
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.952 0.701
## Loyalty =~
## lylty_1 1.000 0.793 0.812
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.812 0.803
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.735 0.754
## Quality =~
## qulty_1 1.000 0.909 0.967
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.827 0.904
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.591 0.184 3.204 0.001 0.580 0.580
## Quality 0.690 0.202 3.420 0.001 0.592 0.592
## Loyalty ~~
## Quality 0.355 0.128 2.778 0.005 0.492 0.492
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.104 0.189 11.146 0.000 2.104 1.609
## .awareness_2 2.104 0.220 9.582 0.000 2.104 1.383
## .awareness_3 2.104 0.199 10.549 0.000 2.104 1.523
## .awrnss_4_rvrsd 2.417 0.196 12.329 0.000 2.417 1.780
## .loyalty_1 1.938 0.141 13.738 0.000 1.938 1.983
## .loyalty_2 2.354 0.146 16.127 0.000 2.354 2.328
## .loyalty_3 2.104 0.141 14.959 0.000 2.104 2.159
## .quality_1 3.458 0.136 25.505 0.000 3.458 3.681
## .quality_2 3.479 0.132 26.332 0.000 3.479 3.801
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.065 0.058 1.112 0.266 0.065 0.038
## .awareness_2 0.584 0.137 4.270 0.000 0.584 0.252
## .awareness_3 0.488 0.114 4.283 0.000 0.488 0.256
## .awrnss_4_rvrsd 0.938 0.198 4.738 0.000 0.938 0.509
## .loyalty_1 0.325 0.096 3.389 0.001 0.325 0.341
## .loyalty_2 0.364 0.104 3.483 0.000 0.364 0.356
## .loyalty_3 0.410 0.106 3.881 0.000 0.410 0.431
## .quality_1 0.056 0.057 0.987 0.324 0.056 0.064
## .quality_2 0.154 0.056 2.746 0.006 0.154 0.184
## Awareness 1.646 0.348 4.724 0.000 1.000 1.000
## Loyalty 0.629 0.156 4.034 0.000 1.000 1.000
## Quality 0.826 0.181 4.558 0.000 1.000 1.000
##
##
## Group 2 [First Aid Beauty]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.357 0.972
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.391 0.917
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.261 0.811
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 1.007 0.758
## Loyalty =~
## lylty_1 1.000 0.686 0.810
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.702 0.718
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.636 0.792
## Quality =~
## qulty_1 1.000 0.696 1.014
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.633 0.737
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.575 0.182 3.155 0.002 0.618 0.618
## Quality 0.457 0.161 2.846 0.004 0.484 0.484
## Loyalty ~~
## Quality 0.279 0.090 3.102 0.002 0.584 0.584
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.488 0.213 11.694 0.000 2.488 1.783
## .awareness_2 2.791 0.231 12.064 0.000 2.791 1.840
## .awareness_3 2.651 0.237 11.177 0.000 2.651 1.704
## .awrnss_4_rvrsd 2.721 0.203 13.424 0.000 2.721 2.047
## .loyalty_1 1.837 0.129 14.219 0.000 1.837 2.168
## .loyalty_2 2.256 0.149 15.126 0.000 2.256 2.307
## .loyalty_3 2.140 0.122 17.482 0.000 2.140 2.666
## .quality_1 3.419 0.105 32.648 0.000 3.419 4.979
## .quality_2 3.512 0.131 26.803 0.000 3.512 4.087
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.106 0.070 1.527 0.127 0.106 0.055
## .awareness_2 0.365 0.107 3.405 0.001 0.365 0.159
## .awareness_3 0.829 0.194 4.273 0.000 0.829 0.343
## .awrnss_4_rvrsd 0.753 0.172 4.390 0.000 0.753 0.426
## .loyalty_1 0.247 0.077 3.217 0.001 0.247 0.345
## .loyalty_2 0.464 0.120 3.861 0.000 0.464 0.485
## .loyalty_3 0.240 0.071 3.384 0.001 0.240 0.373
## .quality_1 -0.013 0.055 -0.237 0.813 -0.013 -0.027
## .quality_2 0.337 0.086 3.940 0.000 0.337 0.457
## Awareness 1.841 0.414 4.449 0.000 1.000 1.000
## Loyalty 0.471 0.125 3.761 0.000 1.000 1.000
## Quality 0.484 0.117 4.142 0.000 1.000 1.000
##
##
## Group 3 [Shiseido]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.329 0.936
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.363 0.922
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.235 0.816
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.986 0.635
## Loyalty =~
## lylty_1 1.000 0.799 0.869
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.818 0.888
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.740 0.844
## Quality =~
## qulty_1 1.000 0.690 0.932
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.628 0.816
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.287 0.170 1.688 0.091 0.270 0.270
## Quality 0.510 0.160 3.181 0.001 0.557 0.557
## Loyalty ~~
## Quality 0.161 0.091 1.778 0.075 0.292 0.292
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.857 0.203 14.082 0.000 2.857 2.012
## .awareness_2 3.000 0.211 14.210 0.000 3.000 2.030
## .awareness_3 2.184 0.216 10.096 0.000 2.184 1.442
## .awrnss_4_rvrsd 2.694 0.222 12.132 0.000 2.694 1.733
## .loyalty_1 1.837 0.131 13.991 0.000 1.837 1.999
## .loyalty_2 2.163 0.131 16.454 0.000 2.163 2.351
## .loyalty_3 1.898 0.125 15.143 0.000 1.898 2.163
## .quality_1 3.735 0.106 35.313 0.000 3.735 5.045
## .quality_2 3.653 0.110 33.233 0.000 3.653 4.748
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.251 0.094 2.654 0.008 0.251 0.124
## .awareness_2 0.326 0.108 3.035 0.002 0.326 0.149
## .awareness_3 0.766 0.177 4.340 0.000 0.766 0.334
## .awrnss_4_rvrsd 1.443 0.304 4.748 0.000 1.443 0.597
## .loyalty_1 0.206 0.062 3.353 0.001 0.206 0.244
## .loyalty_2 0.179 0.059 3.026 0.002 0.179 0.211
## .loyalty_3 0.222 0.060 3.692 0.000 0.222 0.288
## .quality_1 0.072 0.052 1.374 0.169 0.072 0.132
## .quality_2 0.198 0.058 3.423 0.001 0.198 0.334
## Awareness 1.766 0.381 4.632 0.000 1.000 1.000
## Loyalty 0.638 0.145 4.416 0.000 1.000 1.000
## Quality 0.476 0.112 4.254 0.000 1.000 1.000
##
##
## Group 4 [MATTER OF FACT]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.010 0.965
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.035 0.937
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.938 0.957
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.749 0.516
## Loyalty =~
## lylty_1 1.000 0.789 0.863
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.808 0.843
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.731 0.743
## Quality =~
## qulty_1 1.000 0.607 0.887
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.552 0.858
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.682 0.155 4.403 0.000 0.856 0.856
## Quality 0.323 0.104 3.101 0.002 0.527 0.527
## Loyalty ~~
## Quality 0.298 0.088 3.386 0.001 0.622 0.622
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.765 0.146 12.046 0.000 1.765 1.687
## .awareness_2 1.686 0.155 10.899 0.000 1.686 1.526
## .awareness_3 1.686 0.137 12.276 0.000 1.686 1.719
## .awrnss_4_rvrsd 2.412 0.203 11.869 0.000 2.412 1.662
## .loyalty_1 1.706 0.128 13.332 0.000 1.706 1.867
## .loyalty_2 2.039 0.134 15.193 0.000 2.039 2.127
## .loyalty_3 1.941 0.138 14.088 0.000 1.941 1.973
## .quality_1 3.412 0.096 35.625 0.000 3.412 4.988
## .quality_2 3.510 0.090 38.967 0.000 3.510 5.456
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.075 0.026 2.907 0.004 0.075 0.069
## .awareness_2 0.149 0.038 3.932 0.000 0.149 0.122
## .awareness_3 0.082 0.025 3.317 0.001 0.082 0.085
## .awrnss_4_rvrsd 1.544 0.309 4.997 0.000 1.544 0.733
## .loyalty_1 0.212 0.060 3.538 0.000 0.212 0.254
## .loyalty_2 0.267 0.070 3.803 0.000 0.267 0.290
## .loyalty_3 0.434 0.098 4.443 0.000 0.434 0.448
## .quality_1 0.100 0.042 2.352 0.019 0.100 0.213
## .quality_2 0.109 0.038 2.881 0.004 0.109 0.264
## Awareness 1.019 0.209 4.884 0.000 1.000 1.000
## Loyalty 0.623 0.144 4.333 0.000 1.000 1.000
## Quality 0.368 0.086 4.290 0.000 1.000 1.000
##
##
## Group 5 [Kate Somerville]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.005 0.899
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.031 0.744
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.934 0.895
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.746 0.539
## Loyalty =~
## lylty_1 1.000 0.636 0.810
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.651 0.781
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.589 0.679
## Quality =~
## qulty_1 1.000 0.668 0.964
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.608 0.810
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.395 0.122 3.242 0.001 0.618 0.618
## Quality 0.405 0.120 3.366 0.001 0.603 0.603
## Loyalty ~~
## Quality 0.098 0.072 1.366 0.172 0.231 0.231
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.833 0.161 11.356 0.000 1.833 1.639
## .awareness_2 2.250 0.200 11.255 0.000 2.250 1.625
## .awareness_3 1.521 0.151 10.100 0.000 1.521 1.458
## .awrnss_4_rvrsd 2.188 0.200 10.959 0.000 2.188 1.582
## .loyalty_1 1.542 0.113 13.604 0.000 1.542 1.964
## .loyalty_2 1.833 0.120 15.243 0.000 1.833 2.200
## .loyalty_3 1.812 0.125 14.476 0.000 1.812 2.089
## .quality_1 3.375 0.100 33.732 0.000 3.375 4.869
## .quality_2 3.500 0.108 32.300 0.000 3.500 4.662
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.241 0.079 3.061 0.002 0.241 0.193
## .awareness_2 0.856 0.195 4.382 0.000 0.856 0.446
## .awareness_3 0.216 0.069 3.120 0.002 0.216 0.198
## .awrnss_4_rvrsd 1.356 0.287 4.731 0.000 1.356 0.709
## .loyalty_1 0.212 0.066 3.213 0.001 0.212 0.345
## .loyalty_2 0.271 0.077 3.516 0.000 0.271 0.390
## .loyalty_3 0.406 0.097 4.162 0.000 0.406 0.539
## .quality_1 0.034 0.044 0.775 0.438 0.034 0.071
## .quality_2 0.194 0.054 3.621 0.000 0.194 0.344
## Awareness 1.010 0.228 4.428 0.000 1.000 1.000
## Loyalty 0.404 0.103 3.912 0.000 1.000 1.000
## Quality 0.446 0.103 4.334 0.000 1.000 1.000
##
##
## Group 6 [Drunk Elephant]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.516 0.983
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.555 0.867
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.409 0.950
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 1.125 0.785
## Loyalty =~
## lylty_1 1.000 0.828 0.832
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.848 0.816
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.767 0.758
## Quality =~
## qulty_1 1.000 0.891 0.965
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.811 0.892
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.619 0.212 2.921 0.003 0.493 0.493
## Quality 0.608 0.215 2.833 0.005 0.450 0.450
## Loyalty ~~
## Quality 0.317 0.124 2.562 0.010 0.430 0.430
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.392 0.216 11.078 0.000 2.392 1.551
## .awareness_2 2.608 0.251 10.387 0.000 2.608 1.454
## .awareness_3 2.196 0.208 10.580 0.000 2.196 1.481
## .awrnss_4_rvrsd 2.549 0.201 12.699 0.000 2.549 1.778
## .loyalty_1 1.569 0.139 11.253 0.000 1.569 1.576
## .loyalty_2 2.118 0.146 14.551 0.000 2.118 2.038
## .loyalty_3 1.824 0.142 12.859 0.000 1.824 1.801
## .quality_1 3.490 0.129 26.969 0.000 3.490 3.776
## .quality_2 3.569 0.127 28.021 0.000 3.569 3.924
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.080 0.054 1.489 0.137 0.080 0.034
## .awareness_2 0.798 0.172 4.650 0.000 0.798 0.248
## .awareness_3 0.212 0.062 3.422 0.001 0.212 0.097
## .awrnss_4_rvrsd 0.789 0.163 4.851 0.000 0.789 0.384
## .loyalty_1 0.305 0.092 3.323 0.001 0.305 0.308
## .loyalty_2 0.362 0.103 3.520 0.000 0.362 0.335
## .loyalty_3 0.437 0.108 4.029 0.000 0.437 0.426
## .quality_1 0.059 0.062 0.958 0.338 0.059 0.070
## .quality_2 0.169 0.061 2.791 0.005 0.169 0.204
## Awareness 2.298 0.467 4.924 0.000 1.000 1.000
## Loyalty 0.686 0.162 4.224 0.000 1.000 1.000
## Quality 0.795 0.171 4.642 0.000 1.000 1.000
##
##
## Group 7 [Origins]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.227 0.939
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.258 0.904
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.140 0.892
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.911 0.693
## Loyalty =~
## lylty_1 1.000 0.785 0.954
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.804 0.797
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.728 0.813
## Quality =~
## qulty_1 1.000 0.711 0.973
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.647 0.822
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.417 0.155 2.687 0.007 0.433 0.433
## Quality 0.360 0.139 2.596 0.009 0.412 0.412
## Loyalty ~~
## Quality 0.182 0.087 2.097 0.036 0.326 0.326
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.608 0.183 14.253 0.000 2.608 1.996
## .awareness_2 2.667 0.195 13.688 0.000 2.667 1.917
## .awareness_3 2.353 0.179 13.147 0.000 2.353 1.841
## .awrnss_4_rvrsd 2.667 0.184 14.488 0.000 2.667 2.029
## .loyalty_1 1.863 0.115 16.163 0.000 1.863 2.263
## .loyalty_2 2.333 0.141 16.515 0.000 2.333 2.313
## .loyalty_3 2.118 0.125 16.904 0.000 2.118 2.367
## .quality_1 3.667 0.102 35.798 0.000 3.667 5.013
## .quality_2 3.667 0.110 33.238 0.000 3.667 4.654
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.202 0.071 2.837 0.005 0.202 0.118
## .awareness_2 0.352 0.096 3.688 0.000 0.352 0.182
## .awareness_3 0.333 0.086 3.881 0.000 0.333 0.204
## .awrnss_4_rvrsd 0.899 0.188 4.788 0.000 0.899 0.520
## .loyalty_1 0.060 0.041 1.463 0.143 0.060 0.089
## .loyalty_2 0.372 0.087 4.285 0.000 0.372 0.365
## .loyalty_3 0.271 0.065 4.161 0.000 0.271 0.338
## .quality_1 0.029 0.050 0.574 0.566 0.029 0.054
## .quality_2 0.202 0.058 3.500 0.000 0.202 0.325
## Awareness 1.506 0.317 4.751 0.000 1.000 1.000
## Loyalty 0.617 0.133 4.634 0.000 1.000 1.000
## Quality 0.506 0.113 4.479 0.000 1.000 1.000
##
##
## Group 8 [Sunday Riley]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.381 0.976
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.416 0.952
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.283 0.856
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 1.025 0.767
## Loyalty =~
## lylty_1 1.000 0.807 0.880
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.826 0.863
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.747 0.832
## Quality =~
## qulty_1 1.000 0.694 0.955
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.631 0.886
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.769 0.197 3.899 0.000 0.691 0.691
## Quality 0.637 0.165 3.854 0.000 0.665 0.665
## Loyalty ~~
## Quality 0.351 0.098 3.578 0.000 0.627 0.627
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.404 0.196 12.258 0.000 2.404 1.700
## .awareness_2 2.596 0.206 12.588 0.000 2.596 1.746
## .awareness_3 2.212 0.208 10.639 0.000 2.212 1.475
## .awrnss_4_rvrsd 2.577 0.185 13.901 0.000 2.577 1.928
## .loyalty_1 1.846 0.127 14.525 0.000 1.846 2.014
## .loyalty_2 2.192 0.133 16.533 0.000 2.192 2.293
## .loyalty_3 2.000 0.125 16.048 0.000 2.000 2.226
## .quality_1 3.500 0.101 34.729 0.000 3.500 4.816
## .quality_2 3.558 0.099 35.995 0.000 3.558 4.992
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.093 0.048 1.958 0.050 0.093 0.047
## .awareness_2 0.207 0.063 3.308 0.001 0.207 0.093
## .awareness_3 0.600 0.128 4.688 0.000 0.600 0.267
## .awrnss_4_rvrsd 0.737 0.151 4.892 0.000 0.737 0.412
## .loyalty_1 0.190 0.057 3.355 0.001 0.190 0.226
## .loyalty_2 0.233 0.065 3.609 0.000 0.233 0.255
## .loyalty_3 0.249 0.063 3.971 0.000 0.249 0.308
## .quality_1 0.047 0.034 1.392 0.164 0.047 0.089
## .quality_2 0.109 0.034 3.187 0.001 0.109 0.216
## Awareness 1.907 0.386 4.944 0.000 1.000 1.000
## Loyalty 0.651 0.144 4.517 0.000 1.000 1.000
## Quality 0.481 0.103 4.663 0.000 1.000 1.000
##
##
## Group 9 [Youth To The People]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.226 1.009
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.258 0.895
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.140 0.956
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.910 0.749
## Loyalty =~
## lylty_1 1.000 0.601 0.790
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.615 0.730
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.557 0.749
## Quality =~
## qulty_1 1.000 0.709 0.962
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.645 0.879
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.490 0.134 3.649 0.000 0.665 0.665
## Quality 0.428 0.139 3.073 0.002 0.492 0.492
## Loyalty ~~
## Quality 0.156 0.073 2.144 0.032 0.366 0.366
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.060 0.172 11.981 0.000 2.060 1.694
## .awareness_2 2.080 0.199 10.462 0.000 2.080 1.480
## .awareness_3 1.940 0.169 11.510 0.000 1.940 1.628
## .awrnss_4_rvrsd 2.320 0.172 13.500 0.000 2.320 1.909
## .loyalty_1 1.720 0.108 15.988 0.000 1.720 2.261
## .loyalty_2 1.880 0.119 15.776 0.000 1.880 2.231
## .loyalty_3 1.700 0.105 16.175 0.000 1.700 2.287
## .quality_1 3.260 0.104 31.279 0.000 3.260 4.424
## .quality_2 3.360 0.104 32.370 0.000 3.360 4.578
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 -0.026 0.018 -1.427 0.154 -0.026 -0.018
## .awareness_2 0.395 0.078 5.037 0.000 0.395 0.200
## .awareness_3 0.121 0.028 4.361 0.000 0.121 0.085
## .awrnss_4_rvrsd 0.648 0.127 5.104 0.000 0.648 0.439
## .loyalty_1 0.217 0.062 3.511 0.000 0.217 0.376
## .loyalty_2 0.332 0.083 3.992 0.000 0.332 0.467
## .loyalty_3 0.242 0.063 3.863 0.000 0.242 0.438
## .quality_1 0.040 0.042 0.958 0.338 0.040 0.074
## .quality_2 0.122 0.042 2.917 0.004 0.122 0.227
## Awareness 1.504 0.296 5.090 0.000 1.000 1.000
## Loyalty 0.361 0.091 3.951 0.000 1.000 1.000
## Quality 0.503 0.110 4.559 0.000 1.000 1.000
##
##
## Group 10 [IT Cosmetics]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.409 0.975
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.445 0.943
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.310 0.907
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 1.046 0.689
## Loyalty =~
## lylty_1 1.000 0.788 0.944
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.807 0.885
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.730 0.824
## Quality =~
## qulty_1 1.000 0.840 0.992
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.764 0.924
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.449 0.175 2.565 0.010 0.405 0.405
## Quality 0.619 0.191 3.251 0.001 0.523 0.523
## Loyalty ~~
## Quality 0.209 0.101 2.067 0.039 0.316 0.316
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 3.137 0.202 15.494 0.000 3.137 2.170
## .awareness_2 3.333 0.215 15.531 0.000 3.333 2.175
## .awareness_3 2.863 0.202 14.150 0.000 2.863 1.981
## .awrnss_4_rvrsd 3.392 0.213 15.960 0.000 3.392 2.235
## .loyalty_1 1.843 0.117 15.766 0.000 1.843 2.208
## .loyalty_2 2.000 0.128 15.663 0.000 2.000 2.193
## .loyalty_3 1.784 0.124 14.382 0.000 1.784 2.014
## .quality_1 3.549 0.119 29.920 0.000 3.549 4.190
## .quality_2 3.549 0.116 30.649 0.000 3.549 4.292
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.105 0.052 2.009 0.045 0.105 0.050
## .awareness_2 0.261 0.074 3.546 0.000 0.261 0.111
## .awareness_3 0.372 0.087 4.272 0.000 0.372 0.178
## .awrnss_4_rvrsd 1.210 0.246 4.912 0.000 1.210 0.525
## .loyalty_1 0.076 0.036 2.076 0.038 0.076 0.108
## .loyalty_2 0.181 0.051 3.555 0.000 0.181 0.217
## .loyalty_3 0.251 0.059 4.254 0.000 0.251 0.320
## .quality_1 0.012 0.040 0.295 0.768 0.012 0.017
## .quality_2 0.099 0.039 2.568 0.010 0.099 0.145
## Awareness 1.986 0.406 4.888 0.000 1.000 1.000
## Loyalty 0.621 0.133 4.670 0.000 1.000 1.000
## Quality 0.706 0.146 4.829 0.000 1.000 1.000
##
##
## Group 11 [MARA]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.793 0.932
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 0.813 0.917
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.737 0.938
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.588 0.422
## Loyalty =~
## lylty_1 1.000 0.747 0.926
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.764 0.799
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.692 0.942
## Quality =~
## qulty_1 1.000 0.688 0.961
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.626 0.875
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.515 0.117 4.387 0.000 0.870 0.870
## Quality 0.207 0.089 2.332 0.020 0.379 0.379
## Loyalty ~~
## Quality 0.205 0.084 2.427 0.015 0.399 0.399
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.604 0.123 13.066 0.000 1.604 1.886
## .awareness_2 1.562 0.128 12.208 0.000 1.562 1.762
## .awareness_3 1.562 0.113 13.777 0.000 1.562 1.989
## .awrnss_4_rvrsd 2.062 0.201 10.254 0.000 2.062 1.480
## .loyalty_1 1.583 0.116 13.610 0.000 1.583 1.964
## .loyalty_2 1.854 0.138 13.427 0.000 1.854 1.938
## .loyalty_3 1.625 0.106 15.329 0.000 1.625 2.213
## .quality_1 3.250 0.103 31.430 0.000 3.250 4.537
## .quality_2 3.396 0.103 32.875 0.000 3.396 4.745
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.095 0.028 3.395 0.001 0.095 0.131
## .awareness_2 0.125 0.034 3.711 0.000 0.125 0.159
## .awareness_3 0.074 0.023 3.242 0.001 0.074 0.120
## .awrnss_4_rvrsd 1.596 0.329 4.853 0.000 1.596 0.822
## .loyalty_1 0.092 0.029 3.177 0.001 0.092 0.142
## .loyalty_2 0.331 0.075 4.439 0.000 0.331 0.362
## .loyalty_3 0.061 0.022 2.714 0.007 0.061 0.113
## .quality_1 0.040 0.043 0.911 0.363 0.040 0.077
## .quality_2 0.120 0.043 2.789 0.005 0.120 0.234
## Awareness 0.629 0.135 4.644 0.000 1.000 1.000
## Loyalty 0.558 0.122 4.554 0.000 1.000 1.000
## Quality 0.474 0.107 4.438 0.000 1.000 1.000
##
##
## Group 12 [Peter Thomas Roth]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.296 0.967
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.329 0.961
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.204 0.956
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.962 0.654
## Loyalty =~
## lylty_1 1.000 0.740 0.932
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.757 0.776
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.685 0.786
## Quality =~
## qulty_1 1.000 0.886 0.993
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.806 0.870
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.602 0.173 3.482 0.000 0.628 0.628
## Quality 0.372 0.179 2.077 0.038 0.324 0.324
## Loyalty ~~
## Quality 0.281 0.109 2.579 0.010 0.429 0.429
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.128 0.196 10.882 0.000 2.128 1.587
## .awareness_2 2.170 0.202 10.763 0.000 2.170 1.570
## .awareness_3 1.936 0.184 10.536 0.000 1.936 1.537
## .awrnss_4_rvrsd 2.426 0.214 11.311 0.000 2.426 1.650
## .loyalty_1 1.617 0.116 13.971 0.000 1.617 2.038
## .loyalty_2 1.936 0.142 13.608 0.000 1.936 1.985
## .loyalty_3 1.809 0.127 14.216 0.000 1.809 2.074
## .quality_1 3.404 0.130 26.165 0.000 3.404 3.817
## .quality_2 3.511 0.135 25.977 0.000 3.511 3.789
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.117 0.040 2.936 0.003 0.117 0.065
## .awareness_2 0.145 0.045 3.215 0.001 0.145 0.076
## .awareness_3 0.136 0.040 3.434 0.001 0.136 0.086
## .awrnss_4_rvrsd 1.237 0.260 4.755 0.000 1.237 0.572
## .loyalty_1 0.083 0.043 1.901 0.057 0.083 0.131
## .loyalty_2 0.378 0.092 4.117 0.000 0.378 0.398
## .loyalty_3 0.291 0.072 4.061 0.000 0.291 0.383
## .quality_1 0.011 0.064 0.169 0.866 0.011 0.014
## .quality_2 0.209 0.068 3.051 0.002 0.209 0.243
## Awareness 1.679 0.356 4.711 0.000 1.000 1.000
## Loyalty 0.547 0.126 4.331 0.000 1.000 1.000
## Quality 0.785 0.175 4.496 0.000 1.000 1.000
##
##
## Group 13 [Naturally Serious]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.854 0.852
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 0.876 0.933
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.794 0.941
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.634 0.522
## Loyalty =~
## lylty_1 1.000 0.735 0.966
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.752 0.920
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.681 0.883
## Quality =~
## qulty_1 1.000 0.510 0.787
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.464 0.940
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.294 0.108 2.731 0.006 0.468 0.468
## Quality 0.141 0.073 1.915 0.056 0.323 0.323
## Loyalty ~~
## Quality 0.075 0.061 1.227 0.220 0.200 0.200
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.689 0.149 11.304 0.000 1.689 1.685
## .awareness_2 1.644 0.140 11.753 0.000 1.644 1.752
## .awareness_3 1.644 0.126 13.075 0.000 1.644 1.949
## .awrnss_4_rvrsd 1.867 0.181 10.312 0.000 1.867 1.537
## .loyalty_1 1.667 0.113 14.703 0.000 1.667 2.192
## .loyalty_2 1.844 0.122 15.144 0.000 1.844 2.258
## .loyalty_3 1.800 0.115 15.667 0.000 1.800 2.335
## .quality_1 3.089 0.097 31.968 0.000 3.089 4.766
## .quality_2 3.200 0.074 43.467 0.000 3.200 6.480
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.275 0.068 4.043 0.000 0.275 0.274
## .awareness_2 0.114 0.041 2.797 0.005 0.114 0.129
## .awareness_3 0.082 0.032 2.562 0.010 0.082 0.115
## .awrnss_4_rvrsd 1.073 0.231 4.649 0.000 1.073 0.728
## .loyalty_1 0.038 0.022 1.771 0.077 0.038 0.066
## .loyalty_2 0.102 0.031 3.339 0.001 0.102 0.153
## .loyalty_3 0.131 0.033 3.933 0.000 0.131 0.220
## .quality_1 0.160 0.048 3.317 0.001 0.160 0.381
## .quality_2 0.029 0.029 0.977 0.328 0.029 0.117
## Awareness 0.730 0.163 4.465 0.000 1.000 1.000
## Loyalty 0.540 0.119 4.519 0.000 1.000 1.000
## Quality 0.260 0.065 3.972 0.000 1.000 1.000
##
##
## Group 14 [Biossance]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.000 0.969
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.025 0.840
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.929 0.865
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.742 0.524
## Loyalty =~
## lylty_1 1.000 0.761 0.799
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.779 0.875
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.705 0.789
## Quality =~
## qulty_1 1.000 0.788 0.958
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.717 0.891
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.246 0.127 1.936 0.053 0.323 0.323
## Quality 0.410 0.135 3.029 0.002 0.521 0.521
## Loyalty ~~
## Quality 0.275 0.105 2.620 0.009 0.459 0.459
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.723 0.151 11.449 0.000 1.723 1.670
## .awareness_2 1.851 0.178 10.401 0.000 1.851 1.517
## .awareness_3 1.596 0.157 10.185 0.000 1.596 1.486
## .awrnss_4_rvrsd 2.149 0.207 10.402 0.000 2.149 1.517
## .loyalty_1 1.617 0.139 11.634 0.000 1.617 1.697
## .loyalty_2 1.915 0.130 14.744 0.000 1.915 2.151
## .loyalty_3 1.809 0.130 13.868 0.000 1.809 2.023
## .quality_1 3.404 0.120 28.397 0.000 3.404 4.142
## .quality_2 3.426 0.117 29.177 0.000 3.426 4.256
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.066 0.047 1.385 0.166 0.066 0.062
## .awareness_2 0.438 0.105 4.165 0.000 0.438 0.294
## .awareness_3 0.290 0.073 3.952 0.000 0.290 0.252
## .awrnss_4_rvrsd 1.456 0.306 4.762 0.000 1.456 0.726
## .loyalty_1 0.328 0.089 3.685 0.000 0.328 0.362
## .loyalty_2 0.186 0.068 2.721 0.007 0.186 0.234
## .loyalty_3 0.302 0.080 3.766 0.000 0.302 0.377
## .quality_1 0.055 0.049 1.128 0.259 0.055 0.081
## .quality_2 0.134 0.048 2.792 0.005 0.134 0.207
## Awareness 0.999 0.217 4.595 0.000 1.000 1.000
## Loyalty 0.580 0.140 4.149 0.000 1.000 1.000
## Quality 0.620 0.140 4.446 0.000 1.000 1.000
##
##
## Group 15 [Moon Juice]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.963 0.952
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 0.987 0.933
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.895 0.959
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.714 0.554
## Loyalty =~
## lylty_1 1.000 0.695 0.871
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.711 0.827
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.644 0.831
## Quality =~
## qulty_1 1.000 0.623 0.906
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.567 0.745
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.475 0.120 3.946 0.000 0.710 0.710
## Quality 0.075 0.092 0.814 0.416 0.125 0.125
## Loyalty ~~
## Quality 0.065 0.070 0.932 0.351 0.150 0.150
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.615 0.140 11.516 0.000 1.615 1.597
## .awareness_2 1.538 0.147 10.487 0.000 1.538 1.454
## .awareness_3 1.538 0.129 11.886 0.000 1.538 1.648
## .awrnss_4_rvrsd 1.827 0.179 10.221 0.000 1.827 1.417
## .loyalty_1 1.519 0.111 13.733 0.000 1.519 1.904
## .loyalty_2 1.885 0.119 15.797 0.000 1.885 2.191
## .loyalty_3 1.712 0.107 15.936 0.000 1.712 2.210
## .quality_1 3.096 0.095 32.439 0.000 3.096 4.498
## .quality_2 3.096 0.106 29.310 0.000 3.096 4.065
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.097 0.029 3.298 0.001 0.097 0.094
## .awareness_2 0.145 0.037 3.869 0.000 0.145 0.129
## .awareness_3 0.071 0.024 2.994 0.003 0.071 0.081
## .awrnss_4_rvrsd 1.151 0.229 5.023 0.000 1.151 0.693
## .loyalty_1 0.154 0.046 3.311 0.001 0.154 0.241
## .loyalty_2 0.234 0.060 3.877 0.000 0.234 0.317
## .loyalty_3 0.185 0.048 3.830 0.000 0.185 0.309
## .quality_1 0.085 0.062 1.374 0.169 0.085 0.180
## .quality_2 0.259 0.071 3.649 0.000 0.259 0.446
## Awareness 0.927 0.189 4.908 0.000 1.000 1.000
## Loyalty 0.483 0.108 4.451 0.000 1.000 1.000
## Quality 0.388 0.097 4.002 0.000 1.000 1.000
##
##
## Group 16 [fresh]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.250 0.965
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.281 0.925
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.161 0.948
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.927 0.562
## Loyalty =~
## lylty_1 1.000 0.886 0.870
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.907 0.884
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.821 0.899
## Quality =~
## qulty_1 1.000 0.756 0.947
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.688 0.905
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.553 0.179 3.090 0.002 0.499 0.499
## Quality 0.224 0.140 1.597 0.110 0.237 0.237
## Loyalty ~~
## Quality 0.265 0.106 2.493 0.013 0.395 0.395
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.132 0.178 11.992 0.000 2.132 1.647
## .awareness_2 2.132 0.190 11.202 0.000 2.132 1.539
## .awareness_3 1.962 0.168 11.655 0.000 1.962 1.601
## .awrnss_4_rvrsd 2.340 0.226 10.331 0.000 2.340 1.419
## .loyalty_1 1.887 0.140 13.491 0.000 1.887 1.853
## .loyalty_2 2.170 0.141 15.403 0.000 2.170 2.116
## .loyalty_3 2.075 0.125 16.549 0.000 2.075 2.273
## .quality_1 3.396 0.110 30.961 0.000 3.396 4.253
## .quality_2 3.377 0.104 32.326 0.000 3.377 4.440
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.114 0.044 2.589 0.010 0.114 0.068
## .awareness_2 0.278 0.069 4.049 0.000 0.278 0.145
## .awareness_3 0.153 0.045 3.419 0.001 0.153 0.102
## .awrnss_4_rvrsd 1.859 0.367 5.068 0.000 1.859 0.684
## .loyalty_1 0.251 0.067 3.762 0.000 0.251 0.242
## .loyalty_2 0.229 0.065 3.541 0.000 0.229 0.218
## .loyalty_3 0.159 0.049 3.260 0.001 0.159 0.191
## .quality_1 0.065 0.048 1.354 0.176 0.065 0.103
## .quality_2 0.105 0.044 2.397 0.017 0.105 0.181
## Awareness 1.561 0.315 4.963 0.000 1.000 1.000
## Loyalty 0.785 0.169 4.652 0.000 1.000 1.000
## Quality 0.572 0.122 4.693 0.000 1.000 1.000
##
##
## Group 17 [Paula's Choice]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.409 0.995
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.445 0.885
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.310 0.941
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 1.046 0.819
## Loyalty =~
## lylty_1 1.000 0.935 0.892
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.957 0.913
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.866 0.816
## Quality =~
## qulty_1 1.000 0.815 0.948
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.742 0.893
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 1.060 0.252 4.207 0.000 0.804 0.804
## Quality 0.563 0.191 2.948 0.003 0.490 0.490
## Loyalty ~~
## Quality 0.326 0.128 2.540 0.011 0.428 0.428
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.417 0.204 11.829 0.000 2.417 1.707
## .awareness_2 2.646 0.236 11.231 0.000 2.646 1.621
## .awareness_3 2.333 0.201 11.617 0.000 2.333 1.677
## .awrnss_4_rvrsd 2.438 0.184 13.222 0.000 2.438 1.908
## .loyalty_1 1.917 0.151 12.671 0.000 1.917 1.829
## .loyalty_2 2.083 0.151 13.774 0.000 2.083 1.988
## .loyalty_3 2.042 0.153 13.325 0.000 2.042 1.923
## .quality_1 3.625 0.124 29.223 0.000 3.625 4.218
## .quality_2 3.729 0.120 31.113 0.000 3.729 4.491
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.018 0.034 0.531 0.595 0.018 0.009
## .awareness_2 0.576 0.124 4.628 0.000 0.576 0.216
## .awareness_3 0.221 0.054 4.063 0.000 0.221 0.114
## .awrnss_4_rvrsd 0.538 0.113 4.778 0.000 0.538 0.330
## .loyalty_1 0.224 0.066 3.391 0.001 0.224 0.204
## .loyalty_2 0.182 0.061 2.975 0.003 0.182 0.166
## .loyalty_3 0.376 0.090 4.158 0.000 0.376 0.334
## .quality_1 0.074 0.058 1.294 0.196 0.074 0.101
## .quality_2 0.140 0.054 2.581 0.010 0.140 0.202
## Awareness 1.985 0.410 4.848 0.000 1.000 1.000
## Loyalty 0.874 0.197 4.436 0.000 1.000 1.000
## Quality 0.664 0.149 4.451 0.000 1.000 1.000
##
##
## Group 18 [The Outset]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.841 0.930
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 0.863 0.958
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.782 0.947
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.624 0.368
## Loyalty =~
## lylty_1 1.000 0.463 0.877
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.473 0.783
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.429 0.881
## Quality =~
## qulty_1 1.000 0.926 1.064
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.842 0.896
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.210 0.068 3.101 0.002 0.540 0.540
## Quality 0.283 0.109 2.592 0.010 0.363 0.363
## Loyalty ~~
## Quality 0.109 0.060 1.829 0.067 0.256 0.256
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.542 0.131 11.811 0.000 1.542 1.705
## .awareness_2 1.562 0.130 12.021 0.000 1.562 1.735
## .awareness_3 1.521 0.119 12.756 0.000 1.521 1.841
## .awrnss_4_rvrsd 2.312 0.245 9.446 0.000 2.312 1.363
## .loyalty_1 1.312 0.076 17.234 0.000 1.312 2.488
## .loyalty_2 1.458 0.087 16.714 0.000 1.458 2.412
## .loyalty_3 1.354 0.070 19.284 0.000 1.354 2.783
## .quality_1 3.000 0.126 23.899 0.000 3.000 3.449
## .quality_2 3.042 0.136 22.409 0.000 3.042 3.234
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.110 0.030 3.680 0.000 0.110 0.134
## .awareness_2 0.067 0.024 2.755 0.006 0.067 0.082
## .awareness_3 0.071 0.022 3.213 0.001 0.071 0.104
## .awrnss_4_rvrsd 2.487 0.511 4.871 0.000 2.487 0.864
## .loyalty_1 0.064 0.021 3.075 0.002 0.064 0.231
## .loyalty_2 0.141 0.035 4.066 0.000 0.141 0.387
## .loyalty_3 0.053 0.018 3.001 0.003 0.053 0.224
## .quality_1 -0.101 0.048 -2.107 0.035 -0.101 -0.133
## .quality_2 0.175 0.050 3.463 0.001 0.175 0.198
## Awareness 0.708 0.151 4.702 0.000 1.000 1.000
## Loyalty 0.214 0.049 4.327 0.000 1.000 1.000
## Quality 0.857 0.174 4.919 0.000 1.000 1.000
##
##
## Group 19 [iNNBEAUTY PROJECT]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.791 0.917
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 0.811 0.920
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.735 0.878
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.587 0.455
## Loyalty =~
## lylty_1 1.000 0.682 0.924
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.698 0.729
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.632 0.843
## Quality =~
## qulty_1 1.000 0.728 0.891
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.663 0.875
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.321 0.096 3.358 0.001 0.595 0.595
## Quality 0.116 0.092 1.255 0.209 0.201 0.201
## Loyalty ~~
## Quality 0.112 0.081 1.373 0.170 0.225 0.225
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.592 0.123 12.920 0.000 1.592 1.846
## .awareness_2 1.571 0.126 12.473 0.000 1.571 1.782
## .awareness_3 1.490 0.120 12.462 0.000 1.490 1.780
## .awrnss_4_rvrsd 1.980 0.184 10.732 0.000 1.980 1.533
## .loyalty_1 1.612 0.105 15.287 0.000 1.612 2.184
## .loyalty_2 1.918 0.137 14.016 0.000 1.918 2.002
## .loyalty_3 1.694 0.107 15.814 0.000 1.694 2.259
## .quality_1 3.184 0.117 27.257 0.000 3.184 3.894
## .quality_2 3.265 0.108 30.168 0.000 3.265 4.310
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.118 0.037 3.164 0.002 0.118 0.159
## .awareness_2 0.120 0.039 3.102 0.002 0.120 0.154
## .awareness_3 0.160 0.042 3.836 0.000 0.160 0.228
## .awrnss_4_rvrsd 1.323 0.272 4.868 0.000 1.323 0.793
## .loyalty_1 0.079 0.038 2.107 0.035 0.079 0.146
## .loyalty_2 0.430 0.098 4.397 0.000 0.430 0.469
## .loyalty_3 0.162 0.045 3.608 0.000 0.162 0.289
## .quality_1 0.138 0.068 2.037 0.042 0.138 0.206
## .quality_2 0.135 0.058 2.327 0.020 0.135 0.235
## Awareness 0.626 0.136 4.612 0.000 1.000 1.000
## Loyalty 0.466 0.105 4.419 0.000 1.000 1.000
## Quality 0.531 0.124 4.262 0.000 1.000 1.000
##
##
## Group 20 [CLINIQUE]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.377 0.826
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 0.387 0.803
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.351 0.440
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.280 0.299
## Loyalty =~
## lylty_1 1.000 1.009 0.873
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 1.033 0.851
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.935 0.870
## Quality =~
## qulty_1 1.000 0.660 0.988
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.600 0.938
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.111 0.066 1.672 0.094 0.291 0.291
## Quality 0.073 0.042 1.745 0.081 0.292 0.292
## Loyalty ~~
## Quality 0.329 0.113 2.908 0.004 0.494 0.494
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 4.667 0.066 70.769 0.000 4.667 10.215
## .awareness_2 4.750 0.070 68.314 0.000 4.750 9.860
## .awareness_3 4.333 0.115 37.684 0.000 4.333 5.439
## .awrnss_4_rvrsd 4.396 0.135 32.483 0.000 4.396 4.689
## .loyalty_1 2.562 0.167 15.345 0.000 2.562 2.215
## .loyalty_2 2.833 0.175 16.166 0.000 2.833 2.333
## .loyalty_3 2.375 0.155 15.297 0.000 2.375 2.208
## .quality_1 4.125 0.096 42.779 0.000 4.125 6.175
## .quality_2 4.104 0.092 44.394 0.000 4.104 6.408
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.066 0.024 2.762 0.006 0.066 0.318
## .awareness_2 0.082 0.027 3.059 0.002 0.082 0.355
## .awareness_3 0.512 0.109 4.679 0.000 0.512 0.806
## .awrnss_4_rvrsd 0.801 0.166 4.810 0.000 0.801 0.911
## .loyalty_1 0.319 0.098 3.269 0.001 0.319 0.239
## .loyalty_2 0.407 0.114 3.565 0.000 0.407 0.276
## .loyalty_3 0.282 0.085 3.313 0.001 0.282 0.244
## .quality_1 0.011 0.025 0.435 0.664 0.011 0.024
## .quality_2 0.050 0.023 2.166 0.030 0.050 0.121
## Awareness 0.142 0.036 3.911 0.000 1.000 1.000
## Loyalty 1.019 0.234 4.356 0.000 1.000 1.000
## Quality 0.435 0.093 4.690 0.000 1.000 1.000
##
##
## Group 21 [Alpyn Beauty]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.903 0.930
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 0.926 0.905
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 0.839 0.972
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.670 0.578
## Loyalty =~
## lylty_1 1.000 0.885 0.838
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.906 0.913
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.820 0.889
## Quality =~
## qulty_1 1.000 0.656 0.986
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.597 0.880
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.549 0.141 3.904 0.000 0.687 0.687
## Quality 0.366 0.099 3.710 0.000 0.619 0.619
## Loyalty ~~
## Quality 0.293 0.094 3.108 0.002 0.506 0.506
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 1.692 0.135 12.573 0.000 1.692 1.744
## .awareness_2 1.635 0.142 11.527 0.000 1.635 1.599
## .awareness_3 1.538 0.120 12.847 0.000 1.538 1.781
## .awrnss_4_rvrsd 1.923 0.161 11.961 0.000 1.923 1.659
## .loyalty_1 1.827 0.146 12.486 0.000 1.827 1.731
## .loyalty_2 2.173 0.137 15.805 0.000 2.173 2.192
## .loyalty_3 2.135 0.128 16.697 0.000 2.135 2.315
## .quality_1 3.423 0.092 37.141 0.000 3.423 5.151
## .quality_2 3.385 0.094 36.003 0.000 3.385 4.993
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.127 0.033 3.799 0.000 0.127 0.135
## .awareness_2 0.188 0.044 4.235 0.000 0.188 0.180
## .awareness_3 0.042 0.020 2.085 0.037 0.042 0.056
## .awrnss_4_rvrsd 0.895 0.179 5.014 0.000 0.895 0.666
## .loyalty_1 0.331 0.080 4.122 0.000 0.331 0.297
## .loyalty_2 0.163 0.055 2.981 0.003 0.163 0.166
## .loyalty_3 0.178 0.051 3.481 0.000 0.178 0.209
## .quality_1 0.012 0.028 0.418 0.676 0.012 0.027
## .quality_2 0.104 0.031 3.341 0.001 0.104 0.225
## Awareness 0.815 0.166 4.899 0.000 1.000 1.000
## Loyalty 0.783 0.170 4.604 0.000 1.000 1.000
## Quality 0.430 0.090 4.787 0.000 1.000 1.000
##
##
## Group 22 [Kiehl's Since 1851]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.529 0.977
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.568 0.987
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.421 0.916
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 1.134 0.636
## Loyalty =~
## lylty_1 1.000 0.802 0.793
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.820 0.863
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.743 0.842
## Quality =~
## qulty_1 1.000 0.894 0.991
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.814 0.897
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.783 0.220 3.564 0.000 0.639 0.639
## Quality 0.695 0.222 3.132 0.002 0.509 0.509
## Loyalty ~~
## Quality 0.412 0.125 3.287 0.001 0.574 0.574
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.735 0.224 12.228 0.000 2.735 1.747
## .awareness_2 2.837 0.227 12.506 0.000 2.837 1.787
## .awareness_3 2.531 0.222 11.421 0.000 2.531 1.632
## .awrnss_4_rvrsd 3.061 0.255 12.020 0.000 3.061 1.717
## .loyalty_1 1.918 0.144 13.291 0.000 1.918 1.899
## .loyalty_2 2.163 0.136 15.926 0.000 2.163 2.275
## .loyalty_3 1.939 0.126 15.393 0.000 1.939 2.199
## .quality_1 3.592 0.129 27.860 0.000 3.592 3.980
## .quality_2 3.653 0.130 28.190 0.000 3.653 4.027
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.114 0.042 2.693 0.007 0.114 0.046
## .awareness_2 0.063 0.039 1.623 0.105 0.063 0.025
## .awareness_3 0.387 0.085 4.527 0.000 0.387 0.161
## .awrnss_4_rvrsd 1.891 0.386 4.899 0.000 1.891 0.595
## .loyalty_1 0.378 0.095 3.974 0.000 0.378 0.371
## .loyalty_2 0.231 0.071 3.248 0.001 0.231 0.256
## .loyalty_3 0.226 0.064 3.521 0.000 0.226 0.290
## .quality_1 0.015 0.051 0.287 0.774 0.015 0.018
## .quality_2 0.161 0.053 3.018 0.003 0.161 0.195
## Awareness 2.337 0.481 4.855 0.000 1.000 1.000
## Loyalty 0.642 0.151 4.268 0.000 1.000 1.000
## Quality 0.800 0.170 4.693 0.000 1.000 1.000
##
##
## Group 23 [Caudalie]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.313 0.994
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.346 0.935
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.220 0.963
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.974 0.720
## Loyalty =~
## lylty_1 1.000 0.786 0.870
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.805 0.842
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.729 0.888
## Quality =~
## qulty_1 1.000 1.028 1.012
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.935 0.922
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.585 0.177 3.301 0.001 0.566 0.566
## Quality 0.550 0.206 2.664 0.008 0.408 0.408
## Loyalty ~~
## Quality 0.451 0.136 3.311 0.001 0.558 0.558
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.000 0.189 10.607 0.000 2.000 1.515
## .awareness_2 2.184 0.206 10.619 0.000 2.184 1.517
## .awareness_3 1.918 0.181 10.599 0.000 1.918 1.514
## .awrnss_4_rvrsd 2.265 0.193 11.721 0.000 2.265 1.674
## .loyalty_1 1.755 0.129 13.586 0.000 1.755 1.941
## .loyalty_2 2.061 0.137 15.087 0.000 2.061 2.155
## .loyalty_3 1.816 0.117 15.495 0.000 1.816 2.214
## .quality_1 3.551 0.145 24.478 0.000 3.551 3.497
## .quality_2 3.571 0.145 24.631 0.000 3.571 3.519
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.019 0.024 0.791 0.429 0.019 0.011
## .awareness_2 0.261 0.059 4.412 0.000 0.261 0.126
## .awareness_3 0.117 0.032 3.689 0.000 0.117 0.073
## .awrnss_4_rvrsd 0.882 0.180 4.897 0.000 0.882 0.482
## .loyalty_1 0.199 0.057 3.468 0.001 0.199 0.244
## .loyalty_2 0.267 0.070 3.804 0.000 0.267 0.292
## .loyalty_3 0.142 0.045 3.173 0.002 0.142 0.212
## .quality_1 -0.025 0.054 -0.470 0.638 -0.025 -0.025
## .quality_2 0.155 0.055 2.840 0.005 0.155 0.151
## Awareness 1.723 0.352 4.899 0.000 1.000 1.000
## Loyalty 0.618 0.140 4.413 0.000 1.000 1.000
## Quality 1.057 0.218 4.844 0.000 1.000 1.000
##
##
## Group 24 [KORA Organics]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.234 0.953
## awrns_2 (.p2.) 1.025 0.015 67.545 0.000 1.266 0.968
## awrns_3 (.p3.) 0.929 0.013 69.634 0.000 1.147 0.956
## awrn_4_ (.p4.) 0.742 0.026 28.948 0.000 0.916 0.744
## Loyalty =~
## lylty_1 1.000 0.870 0.931
## lylty_2 (.p6.) 1.024 0.028 36.619 0.000 0.891 0.876
## lylty_3 (.p7.) 0.927 0.026 36.252 0.000 0.806 0.817
## Quality =~
## qulty_1 1.000 0.658 0.941
## qulty_2 (.p9.) 0.910 0.030 30.631 0.000 0.599 0.906
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.860 0.202 4.266 0.000 0.801 0.801
## Quality 0.459 0.138 3.337 0.001 0.565 0.565
## Loyalty ~~
## Quality 0.311 0.098 3.166 0.002 0.543 0.543
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 2.040 0.183 11.133 0.000 2.040 1.575
## .awareness_2 2.000 0.185 10.810 0.000 2.000 1.529
## .awareness_3 1.840 0.170 10.838 0.000 1.840 1.533
## .awrnss_4_rvrsd 2.060 0.174 11.828 0.000 2.060 1.673
## .loyalty_1 1.800 0.132 13.622 0.000 1.800 1.926
## .loyalty_2 2.040 0.144 14.196 0.000 2.040 2.008
## .loyalty_3 1.740 0.140 12.464 0.000 1.740 1.763
## .quality_1 3.320 0.099 33.569 0.000 3.320 4.747
## .quality_2 3.340 0.093 35.761 0.000 3.340 5.057
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.155 0.043 3.644 0.000 0.155 0.092
## .awareness_2 0.109 0.037 2.979 0.003 0.109 0.064
## .awareness_3 0.125 0.035 3.537 0.000 0.125 0.087
## .awrnss_4_rvrsd 0.678 0.140 4.839 0.000 0.678 0.447
## .loyalty_1 0.116 0.044 2.611 0.009 0.116 0.133
## .loyalty_2 0.239 0.064 3.744 0.000 0.239 0.232
## .loyalty_3 0.324 0.076 4.274 0.000 0.324 0.333
## .quality_1 0.056 0.034 1.635 0.102 0.056 0.115
## .quality_2 0.078 0.031 2.499 0.012 0.078 0.178
## Awareness 1.523 0.314 4.848 0.000 1.000 1.000
## Loyalty 0.757 0.166 4.572 0.000 1.000 1.000
## Quality 0.433 0.095 4.552 0.000 1.000 1.000## Warning: lavaan->lav_object_post_check():
## some estimated ov variances are negative## lavaan 0.6-19 ended normally after 292 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 789
## Number of equality constraints 345
##
## Number of observations per group:
## Dr. Jart+ 48
## First Aid Beauty 43
## Shiseido 49
## MATTER OF FACT 51
## Kate Somerville 48
## Drunk Elephant 51
## Origins 51
## Sunday Riley 52
## Youth To The People 50
## IT Cosmetics 51
## MARA 48
## Peter Thomas Roth 47
## Naturally Serious 45
## Biossance 47
## Moon Juice 52
## fresh 53
## Paula's Choice 48
## The Outset 48
## iNNBEAUTY PROJECT 49
## CLINIQUE 48
## Alpyn Beauty 52
## Kiehl's Since 1851 49
## Caudalie 49
## KORA Organics 50
##
## Model Test User Model:
##
## Test statistic 1274.218
## Degrees of freedom 852
## P-value (Chi-square) 0.000
## Test statistic for each group:
## Dr. Jart+ 42.511
## First Aid Beauty 46.651
## Shiseido 72.728
## MATTER OF FACT 38.951
## Kate Somerville 66.288
## Drunk Elephant 54.090
## Origins 48.971
## Sunday Riley 61.214
## Youth To The People 47.838
## IT Cosmetics 42.805
## MARA 70.899
## Peter Thomas Roth 30.097
## Naturally Serious 77.241
## Biossance 48.999
## Moon Juice 58.179
## fresh 57.478
## Paula's Choice 46.909
## The Outset 66.906
## iNNBEAUTY PROJECT 38.773
## CLINIQUE 48.264
## Alpyn Beauty 44.889
## Kiehl's Since 1851 33.253
## Caudalie 77.995
## KORA Organics 52.289
##
## Model Test Baseline Model:
##
## Test statistic 9652.300
## Degrees of freedom 864
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.952
## Tucker-Lewis Index (TLI) 0.951
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -10742.351
## Loglikelihood unrestricted model (H1) -10105.242
##
## Akaike (AIC) 22372.702
## Bayesian (BIC) 24624.857
## Sample-size adjusted Bayesian (SABIC) 23214.554
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.100
## 90 Percent confidence interval - lower 0.089
## 90 Percent confidence interval - upper 0.112
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 0.998
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.098
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
##
## Group 1 [Dr. Jart+]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.281 0.981
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.329 0.866
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.181 0.858
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.970 0.707
## Loyalty =~
## lylty_1 1.000 0.782 0.801
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.818 0.805
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.738 0.756
## Quality =~
## qulty_1 1.000 0.908 0.967
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.828 0.904
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.579 0.182 3.189 0.001 0.578 0.578
## Quality 0.688 0.201 3.419 0.001 0.592 0.592
## Loyalty ~~
## Quality 0.349 0.126 2.776 0.006 0.492 0.492
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.618
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.407
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.447
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.716
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.057
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.255
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.147
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 3.678
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 3.814
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.066 0.059 1.122 0.262 0.066 0.038
## .awareness_2 0.588 0.138 4.251 0.000 0.588 0.250
## .awareness_3 0.502 0.116 4.313 0.000 0.502 0.265
## .awrnss_4_rvrsd 0.942 0.199 4.730 0.000 0.942 0.500
## .loyalty_1 0.341 0.098 3.480 0.001 0.341 0.358
## .loyalty_2 0.363 0.106 3.441 0.001 0.363 0.352
## .loyalty_3 0.407 0.106 3.851 0.000 0.407 0.428
## .quality_1 0.057 0.056 1.019 0.308 0.057 0.065
## .quality_2 0.154 0.056 2.768 0.006 0.154 0.183
## Awareness 1.642 0.348 4.723 0.000 1.000 1.000
## Loyalty 0.611 0.152 4.021 0.000 1.000 1.000
## Quality 0.824 0.180 4.567 0.000 1.000 1.000
##
##
## Group 2 [First Aid Beauty]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.353 0.960
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.403 0.918
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.247 0.799
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 1.025 0.767
## Loyalty =~
## lylty_1 1.000 0.674 0.791
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.706 0.720
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.637 0.786
## Quality =~
## qulty_1 1.000 0.695 1.012
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.634 0.737
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.563 0.180 3.128 0.002 0.617 0.617
## Quality 0.463 0.161 2.867 0.004 0.492 0.492
## Loyalty ~~
## Quality 0.276 0.089 3.102 0.002 0.589 0.589
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.501
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.413
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.277
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.763
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.354
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.339
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.586
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 5.027
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.061
## Awarnss 0.473 0.283 1.673 0.094 0.350 0.350
## Loyalty -0.056 0.168 -0.331 0.740 -0.083 -0.083
## Quality -0.037 0.170 -0.214 0.830 -0.053 -0.053
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.154 0.079 1.952 0.051 0.154 0.078
## .awareness_2 0.365 0.113 3.239 0.001 0.365 0.156
## .awareness_3 0.880 0.207 4.242 0.000 0.880 0.361
## .awrnss_4_rvrsd 0.735 0.170 4.321 0.000 0.735 0.412
## .loyalty_1 0.272 0.081 3.334 0.001 0.272 0.374
## .loyalty_2 0.462 0.121 3.813 0.000 0.462 0.481
## .loyalty_3 0.251 0.074 3.379 0.001 0.251 0.382
## .quality_1 -0.011 0.054 -0.210 0.833 -0.011 -0.024
## .quality_2 0.338 0.086 3.947 0.000 0.338 0.457
## Awareness 1.831 0.415 4.409 0.000 1.000 1.000
## Loyalty 0.455 0.122 3.718 0.000 1.000 1.000
## Quality 0.483 0.117 4.143 0.000 1.000 1.000
##
##
## Group 3 [Shiseido]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.330 0.939
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.379 0.921
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.226 0.772
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 1.007 0.635
## Loyalty =~
## lylty_1 1.000 0.788 0.864
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.824 0.890
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.744 0.844
## Quality =~
## qulty_1 1.000 0.688 0.929
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.627 0.811
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.276 0.167 1.646 0.100 0.263 0.263
## Quality 0.510 0.161 3.179 0.001 0.558 0.558
## Loyalty ~~
## Quality 0.158 0.089 1.774 0.076 0.292 0.292
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.493
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.441
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.255
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.485
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.202
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.475
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.376
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.664
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.516
## Awarnss 0.703 0.272 2.588 0.010 0.528 0.528
## Loyalty -0.161 0.171 -0.938 0.348 -0.204 -0.204
## Quality 0.257 0.170 1.508 0.131 0.373 0.373
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.237 0.096 2.471 0.013 0.237 0.118
## .awareness_2 0.339 0.114 2.980 0.003 0.339 0.151
## .awareness_3 1.016 0.226 4.494 0.000 1.016 0.403
## .awrnss_4_rvrsd 1.503 0.317 4.745 0.000 1.503 0.597
## .loyalty_1 0.210 0.062 3.415 0.001 0.210 0.253
## .loyalty_2 0.178 0.060 2.977 0.003 0.178 0.207
## .loyalty_3 0.224 0.061 3.682 0.000 0.224 0.288
## .quality_1 0.075 0.053 1.415 0.157 0.075 0.137
## .quality_2 0.205 0.059 3.466 0.001 0.205 0.342
## Awareness 1.770 0.382 4.631 0.000 1.000 1.000
## Loyalty 0.621 0.141 4.414 0.000 1.000 1.000
## Quality 0.473 0.112 4.241 0.000 1.000 1.000
##
##
## Group 4 [MATTER OF FACT]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.011 0.966
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.048 0.933
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.931 0.955
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.765 0.511
## Loyalty =~
## lylty_1 1.000 0.778 0.855
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.814 0.847
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.735 0.741
## Quality =~
## qulty_1 1.000 0.605 0.885
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.552 0.857
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.673 0.153 4.398 0.000 0.856 0.856
## Quality 0.323 0.104 3.100 0.002 0.527 0.527
## Loyalty ~~
## Quality 0.295 0.087 3.395 0.001 0.626 0.626
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.021
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.920
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.042
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.573
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.205
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.383
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.114
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 5.047
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 5.422
## Awarnss -0.361 0.237 -1.528 0.127 -0.358 -0.358
## Loyalty -0.251 0.170 -1.476 0.140 -0.323 -0.323
## Quality -0.016 0.163 -0.097 0.923 -0.026 -0.026
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.073 0.026 2.798 0.005 0.073 0.066
## .awareness_2 0.165 0.041 3.998 0.000 0.165 0.130
## .awareness_3 0.084 0.025 3.346 0.001 0.084 0.088
## .awrnss_4_rvrsd 1.658 0.332 4.997 0.000 1.658 0.739
## .loyalty_1 0.223 0.061 3.634 0.000 0.223 0.269
## .loyalty_2 0.262 0.070 3.739 0.000 0.262 0.283
## .loyalty_3 0.442 0.100 4.442 0.000 0.442 0.450
## .quality_1 0.102 0.043 2.392 0.017 0.102 0.217
## .quality_2 0.110 0.038 2.904 0.004 0.110 0.266
## Awareness 1.022 0.209 4.885 0.000 1.000 1.000
## Loyalty 0.605 0.140 4.321 0.000 1.000 1.000
## Quality 0.367 0.085 4.292 0.000 1.000 1.000
##
##
## Group 5 [Kate Somerville]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.009 0.906
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.046 0.718
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.929 0.869
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.764 0.548
## Loyalty =~
## lylty_1 1.000 0.628 0.800
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.657 0.788
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.593 0.675
## Quality =~
## qulty_1 1.000 0.667 0.962
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.608 0.806
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.384 0.121 3.182 0.001 0.606 0.606
## Quality 0.407 0.121 3.361 0.001 0.605 0.605
## Loyalty ~~
## Quality 0.100 0.071 1.409 0.159 0.239 0.239
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.899
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.482
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.862
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.691
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.557
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.746
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.385
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.982
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.632
## Awarnss -0.313 0.243 -1.290 0.197 -0.310 -0.310
## Loyalty -0.422 0.160 -2.643 0.008 -0.672 -0.672
## Quality -0.067 0.167 -0.403 0.687 -0.101 -0.101
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.223 0.080 2.781 0.005 0.223 0.180
## .awareness_2 1.026 0.232 4.422 0.000 1.026 0.484
## .awareness_3 0.281 0.082 3.433 0.001 0.281 0.245
## .awrnss_4_rvrsd 1.358 0.288 4.710 0.000 1.358 0.700
## .loyalty_1 0.221 0.067 3.289 0.001 0.221 0.359
## .loyalty_2 0.264 0.077 3.423 0.001 0.264 0.380
## .loyalty_3 0.420 0.101 4.163 0.000 0.420 0.544
## .quality_1 0.036 0.044 0.802 0.423 0.036 0.074
## .quality_2 0.199 0.055 3.646 0.000 0.199 0.350
## Awareness 1.017 0.232 4.393 0.000 1.000 1.000
## Loyalty 0.394 0.101 3.902 0.000 1.000 1.000
## Quality 0.445 0.103 4.325 0.000 1.000 1.000
##
##
## Group 6 [Drunk Elephant]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.518 0.984
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.574 0.865
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.398 0.949
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 1.149 0.793
## Loyalty =~
## lylty_1 1.000 0.816 0.812
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.854 0.810
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.771 0.763
## Quality =~
## qulty_1 1.000 0.891 0.964
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.812 0.892
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.603 0.210 2.880 0.004 0.487 0.487
## Quality 0.607 0.215 2.828 0.005 0.449 0.449
## Loyalty ~~
## Quality 0.316 0.123 2.575 0.010 0.435 0.435
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.371
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.186
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.351
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.625
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 1.995
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.173
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.073
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 3.737
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 3.835
## Awarnss 0.276 0.285 0.966 0.334 0.182 0.182
## Loyalty -0.299 0.176 -1.700 0.089 -0.366 -0.366
## Quality 0.047 0.186 0.254 0.800 0.053 0.053
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.076 0.054 1.426 0.154 0.076 0.032
## .awareness_2 0.832 0.179 4.660 0.000 0.832 0.252
## .awareness_3 0.218 0.062 3.494 0.000 0.218 0.100
## .awrnss_4_rvrsd 0.780 0.161 4.842 0.000 0.780 0.371
## .loyalty_1 0.345 0.099 3.494 0.000 0.345 0.341
## .loyalty_2 0.382 0.109 3.511 0.000 0.382 0.344
## .loyalty_3 0.427 0.108 3.939 0.000 0.427 0.418
## .quality_1 0.060 0.061 0.990 0.322 0.060 0.071
## .quality_2 0.170 0.060 2.827 0.005 0.170 0.205
## Awareness 2.303 0.467 4.927 0.000 1.000 1.000
## Loyalty 0.667 0.159 4.181 0.000 1.000 1.000
## Quality 0.794 0.171 4.653 0.000 1.000 1.000
##
##
## Group 7 [Origins]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.225 0.939
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.270 0.907
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.129 0.888
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.928 0.698
## Loyalty =~
## lylty_1 1.000 0.764 0.931
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.800 0.795
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.722 0.806
## Quality =~
## qulty_1 1.000 0.710 0.971
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.648 0.822
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.400 0.152 2.629 0.009 0.428 0.428
## Quality 0.359 0.138 2.596 0.009 0.413 0.413
## Loyalty ~~
## Quality 0.185 0.086 2.158 0.031 0.341 0.341
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.621
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.540
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.568
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.774
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.443
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.279
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.340
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.721
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.437
## Awarnss 0.465 0.258 1.804 0.071 0.380 0.380
## Loyalty -0.081 0.167 -0.486 0.627 -0.106 -0.106
## Quality 0.211 0.169 1.247 0.212 0.296 0.296
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.202 0.071 2.837 0.005 0.202 0.119
## .awareness_2 0.349 0.096 3.644 0.000 0.349 0.178
## .awareness_3 0.341 0.087 3.931 0.000 0.341 0.211
## .awrnss_4_rvrsd 0.904 0.189 4.779 0.000 0.904 0.512
## .loyalty_1 0.090 0.046 1.980 0.048 0.090 0.134
## .loyalty_2 0.371 0.090 4.145 0.000 0.371 0.367
## .loyalty_3 0.281 0.069 4.061 0.000 0.281 0.350
## .quality_1 0.031 0.050 0.617 0.537 0.031 0.057
## .quality_2 0.201 0.057 3.515 0.000 0.201 0.324
## Awareness 1.500 0.316 4.754 0.000 1.000 1.000
## Loyalty 0.584 0.129 4.530 0.000 1.000 1.000
## Quality 0.505 0.112 4.489 0.000 1.000 1.000
##
##
## Group 8 [Sunday Riley]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.375 0.976
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.426 0.950
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.267 0.854
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 1.041 0.773
## Loyalty =~
## lylty_1 1.000 0.796 0.873
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.832 0.866
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.751 0.834
## Quality =~
## qulty_1 1.000 0.692 0.953
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.631 0.886
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.754 0.194 3.890 0.000 0.689 0.689
## Quality 0.633 0.164 3.851 0.000 0.665 0.665
## Loyalty ~~
## Quality 0.345 0.097 3.573 0.000 0.626 0.626
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.500
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.437
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.342
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.749
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.202
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.385
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.325
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.755
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.902
## Awarnss 0.322 0.270 1.194 0.232 0.234 0.234
## Loyalty -0.121 0.170 -0.712 0.477 -0.152 -0.152
## Quality 0.053 0.167 0.317 0.751 0.077 0.077
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.095 0.048 1.973 0.048 0.095 0.048
## .awareness_2 0.221 0.066 3.361 0.001 0.221 0.098
## .awareness_3 0.597 0.127 4.684 0.000 0.597 0.271
## .awrnss_4_rvrsd 0.730 0.150 4.876 0.000 0.730 0.402
## .loyalty_1 0.198 0.057 3.455 0.001 0.198 0.238
## .loyalty_2 0.230 0.065 3.554 0.000 0.230 0.249
## .loyalty_3 0.247 0.063 3.938 0.000 0.247 0.305
## .quality_1 0.048 0.033 1.439 0.150 0.048 0.091
## .quality_2 0.109 0.034 3.195 0.001 0.109 0.215
## Awareness 1.891 0.383 4.941 0.000 1.000 1.000
## Loyalty 0.633 0.140 4.512 0.000 1.000 1.000
## Quality 0.480 0.103 4.669 0.000 1.000 1.000
##
##
## Group 9 [Youth To The People]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.226 1.009
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.271 0.896
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.129 0.956
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.928 0.757
## Loyalty =~
## lylty_1 1.000 0.592 0.776
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.619 0.734
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.559 0.749
## Quality =~
## qulty_1 1.000 0.708 0.961
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.646 0.879
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.482 0.132 3.636 0.000 0.664 0.664
## Quality 0.427 0.139 3.073 0.002 0.492 0.492
## Loyalty ~~
## Quality 0.153 0.072 2.131 0.033 0.365 0.365
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.740
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.521
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.686
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.921
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.631
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.718
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.808
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.687
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.754
## Awarnss -0.053 0.254 -0.207 0.836 -0.043 -0.043
## Loyalty -0.360 0.155 -2.323 0.020 -0.609 -0.609
## Quality -0.183 0.170 -1.080 0.280 -0.259 -0.259
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 -0.026 0.018 -1.445 0.148 -0.026 -0.018
## .awareness_2 0.398 0.079 5.041 0.000 0.398 0.198
## .awareness_3 0.120 0.027 4.393 0.000 0.120 0.086
## .awrnss_4_rvrsd 0.643 0.126 5.108 0.000 0.643 0.427
## .loyalty_1 0.232 0.064 3.619 0.000 0.232 0.398
## .loyalty_2 0.328 0.083 3.942 0.000 0.328 0.461
## .loyalty_3 0.245 0.064 3.841 0.000 0.245 0.439
## .quality_1 0.041 0.041 1.000 0.317 0.041 0.076
## .quality_2 0.123 0.042 2.945 0.003 0.123 0.228
## Awareness 1.502 0.295 5.091 0.000 1.000 1.000
## Loyalty 0.350 0.089 3.926 0.000 1.000 1.000
## Quality 0.502 0.110 4.566 0.000 1.000 1.000
##
##
## Group 10 [IT Cosmetics]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.406 0.974
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.458 0.942
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.295 0.902
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 1.065 0.686
## Loyalty =~
## lylty_1 1.000 0.775 0.929
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.811 0.888
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.732 0.820
## Quality =~
## qulty_1 1.000 0.839 0.991
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.765 0.925
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.447 0.173 2.582 0.010 0.410 0.410
## Quality 0.618 0.190 3.252 0.001 0.524 0.524
## Loyalty ~~
## Quality 0.209 0.100 2.088 0.037 0.321 0.321
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.465
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.394
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.386
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.518
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.405
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.511
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.348
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.077
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.221
## Awarnss 1.049 0.274 3.823 0.000 0.746 0.746
## Loyalty -0.227 0.167 -1.357 0.175 -0.293 -0.293
## Quality 0.092 0.179 0.514 0.607 0.110 0.110
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.106 0.053 1.984 0.047 0.106 0.051
## .awareness_2 0.272 0.077 3.542 0.000 0.272 0.114
## .awareness_3 0.386 0.090 4.303 0.000 0.386 0.187
## .awrnss_4_rvrsd 1.277 0.260 4.911 0.000 1.277 0.530
## .loyalty_1 0.096 0.039 2.440 0.015 0.096 0.137
## .loyalty_2 0.175 0.052 3.377 0.001 0.175 0.211
## .loyalty_3 0.261 0.062 4.208 0.000 0.261 0.328
## .quality_1 0.013 0.039 0.334 0.738 0.013 0.018
## .quality_2 0.099 0.038 2.615 0.009 0.099 0.145
## Awareness 1.977 0.404 4.887 0.000 1.000 1.000
## Loyalty 0.600 0.130 4.623 0.000 1.000 1.000
## Quality 0.704 0.146 4.838 0.000 1.000 1.000
##
##
## Group 11 [MARA]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.789 0.934
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 0.818 0.913
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.727 0.931
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.598 0.426
## Loyalty =~
## lylty_1 1.000 0.737 0.922
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.772 0.801
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.696 0.942
## Quality =~
## qulty_1 1.000 0.686 0.958
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.626 0.870
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.508 0.116 4.391 0.000 0.872 0.872
## Quality 0.205 0.088 2.325 0.020 0.378 0.378
## Loyalty ~~
## Quality 0.202 0.083 2.426 0.015 0.399 0.399
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.502
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 2.407
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.550
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.680
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.510
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.377
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.834
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.819
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.859
## Awarnss -0.511 0.221 -2.307 0.021 -0.647 -0.647
## Loyalty -0.461 0.166 -2.782 0.005 -0.625 -0.625
## Quality -0.182 0.169 -1.078 0.281 -0.266 -0.266
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.091 0.028 3.295 0.001 0.091 0.128
## .awareness_2 0.134 0.036 3.735 0.000 0.134 0.167
## .awareness_3 0.081 0.024 3.367 0.001 0.081 0.133
## .awrnss_4_rvrsd 1.609 0.332 4.850 0.000 1.609 0.818
## .loyalty_1 0.095 0.029 3.254 0.001 0.095 0.149
## .loyalty_2 0.334 0.075 4.426 0.000 0.334 0.359
## .loyalty_3 0.062 0.023 2.695 0.007 0.062 0.113
## .quality_1 0.043 0.044 0.971 0.331 0.043 0.083
## .quality_2 0.125 0.044 2.855 0.004 0.125 0.242
## Awareness 0.623 0.134 4.638 0.000 1.000 1.000
## Loyalty 0.544 0.120 4.550 0.000 1.000 1.000
## Quality 0.471 0.106 4.429 0.000 1.000 1.000
##
##
## Group 12 [Peter Thomas Roth]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.295 0.967
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.342 0.963
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.193 0.953
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.980 0.660
## Loyalty =~
## lylty_1 1.000 0.731 0.925
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.765 0.781
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.690 0.787
## Quality =~
## qulty_1 1.000 0.885 0.992
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.807 0.869
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.593 0.171 3.470 0.001 0.627 0.627
## Quality 0.373 0.179 2.082 0.037 0.325 0.325
## Loyalty ~~
## Quality 0.280 0.108 2.585 0.010 0.432 0.432
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.580
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.548
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.592
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.586
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.539
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.339
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.388
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 3.871
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 3.764
## Awarnss -0.005 0.268 -0.019 0.985 -0.004 -0.004
## Loyalty -0.365 0.167 -2.186 0.029 -0.500 -0.500
## Quality -0.046 0.187 -0.245 0.806 -0.052 -0.052
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.117 0.040 2.927 0.003 0.117 0.065
## .awareness_2 0.141 0.045 3.125 0.002 0.141 0.072
## .awareness_3 0.143 0.040 3.528 0.000 0.143 0.091
## .awrnss_4_rvrsd 1.246 0.262 4.752 0.000 1.246 0.565
## .loyalty_1 0.090 0.044 2.055 0.040 0.090 0.145
## .loyalty_2 0.375 0.092 4.065 0.000 0.375 0.391
## .loyalty_3 0.294 0.073 4.029 0.000 0.294 0.381
## .quality_1 0.013 0.063 0.205 0.837 0.013 0.016
## .quality_2 0.211 0.068 3.087 0.002 0.211 0.245
## Awareness 1.676 0.355 4.714 0.000 1.000 1.000
## Loyalty 0.534 0.124 4.308 0.000 1.000 1.000
## Quality 0.783 0.174 4.501 0.000 1.000 1.000
##
##
## Group 13 [Naturally Serious]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.847 0.851
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 0.878 0.931
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.780 0.931
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.641 0.523
## Loyalty =~
## lylty_1 1.000 0.728 0.966
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.762 0.917
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.688 0.885
## Quality =~
## qulty_1 1.000 0.509 0.785
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.464 0.940
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.289 0.106 2.725 0.006 0.468 0.468
## Quality 0.141 0.073 1.929 0.054 0.326 0.326
## Loyalty ~~
## Quality 0.074 0.061 1.229 0.219 0.200 0.200
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.124
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 2.289
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.376
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.920
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.661
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.758
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.696
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 5.319
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 7.071
## Awarnss -0.440 0.229 -1.923 0.055 -0.519 -0.519
## Loyalty -0.356 0.166 -2.140 0.032 -0.488 -0.488
## Quality -0.329 0.157 -2.098 0.036 -0.646 -0.646
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.274 0.069 3.994 0.000 0.274 0.276
## .awareness_2 0.118 0.043 2.743 0.006 0.118 0.132
## .awareness_3 0.094 0.034 2.763 0.006 0.094 0.134
## .awrnss_4_rvrsd 1.094 0.236 4.640 0.000 1.094 0.727
## .loyalty_1 0.038 0.022 1.765 0.078 0.038 0.067
## .loyalty_2 0.110 0.032 3.395 0.001 0.110 0.159
## .loyalty_3 0.131 0.034 3.902 0.000 0.131 0.217
## .quality_1 0.162 0.048 3.349 0.001 0.162 0.384
## .quality_2 0.028 0.029 0.974 0.330 0.028 0.116
## Awareness 0.717 0.161 4.448 0.000 1.000 1.000
## Loyalty 0.531 0.117 4.519 0.000 1.000 1.000
## Quality 0.259 0.065 3.980 0.000 1.000 1.000
##
##
## Group 14 [Biossance]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.999 0.969
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.036 0.841
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.921 0.862
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.757 0.530
## Loyalty =~
## lylty_1 1.000 0.751 0.792
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.785 0.880
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.709 0.789
## Quality =~
## qulty_1 1.000 0.787 0.958
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.718 0.891
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.241 0.125 1.926 0.054 0.321 0.321
## Quality 0.410 0.135 3.028 0.002 0.521 0.521
## Loyalty ~~
## Quality 0.270 0.103 2.612 0.009 0.457 0.457
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.050
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.752
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.865
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.651
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.116
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.566
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.332
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.203
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.336
## Awarnss -0.383 0.240 -1.598 0.110 -0.384 -0.384
## Loyalty -0.353 0.171 -2.072 0.038 -0.471 -0.471
## Quality -0.056 0.179 -0.310 0.756 -0.071 -0.071
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.065 0.047 1.377 0.169 0.065 0.061
## .awareness_2 0.444 0.107 4.156 0.000 0.444 0.293
## .awareness_3 0.293 0.074 3.979 0.000 0.293 0.257
## .awrnss_4_rvrsd 1.464 0.308 4.759 0.000 1.464 0.719
## .loyalty_1 0.335 0.090 3.747 0.000 0.335 0.373
## .loyalty_2 0.180 0.068 2.643 0.008 0.180 0.226
## .loyalty_3 0.304 0.081 3.767 0.000 0.304 0.377
## .quality_1 0.056 0.048 1.156 0.248 0.056 0.082
## .quality_2 0.134 0.048 2.809 0.005 0.134 0.206
## Awareness 0.998 0.217 4.596 0.000 1.000 1.000
## Loyalty 0.563 0.136 4.153 0.000 1.000 1.000
## Quality 0.620 0.139 4.455 0.000 1.000 1.000
##
##
## Group 15 [Moon Juice]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.963 0.952
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 0.998 0.929
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.887 0.955
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.729 0.558
## Loyalty =~
## lylty_1 1.000 0.688 0.860
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.720 0.834
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.650 0.838
## Quality =~
## qulty_1 1.000 0.622 0.903
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.567 0.742
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.466 0.119 3.915 0.000 0.703 0.703
## Quality 0.075 0.092 0.811 0.418 0.125 0.125
## Loyalty ~~
## Quality 0.068 0.069 0.984 0.325 0.159 0.159
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.092
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 2.010
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.146
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.805
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.509
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.652
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.700
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 5.016
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.574
## Awarnss -0.523 0.232 -2.254 0.024 -0.543 -0.543
## Loyalty -0.432 0.160 -2.695 0.007 -0.627 -0.627
## Quality -0.374 0.164 -2.285 0.022 -0.602 -0.602
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.095 0.030 3.204 0.001 0.095 0.093
## .awareness_2 0.157 0.040 3.901 0.000 0.157 0.136
## .awareness_3 0.075 0.024 3.070 0.002 0.075 0.087
## .awrnss_4_rvrsd 1.173 0.234 5.018 0.000 1.173 0.688
## .loyalty_1 0.166 0.048 3.464 0.001 0.166 0.260
## .loyalty_2 0.228 0.060 3.798 0.000 0.228 0.305
## .loyalty_3 0.180 0.048 3.754 0.000 0.180 0.298
## .quality_1 0.087 0.062 1.408 0.159 0.087 0.184
## .quality_2 0.262 0.071 3.670 0.000 0.262 0.449
## Awareness 0.926 0.189 4.905 0.000 1.000 1.000
## Loyalty 0.474 0.107 4.447 0.000 1.000 1.000
## Quality 0.387 0.097 3.998 0.000 1.000 1.000
##
##
## Group 16 [fresh]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.248 0.965
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.294 0.926
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.150 0.945
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.945 0.569
## Loyalty =~
## lylty_1 1.000 0.871 0.864
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.912 0.886
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.823 0.897
## Quality =~
## qulty_1 1.000 0.755 0.945
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.689 0.904
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.542 0.176 3.081 0.002 0.498 0.498
## Quality 0.224 0.140 1.598 0.110 0.238 0.238
## Loyalty ~~
## Quality 0.262 0.105 2.506 0.012 0.399 0.399
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.635
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.544
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.637
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.417
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 1.990
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.225
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.283
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.321
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.585
## Awarnss -0.007 0.256 -0.027 0.979 -0.006 -0.006
## Loyalty -0.080 0.176 -0.457 0.648 -0.092 -0.092
## Quality -0.082 0.172 -0.473 0.636 -0.108 -0.108
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.115 0.044 2.595 0.009 0.115 0.069
## .awareness_2 0.277 0.069 4.002 0.000 0.277 0.142
## .awareness_3 0.158 0.045 3.487 0.000 0.158 0.107
## .awrnss_4_rvrsd 1.871 0.369 5.065 0.000 1.871 0.677
## .loyalty_1 0.257 0.067 3.817 0.000 0.257 0.253
## .loyalty_2 0.229 0.066 3.488 0.000 0.229 0.216
## .loyalty_3 0.165 0.050 3.274 0.001 0.165 0.196
## .quality_1 0.068 0.048 1.423 0.155 0.068 0.107
## .quality_2 0.106 0.044 2.441 0.015 0.106 0.183
## Awareness 1.558 0.314 4.963 0.000 1.000 1.000
## Loyalty 0.759 0.163 4.645 0.000 1.000 1.000
## Quality 0.571 0.121 4.700 0.000 1.000 1.000
##
##
## Group 17 [Paula's Choice]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.409 0.996
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.461 0.881
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.298 0.939
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 1.067 0.821
## Loyalty =~
## lylty_1 1.000 0.920 0.886
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.963 0.912
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.869 0.815
## Quality =~
## qulty_1 1.000 0.813 0.946
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.741 0.891
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 1.043 0.248 4.204 0.000 0.804 0.804
## Quality 0.563 0.191 2.949 0.003 0.491 0.491
## Loyalty ~~
## Quality 0.320 0.126 2.534 0.011 0.428 0.428
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.495
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.302
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.440
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.812
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 1.931
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.169
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 1.964
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.017
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.196
## Awarnss 0.307 0.277 1.106 0.269 0.218 0.218
## Loyalty -0.134 0.186 -0.723 0.470 -0.146 -0.146
## Quality 0.199 0.182 1.094 0.274 0.244 0.244
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.016 0.035 0.457 0.648 0.016 0.008
## .awareness_2 0.613 0.132 4.647 0.000 0.613 0.223
## .awareness_3 0.228 0.055 4.110 0.000 0.228 0.119
## .awrnss_4_rvrsd 0.552 0.116 4.781 0.000 0.552 0.327
## .loyalty_1 0.232 0.067 3.454 0.001 0.232 0.215
## .loyalty_2 0.189 0.064 2.968 0.003 0.189 0.169
## .loyalty_3 0.383 0.092 4.145 0.000 0.383 0.336
## .quality_1 0.078 0.058 1.350 0.177 0.078 0.105
## .quality_2 0.143 0.055 2.627 0.009 0.143 0.207
## Awareness 1.986 0.409 4.852 0.000 1.000 1.000
## Loyalty 0.847 0.191 4.424 0.000 1.000 1.000
## Quality 0.661 0.149 4.451 0.000 1.000 1.000
##
##
## Group 18 [The Outset]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.838 0.930
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 0.869 0.959
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.772 0.942
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.635 0.364
## Loyalty =~
## lylty_1 1.000 0.467 0.858
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.489 0.803
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.441 0.899
## Quality =~
## qulty_1 1.000 0.927 1.064
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.845 0.895
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.204 0.068 3.017 0.003 0.521 0.521
## Quality 0.282 0.109 2.589 0.010 0.363 0.363
## Loyalty ~~
## Quality 0.106 0.060 1.764 0.078 0.245 0.245
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.347
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 2.382
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.429
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.351
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 3.684
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 3.762
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 4.267
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 3.967
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 3.703
## Awarnss -0.552 0.225 -2.454 0.014 -0.659 -0.659
## Loyalty -0.758 0.143 -5.296 0.000 -1.623 -1.623
## Quality -0.416 0.180 -2.314 0.021 -0.449 -0.449
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.109 0.030 3.649 0.000 0.109 0.135
## .awareness_2 0.066 0.025 2.661 0.008 0.066 0.080
## .awareness_3 0.076 0.023 3.339 0.001 0.076 0.113
## .awrnss_4_rvrsd 2.638 0.541 4.872 0.000 2.638 0.868
## .loyalty_1 0.078 0.023 3.411 0.001 0.078 0.264
## .loyalty_2 0.132 0.033 3.971 0.000 0.132 0.356
## .loyalty_3 0.046 0.017 2.718 0.007 0.046 0.192
## .quality_1 -0.101 0.046 -2.200 0.028 -0.101 -0.133
## .quality_2 0.176 0.050 3.560 0.000 0.176 0.198
## Awareness 0.702 0.149 4.703 0.000 1.000 1.000
## Loyalty 0.218 0.050 4.343 0.000 1.000 1.000
## Quality 0.859 0.174 4.924 0.000 1.000 1.000
##
##
## Group 19 [iNNBEAUTY PROJECT]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.789 0.916
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 0.818 0.922
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.727 0.876
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.598 0.461
## Loyalty =~
## lylty_1 1.000 0.675 0.919
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.707 0.733
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.638 0.847
## Quality =~
## qulty_1 1.000 0.728 0.890
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.663 0.876
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.316 0.094 3.346 0.001 0.593 0.593
## Quality 0.115 0.092 1.253 0.210 0.201 0.201
## Loyalty ~~
## Quality 0.110 0.081 1.370 0.171 0.225 0.225
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.454
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 2.431
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.400
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.817
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.731
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.376
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.782
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.224
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 4.610
## Awarnss -0.544 0.221 -2.461 0.014 -0.690 -0.690
## Loyalty -0.398 0.160 -2.484 0.013 -0.589 -0.589
## Quality -0.261 0.174 -1.494 0.135 -0.358 -0.358
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.120 0.038 3.192 0.001 0.120 0.161
## .awareness_2 0.118 0.039 3.046 0.002 0.118 0.150
## .awareness_3 0.160 0.041 3.862 0.000 0.160 0.232
## .awrnss_4_rvrsd 1.324 0.272 4.865 0.000 1.324 0.788
## .loyalty_1 0.084 0.038 2.226 0.026 0.084 0.155
## .loyalty_2 0.431 0.098 4.372 0.000 0.431 0.463
## .loyalty_3 0.160 0.045 3.551 0.000 0.160 0.283
## .quality_1 0.139 0.067 2.075 0.038 0.139 0.208
## .quality_2 0.134 0.057 2.337 0.019 0.134 0.233
## Awareness 0.623 0.135 4.616 0.000 1.000 1.000
## Loyalty 0.456 0.103 4.409 0.000 1.000 1.000
## Quality 0.529 0.124 4.275 0.000 1.000 1.000
##
##
## Group 20 [CLINIQUE]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.375 0.821
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 0.388 0.802
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.345 0.433
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.284 0.300
## Loyalty =~
## lylty_1 1.000 0.987 0.858
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 1.032 0.854
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.932 0.852
## Quality =~
## qulty_1 1.000 0.660 0.987
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.601 0.938
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.107 0.065 1.659 0.097 0.291 0.291
## Quality 0.072 0.041 1.749 0.080 0.293 0.293
## Loyalty ~~
## Quality 0.321 0.111 2.897 0.004 0.494 0.494
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 4.636
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 4.455
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.502
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 2.490
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 1.745
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 1.896
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 1.916
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 5.168
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 5.452
## Awarnss 2.532 0.198 12.806 0.000 6.760 6.760
## Loyalty 0.459 0.195 2.351 0.019 0.465 0.465
## Quality 0.671 0.165 4.058 0.000 1.018 1.018
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.068 0.024 2.801 0.005 0.068 0.326
## .awareness_2 0.084 0.027 3.052 0.002 0.084 0.357
## .awareness_3 0.515 0.110 4.683 0.000 0.515 0.812
## .awrnss_4_rvrsd 0.815 0.170 4.808 0.000 0.815 0.910
## .loyalty_1 0.348 0.104 3.363 0.001 0.348 0.263
## .loyalty_2 0.395 0.116 3.416 0.001 0.395 0.270
## .loyalty_3 0.327 0.095 3.441 0.001 0.327 0.274
## .quality_1 0.012 0.024 0.478 0.633 0.012 0.026
## .quality_2 0.049 0.022 2.198 0.028 0.049 0.119
## Awareness 0.140 0.036 3.892 0.000 1.000 1.000
## Loyalty 0.973 0.226 4.315 0.000 1.000 1.000
## Quality 0.435 0.093 4.701 0.000 1.000 1.000
##
##
## Group 21 [Alpyn Beauty]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 0.905 0.928
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 0.938 0.908
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 0.834 0.970
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.685 0.585
## Loyalty =~
## lylty_1 1.000 0.870 0.830
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.910 0.915
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.821 0.878
## Quality =~
## qulty_1 1.000 0.655 0.985
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.597 0.875
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.541 0.139 3.902 0.000 0.688 0.688
## Quality 0.368 0.099 3.714 0.000 0.621 0.621
## Loyalty ~~
## Quality 0.291 0.093 3.128 0.002 0.511 0.511
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 2.170
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 2.089
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 2.318
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 2.013
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 1.914
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.304
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.240
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 5.194
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 5.121
## Awarnss -0.480 0.227 -2.111 0.035 -0.530 -0.530
## Loyalty -0.078 0.177 -0.442 0.659 -0.090 -0.090
## Quality -0.039 0.163 -0.236 0.813 -0.059 -0.059
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.131 0.034 3.823 0.000 0.131 0.138
## .awareness_2 0.187 0.045 4.184 0.000 0.187 0.175
## .awareness_3 0.043 0.020 2.156 0.031 0.043 0.059
## .awrnss_4_rvrsd 0.900 0.180 5.008 0.000 0.900 0.657
## .loyalty_1 0.342 0.082 4.151 0.000 0.342 0.312
## .loyalty_2 0.161 0.056 2.868 0.004 0.161 0.163
## .loyalty_3 0.200 0.056 3.599 0.000 0.200 0.229
## .quality_1 0.013 0.029 0.461 0.644 0.013 0.030
## .quality_2 0.109 0.032 3.417 0.001 0.109 0.234
## Awareness 0.819 0.167 4.899 0.000 1.000 1.000
## Loyalty 0.756 0.165 4.589 0.000 1.000 1.000
## Quality 0.429 0.090 4.780 0.000 1.000 1.000
##
##
## Group 22 [Kiehl's Since 1851]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.520 0.975
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.576 0.988
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.400 0.913
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 1.151 0.636
## Loyalty =~
## lylty_1 1.000 0.790 0.786
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.826 0.867
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.746 0.842
## Quality =~
## qulty_1 1.000 0.894 0.990
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.815 0.897
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.766 0.215 3.564 0.000 0.639 0.639
## Quality 0.692 0.221 3.134 0.002 0.509 0.509
## Loyalty ~~
## Quality 0.406 0.123 3.291 0.001 0.576 0.576
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.357
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.353
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.299
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.302
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 1.997
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.403
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.366
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 3.827
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 3.848
## Awarnss 0.642 0.288 2.226 0.026 0.422 0.422
## Loyalty -0.129 0.173 -0.749 0.454 -0.164 -0.164
## Quality 0.141 0.186 0.758 0.449 0.158 0.158
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.118 0.043 2.771 0.006 0.118 0.049
## .awareness_2 0.059 0.040 1.502 0.133 0.059 0.023
## .awareness_3 0.391 0.086 4.546 0.000 0.391 0.166
## .awrnss_4_rvrsd 1.951 0.398 4.900 0.000 1.951 0.596
## .loyalty_1 0.386 0.096 4.024 0.000 0.386 0.382
## .loyalty_2 0.226 0.071 3.190 0.001 0.226 0.249
## .loyalty_3 0.228 0.065 3.522 0.000 0.228 0.291
## .quality_1 0.016 0.050 0.319 0.749 0.016 0.020
## .quality_2 0.161 0.053 3.048 0.002 0.161 0.195
## Awareness 2.309 0.475 4.863 0.000 1.000 1.000
## Loyalty 0.624 0.146 4.271 0.000 1.000 1.000
## Quality 0.799 0.170 4.699 0.000 1.000 1.000
##
##
## Group 23 [Caudalie]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.310 0.993
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.358 0.932
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.207 0.964
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.992 0.728
## Loyalty =~
## lylty_1 1.000 0.775 0.865
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.811 0.843
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.732 0.888
## Quality =~
## qulty_1 1.000 1.027 1.012
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.936 0.922
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.578 0.175 3.309 0.001 0.569 0.569
## Quality 0.552 0.206 2.675 0.007 0.410 0.410
## Loyalty ~~
## Quality 0.445 0.134 3.308 0.001 0.558 0.558
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.603
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.481
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.590
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.728
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.238
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.382
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.542
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 3.401
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 3.441
## Awarnss -0.099 0.266 -0.374 0.709 -0.076 -0.076
## Loyalty -0.261 0.170 -1.534 0.125 -0.336 -0.336
## Quality 0.099 0.198 0.502 0.616 0.097 0.097
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.025 0.025 0.985 0.325 0.025 0.014
## .awareness_2 0.277 0.063 4.407 0.000 0.277 0.131
## .awareness_3 0.112 0.031 3.591 0.000 0.112 0.071
## .awrnss_4_rvrsd 0.874 0.179 4.884 0.000 0.874 0.471
## .loyalty_1 0.203 0.058 3.526 0.000 0.203 0.253
## .loyalty_2 0.267 0.071 3.778 0.000 0.267 0.289
## .loyalty_3 0.143 0.045 3.155 0.002 0.143 0.211
## .quality_1 -0.024 0.052 -0.459 0.646 -0.024 -0.023
## .quality_2 0.154 0.053 2.890 0.004 0.154 0.149
## Awareness 1.716 0.351 4.889 0.000 1.000 1.000
## Loyalty 0.601 0.136 4.410 0.000 1.000 1.000
## Quality 1.055 0.218 4.849 0.000 1.000 1.000
##
##
## Group 24 [KORA Organics]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness =~
## awrns_1 1.000 1.231 0.950
## awrns_2 (.p2.) 1.037 0.012 85.571 0.000 1.277 0.969
## awrns_3 (.p3.) 0.921 0.012 76.245 0.000 1.134 0.954
## awrn_4_ (.p4.) 0.757 0.022 33.913 0.000 0.932 0.741
## Loyalty =~
## lylty_1 1.000 0.862 0.926
## lylty_2 (.p6.) 1.046 0.028 37.967 0.000 0.902 0.882
## lylty_3 (.p7.) 0.944 0.025 37.890 0.000 0.814 0.811
## Quality =~
## qulty_1 1.000 0.657 0.940
## qulty_2 (.p9.) 0.912 0.024 37.792 0.000 0.599 0.906
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Awareness ~~
## Loyalty 0.850 0.199 4.262 0.000 0.801 0.801
## Quality 0.456 0.137 3.333 0.001 0.564 0.564
## Loyalty ~~
## Quality 0.308 0.097 3.167 0.002 0.544 0.544
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awrns_1 (.25.) 2.115 0.188 11.256 0.000 2.115 1.632
## .awrns_2 (.26.) 2.158 0.195 11.050 0.000 2.158 1.638
## .awrns_3 (.27.) 1.992 0.174 11.478 0.000 1.992 1.675
## .awrn_4_ (.28.) 2.356 0.145 16.222 0.000 2.356 1.873
## .lylty_1 (.29.) 2.006 0.124 16.168 0.000 2.006 2.155
## .lylty_2 (.30.) 2.291 0.130 17.641 0.000 2.291 2.241
## .lylty_3 (.31.) 2.095 0.117 17.842 0.000 2.095 2.087
## .qulty_1 (.32.) 3.454 0.135 25.673 0.000 3.454 4.940
## .qulty_2 (.33.) 3.493 0.123 28.417 0.000 3.493 5.284
## Awarnss -0.144 0.258 -0.558 0.577 -0.117 -0.117
## Loyalty -0.245 0.177 -1.383 0.167 -0.285 -0.285
## Quality -0.147 0.166 -0.885 0.376 -0.223 -0.223
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .awareness_1 0.163 0.044 3.707 0.000 0.163 0.097
## .awareness_2 0.106 0.037 2.872 0.004 0.106 0.061
## .awareness_3 0.126 0.035 3.568 0.000 0.126 0.089
## .awrnss_4_rvrsd 0.713 0.147 4.841 0.000 0.713 0.451
## .loyalty_1 0.124 0.045 2.741 0.006 0.124 0.143
## .loyalty_2 0.232 0.064 3.639 0.000 0.232 0.222
## .loyalty_3 0.345 0.080 4.289 0.000 0.345 0.342
## .quality_1 0.057 0.034 1.672 0.095 0.057 0.117
## .quality_2 0.078 0.031 2.524 0.012 0.078 0.179
## Awareness 1.516 0.312 4.852 0.000 1.000 1.000
## Loyalty 0.743 0.163 4.559 0.000 1.000 1.000
## Quality 0.432 0.095 4.563 0.000 1.000 1.000##
## Chi-Squared Difference Test
##
## Df AIC BIC Chisq Chisq diff RMSEA Df diff Pr(>Chisq)
## configural_model 576 22557 26209 906.59
## metric_model 714 22470 25422 1095.43 188.84 0.086599 138 0.002652
## scalar_model 852 22373 24625 1274.22 178.79 0.077569 138 0.011089
##
## configural_model
## metric_model **
## scalar_model *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## cfi tli rmsea srmr
## 0.962 0.944 0.108 0.065## cfi tli rmsea srmr
## 0.957 0.947 0.104 0.092## cfi tli rmsea srmr
## 0.952 0.951 0.100 0.098Exploratory Factor Analysis
## Warning: package 'GPArotation' was built under R version 4.3.3##
## Attaching package: 'GPArotation'## The following objects are masked from 'package:psych':
##
## equamax, varimin
## Parallel analysis suggests that the number of factors = 3 and the number of components = NA## Factor Analysis using method = ml
## Call: fa(r = efa_data, nfactors = 3, rotate = "varimax", fm = "ml")
## Standardized loadings (pattern matrix) based upon correlation matrix
## ML2 ML3 ML1 h2 u2 com
## awareness_1 0.91 0.95 0.054 1.3
## awareness_2 0.87 0.86 0.135 1.3
## awareness_3 0.84 0.31 0.84 0.160 1.4
## awareness_4_reversed 0.64 0.44 0.561 1.2
## loyalty_1 0.35 0.79 0.76 0.241 1.4
## loyalty_2 0.79 0.73 0.275 1.3
## loyalty_3 0.81 0.70 0.300 1.1
## quality_1 0.79 0.75 0.253 1.4
## quality_2 0.96 1.00 0.005 1.1
##
## ML2 ML3 ML1
## SS loadings 3.01 2.21 1.80
## Proportion Var 0.33 0.25 0.20
## Cumulative Var 0.33 0.58 0.78
## Proportion Explained 0.43 0.32 0.26
## Cumulative Proportion 0.43 0.74 1.00
##
## Mean item complexity = 1.3
## Test of the hypothesis that 3 factors are sufficient.
##
## df null model = 36 with the objective function = 7.58 with Chi Square = 8898.42
## df of the model are 12 and the objective function was 0.02
##
## The root mean square of the residuals (RMSR) is 0.01
## The df corrected root mean square of the residuals is 0.01
##
## The harmonic n.obs is 1179 with the empirical chi square 2.13 with prob < 1
## The total n.obs was 1179 with Likelihood Chi Square = 24 with prob < 0.02
##
## Tucker Lewis Index of factoring reliability = 0.996
## RMSEA index = 0.029 and the 90 % confidence intervals are 0.011 0.046
## BIC = -60.86
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy
## ML2 ML3 ML1
## Correlation of (regression) scores with factors 0.97 0.92 1.00
## Multiple R square of scores with factors 0.94 0.85 0.99
## Minimum correlation of possible factor scores 0.89 0.70 0.98