STUDY
3.1
## Descriptive Statistics:
## ────────────────────────────────────────────────────────
## N Mean SD | Median Min Max Skewness Kurtosis
## ────────────────────────────────────────────────────────
## TD2 179 2.84 1.43 | 3.00 1.00 5.00 -0.06 -1.38
## TD3 179 2.81 1.25 | 3.00 1.00 5.00 -0.05 -1.11
## TD4 179 2.75 1.36 | 3.00 1.00 5.00 0.07 -1.29
## TD1 179 2.88 1.40 | 3.00 1.00 5.00 -0.07 -1.31
## TI1 179 2.77 1.33 | 3.00 1.00 5.00 -0.10 -1.28
## TI2 179 2.92 1.41 | 3.00 1.00 5.00 -0.11 -1.36
## TI6 179 2.90 1.39 | 3.00 1.00 5.00 -0.14 -1.26
## TI9 179 2.88 1.37 | 3.00 1.00 5.00 -0.05 -1.24
## PD1 179 2.82 1.37 | 3.00 1.00 5.00 -0.19 -1.37
## PD3 179 2.93 1.51 | 3.00 1.00 5.00 -0.15 -1.50
## PD4 179 2.79 1.40 | 3.00 1.00 5.00 -0.06 -1.38
## PD11 179 2.91 1.45 | 3.00 1.00 5.00 -0.19 -1.46
## PI11 179 2.91 1.37 | 3.00 1.00 5.00 -0.12 -1.27
## PI4 179 2.78 1.38 | 3.00 1.00 5.00 -0.09 -1.37
## PI7 179 2.86 1.43 | 3.00 1.00 5.00 -0.06 -1.37
## PI1 179 2.74 1.41 | 3.00 1.00 5.00 0.03 -1.40
## ────────────────────────────────────────────────────────
##
## Principal Component Analysis
##
## Summary:
## Total Items: 16
## Scale Range: 1 ~ 5
## Total Cases: 179
## Valid Cases: 179 (100.0%)
##
## Extraction Method:
## - Principal Component Analysis
## Rotation Method:
## - Varimax (with Kaiser Normalization)
##
## KMO and Bartlett's Test:
## - Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy: MSA = 0.974
## - Bartlett's Test of Sphericity: Approx. χ²(120) = 3480.70, p < 1e-99 ***
##
## Total Variance Explained:
## ───────────────────────────────────────────────────────────────────────────────────
## Eigenvalue Variance % Cumulative % SS Loading Variance % Cumulative %
## ───────────────────────────────────────────────────────────────────────────────────
## Component 1 12.273 76.705 76.705 4.123 25.766 25.766
## Component 2 0.620 3.876 80.581 3.325 20.778 46.545
## Component 3 0.414 2.586 83.167 3.239 20.245 66.790
## Component 4 0.354 2.213 85.380 2.974 18.590 85.380
## Component 5 0.325 2.034 87.414
## Component 6 0.292 1.824 89.237
## Component 7 0.263 1.643 90.880
## Component 8 0.218 1.361 92.241
## Component 9 0.214 1.336 93.578
## Component 10 0.193 1.204 94.782
## Component 11 0.183 1.145 95.926
## Component 12 0.163 1.018 96.944
## Component 13 0.144 0.900 97.844
## Component 14 0.132 0.823 98.667
## Component 15 0.115 0.718 99.385
## Component 16 0.098 0.615 100.000
## ───────────────────────────────────────────────────────────────────────────────────
##
## Component Loadings (Rotated) (Sorted by Size):
## ─────────────────────────────────────────
## RC1 RC4 RC2 RC3 Communality
## ─────────────────────────────────────────
## PD4 0.696 0.866
## PD3 0.695 0.870
## PD11 0.685 0.855
## PD1 0.673 0.868
## TI6 0.577 0.569 0.854
## TI1 0.693 0.860
## TI2 0.686 0.850
## TI9 0.660 0.825
## TD4 0.800 0.880
## TD3 0.746 0.890
## TD2 0.603 0.845
## TD1 0.584 0.808
## PI11 0.710 0.826
## PI7 0.606 0.863
## PI1 0.572 0.574 0.864
## PI4 0.569 0.838
## ─────────────────────────────────────────
## Communality = Sum of Squared (SS) Factor Loadings
## (Uniqueness = 1 - Communality)
STUDY
3.2
Higher-order factor model
## Descriptive Statistics:
## ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
## N (NA) Mean SD | Median Min Max Skewness Kurtosis
## ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
## RespondentID 179 2 12281624577.15 64348.57 | 12281592079.00 12281571500.00 12281904149.00 1.62 2.90
## CollectorID 179 2 398360284.00 0.00 | 398360284.00 398360284.00 398360284.00 NaN NaN
## StartDate 179 2 44190.04 0.05 | 44190.01 44190.00 44190.27 2.14 6.05
## EndDate 179 2 44190.05 0.05 | 44190.02 44190.00 44190.29 2.05 5.65
## IPAddress 181 89.33 51.61 | 90.00 1.00 178.00 -0.02 -1.21
## Response 179 2 4.63 0.54 | 5.00 3.00 5.00 -1.04 0.02
## TD3 179 2 2.81 1.25 | 3.00 1.00 5.00 -0.05 -1.11
## TD4 179 2 2.75 1.36 | 3.00 1.00 5.00 0.07 -1.29
## TD5 179 2 2.87 1.36 | 3.00 1.00 5.00 -0.09 -1.28
## TD1 179 2 2.88 1.40 | 3.00 1.00 5.00 -0.07 -1.31
## TD6 179 2 2.89 1.28 | 3.00 1.00 5.00 -0.16 -1.13
## TD2 179 2 2.84 1.43 | 3.00 1.00 5.00 -0.06 -1.38
## TI3 179 2 2.91 1.27 | 3.00 1.00 5.00 -0.28 -1.09
## TI8 179 2 2.86 1.35 | 3.00 1.00 5.00 -0.14 -1.25
## TI2 179 2 2.92 1.41 | 3.00 1.00 5.00 -0.11 -1.36
## TI9 179 2 2.88 1.37 | 3.00 1.00 5.00 -0.05 -1.24
## TI1 179 2 2.77 1.33 | 3.00 1.00 5.00 -0.10 -1.28
## TI4 179 2 2.84 1.37 | 3.00 1.00 5.00 -0.10 -1.31
## TI5 179 2 2.79 1.37 | 3.00 1.00 5.00 -0.07 -1.35
## TI7 179 2 2.84 1.33 | 3.00 1.00 5.00 -0.12 -1.22
## TI6 179 2 2.90 1.39 | 3.00 1.00 5.00 -0.14 -1.26
## PD1 179 2 2.82 1.37 | 3.00 1.00 5.00 -0.19 -1.37
## PD9 179 2 2.76 1.38 | 3.00 1.00 5.00 0.05 -1.29
## PD3 179 2 2.93 1.51 | 3.00 1.00 5.00 -0.15 -1.50
## PD8 179 2 2.81 1.42 | 3.00 1.00 5.00 -0.03 -1.34
## PD4 179 2 2.79 1.40 | 3.00 1.00 5.00 -0.06 -1.38
## PD5 179 2 2.66 1.32 | 3.00 1.00 5.00 0.08 -1.24
## PD7 179 2 2.84 1.43 | 3.00 1.00 5.00 -0.13 -1.41
## PD10 179 2 2.87 1.45 | 3.00 1.00 5.00 -0.02 -1.36
## PD11 179 2 2.91 1.45 | 3.00 1.00 5.00 -0.19 -1.46
## PD2 179 2 2.83 1.39 | 3.00 1.00 5.00 -0.08 -1.32
## PD6 179 2 2.83 1.42 | 3.00 1.00 5.00 -0.11 -1.40
## PD12 179 2 2.75 1.40 | 3.00 1.00 5.00 0.04 -1.36
## PI6 179 2 2.85 1.26 | 3.00 1.00 5.00 -0.21 -1.12
## PI11 179 2 2.91 1.37 | 3.00 1.00 5.00 -0.12 -1.27
## PI9 179 2 2.88 1.42 | 3.00 1.00 5.00 -0.10 -1.37
## PI1 179 2 2.74 1.41 | 3.00 1.00 5.00 0.03 -1.40
## PI3 179 2 2.80 1.36 | 3.00 1.00 5.00 -0.07 -1.29
## PI4 179 2 2.78 1.38 | 3.00 1.00 5.00 -0.09 -1.37
## PI5 179 2 2.88 1.45 | 3.00 1.00 5.00 -0.10 -1.38
## PI8 179 2 2.96 1.34 | 3.00 1.00 5.00 -0.23 -1.20
## PI2 179 2 2.79 1.37 | 3.00 1.00 5.00 -0.11 -1.36
## PI7 179 2 2.86 1.43 | 3.00 1.00 5.00 -0.06 -1.37
## PI10 179 2 2.80 1.39 | 3.00 1.00 5.00 -0.05 -1.36
## SD1Iliketogossipattimes 179 2 1.29 0.46 | 1.00 1.00 2.00 0.92 -1.17
## SD2TherehavebeenoccasionswhenItookadvantageofsomeone 179 2 1.46 0.50 | 1.00 1.00 2.00 0.14 -1.99
## SD3Isometimestrytogetevenratherthanforgiveandforget 179 2 1.44 0.50 | 1.00 1.00 2.00 0.26 -1.94
## SD4AttimesIhavereallyinsistedorIhavingthingsmyownway 179 2 1.28 0.45 | 1.00 1.00 2.00 0.95 -1.11
## SD5TherehavebeenoccasionswhenIfeltlikesmashingthings 179 2 1.42 0.49 | 1.00 1.00 2.00 0.33 -1.90
## SD6ImalwayswillingtoadmititwhenImakeamistake 179 2 1.35 0.48 | 1.00 1.00 2.00 0.61 -1.63
## SD7IalwaystrytopracticewhatIpreach 179 2 1.31 0.46 | 1.00 1.00 2.00 0.83 -1.32
## SD8Ineverresentbeingaskedtoreturnafavor 179 2 1.44 0.50 | 1.00 1.00 2.00 0.26 -1.94
## SD9Ihaveneverbeenirkedwhenpeopleexpressedideasverydifferentfromm 179 2 1.44 0.50 | 1.00 1.00 2.00 0.26 -1.94
## SD10Ihaveneverdeliberatelysaidsomethingthathurtsomeonesfeelings 179 2 1.45 0.50 | 1.00 1.00 2.00 0.19 -1.98
## 职业状态 179 2 1.05 0.22 | 1.00 1.00 2.00 4.08 14.74
## 与现任领导一起工作的时间 179 2 3.72 1.13 | 4.00 1.00 5.00 -0.57 -0.77
## 与现任领导接触的频次 179 2 2.98 1.27 | 3.00 1.00 5.00 -0.06 -1.19
## Response_A 179 2 3.64 1.29 | 4.00 1.00 5.00 -0.48 -1.21
## 职位 179 2 2.30 1.01 | 2.00 1.00 5.00 0.27 -0.77
## 教育 179 2 2.76 0.88 | 3.00 1.00 5.00 0.08 -0.61
## 性别 179 2 1.34 0.47 | 1.00 1.00 2.00 0.69 -1.53
## 行业 181 45.01 21.35 | 49.00 1.00 90.00 0.04 -0.66
## 每周工作时间 175 6 38.61 9.81 | 40.00 5.00 70.00 -1.36 3.78
## OpenEndedResponse 181 24.56 10.84 | 28.00 1.00 40.00 -0.58 -0.91
## OpenEndedResponse_A 180 1 36.09 10.85 | 34.00 10.69 70.00 1.00 0.45
## OpenEndedResponse_B 181 90.01 52.38 | 90.00 1.00 180.00 0.00 -1.22
## ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
##
## NOTE: `IPAddress`, `行业`, `OpenEndedResponse`, `OpenEndedResponse_B` transformed to numeric.
##
## Fit Measures (lavaan):
## χ²(100, N = 179) = 128.035, p = 0.031 *
## χ²/df = 1.280
## AIC = 6572.203 (Akaike Information Criterion)
## BIC = 6686.949 (Bayesian Information Criterion)
## CFI = 0.992 (Comparative Fit Index)
## TLI = 0.990 (Tucker-Lewis Index; Non-Normed Fit Index, NNFI)
## NFI = 0.965 (Normed Fit Index)
## IFI = 0.992 (Incremental Fit Index)
## GFI = 0.922 (Goodness-of-Fit Index)
## AGFI = 0.894 (Adjusted Goodness-of-Fit Index)
## RMSEA = 0.040, 90% CI [0.013, 0.058] (Root Mean Square Error of Approximation)
## SRMR = 0.019 (Standardized Root Mean Square Residual)
##
## Model Estimates (lavaan):
## ──────────────────────────────────────────────────────────────────────
## Estimate S.E. z p LLCI ULCI Beta
## ──────────────────────────────────────────────────────────────────────
## Latent Variables:
## TD =~ TD2 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.921
## TD =~ TD3 0.807 (0.047) 17.122 <.001 *** 0.715 0.900 0.851
## TD =~ TD4 0.836 (0.054) 15.408 <.001 *** 0.730 0.942 0.811
## TD =~ TD1 0.929 (0.050) 18.454 <.001 *** 0.831 1.028 0.877
## TI =~ TI1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.886
## TI =~ TI2 1.060 (0.060) 17.555 <.001 *** 0.941 1.178 0.885
## TI =~ TI6 1.078 (0.057) 18.949 <.001 *** 0.966 1.189 0.914
## TI =~ TI9 1.002 (0.061) 16.458 <.001 *** 0.882 1.121 0.860
## PD =~ PD1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.924
## PD =~ PD3 1.089 (0.051) 21.341 <.001 *** 0.989 1.189 0.912
## PD =~ PD4 1.009 (0.048) 21.211 <.001 *** 0.916 1.103 0.910
## PD =~ PD11 1.047 (0.049) 21.160 <.001 *** 0.950 1.144 0.909
## PI =~ PI1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.919
## PI =~ PI4 0.971 (0.046) 20.905 <.001 *** 0.880 1.062 0.912
## PI =~ PI7 1.025 (0.047) 21.818 <.001 *** 0.933 1.117 0.924
## PI =~ PI11 0.873 (0.054) 16.137 <.001 *** 0.767 0.979 0.824
## DF =~ TD 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.939
## DF =~ TI 0.925 (0.058) 16.065 <.001 *** 0.812 1.038 0.975
## DF =~ PD 0.999 (0.056) 17.697 <.001 *** 0.889 1.110 0.981
## DF =~ PI 1.012 (0.059) 17.169 <.001 *** 0.897 1.128 0.971
## ──────────────────────────────────────────────────────────────────────
## Note. Raw (Standard) Confidence Interval (CI) and SE.
Four-factor model
##
## Fit Measures (lavaan):
## χ²(98, N = 179) = 127.072, p = 0.026 *
## χ²/df = 1.297
## AIC = 6575.241 (Akaike Information Criterion)
## BIC = 6696.361 (Bayesian Information Criterion)
## CFI = 0.992 (Comparative Fit Index)
## TLI = 0.990 (Tucker-Lewis Index; Non-Normed Fit Index, NNFI)
## NFI = 0.965 (Normed Fit Index)
## IFI = 0.992 (Incremental Fit Index)
## GFI = 0.923 (Goodness-of-Fit Index)
## AGFI = 0.893 (Adjusted Goodness-of-Fit Index)
## RMSEA = 0.041, 90% CI [0.015, 0.060] (Root Mean Square Error of Approximation)
## SRMR = 0.019 (Standardized Root Mean Square Residual)
##
## Model Estimates (lavaan):
## ──────────────────────────────────────────────────────────────────────
## Estimate S.E. z p LLCI ULCI Beta
## ──────────────────────────────────────────────────────────────────────
## Latent Variables:
## TD =~ TD2 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.921
## TD =~ TD3 0.806 (0.047) 17.084 <.001 *** 0.713 0.898 0.850
## TD =~ TD4 0.836 (0.054) 15.423 <.001 *** 0.730 0.942 0.811
## TD =~ TD1 0.929 (0.050) 18.493 <.001 *** 0.831 1.028 0.877
## TI =~ TI1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.886
## TI =~ TI2 1.059 (0.060) 17.565 <.001 *** 0.941 1.177 0.885
## TI =~ TI6 1.077 (0.057) 18.976 <.001 *** 0.966 1.188 0.914
## TI =~ TI9 1.001 (0.061) 16.463 <.001 *** 0.882 1.120 0.859
## PD =~ PD1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.924
## PD =~ PD3 1.089 (0.051) 21.330 <.001 *** 0.989 1.189 0.912
## PD =~ PD4 1.009 (0.048) 21.208 <.001 *** 0.916 1.103 0.910
## PD =~ PD11 1.048 (0.049) 21.185 <.001 *** 0.951 1.144 0.910
## PI =~ PI1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.919
## PI =~ PI4 0.970 (0.046) 20.907 <.001 *** 0.879 1.061 0.911
## PI =~ PI7 1.024 (0.047) 21.854 <.001 *** 0.932 1.116 0.924
## PI =~ PI11 0.872 (0.054) 16.153 <.001 *** 0.766 0.978 0.824
## ──────────────────────────────────────────────────────────────────────
## Note. Raw (Standard) Confidence Interval (CI) and SE.
Single-factor model
## Error in eval(sc, parent.frame()): 找不到对象'c.SingleFactor'
## Error in h(simpleError(msg, call)): 在为函数“fitMeasures”选择方法时计算参数“object”时出错：找不到对象'c.Singlefitcfa3.2'
Two-factor model (Task VS relation)
##
## Fit Measures (lavaan):
## χ²(103, N = 179) = 215.625, p = 6e-10 ***
## χ²/df = 2.093
## AIC = 6653.793 (Akaike Information Criterion)
## BIC = 6758.977 (Bayesian Information Criterion)
## CFI = 0.968 (Comparative Fit Index)
## TLI = 0.963 (Tucker-Lewis Index; Non-Normed Fit Index, NNFI)
## NFI = 0.941 (Normed Fit Index)
## IFI = 0.968 (Incremental Fit Index)
## GFI = 0.860 (Goodness-of-Fit Index)
## AGFI = 0.815 (Adjusted Goodness-of-Fit Index)
## RMSEA = 0.078, 90% CI [0.063, 0.093] (Root Mean Square Error of Approximation)
## SRMR = 0.025 (Standardized Root Mean Square Residual)
##
## Model Estimates (lavaan):
## ──────────────────────────────────────────────────────────────────────
## Estimate S.E. z p LLCI ULCI Beta
## ──────────────────────────────────────────────────────────────────────
## Latent Variables:
## T =~ TD2 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.888
## T =~ TD3 0.803 (0.053) 15.018 <.001 *** 0.698 0.908 0.817
## T =~ TD4 0.821 (0.061) 13.433 <.001 *** 0.701 0.941 0.769
## T =~ TD1 0.943 (0.057) 16.642 <.001 *** 0.832 1.054 0.859
## T =~ TI1 0.915 (0.052) 17.472 <.001 *** 0.812 1.018 0.878
## T =~ TI2 0.960 (0.056) 17.100 <.001 *** 0.850 1.071 0.869
## T =~ TI6 0.975 (0.053) 18.348 <.001 *** 0.871 1.079 0.896
## T =~ TI9 0.922 (0.056) 16.596 <.001 *** 0.813 1.031 0.858
## P =~ PD1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.911
## P =~ PD3 1.097 (0.054) 20.266 <.001 *** 0.991 1.203 0.906
## P =~ PD4 1.013 (0.051) 19.957 <.001 *** 0.914 1.113 0.901
## P =~ PD11 1.050 (0.053) 19.849 <.001 *** 0.946 1.154 0.899
## P =~ PI1 1.021 (0.051) 20.139 <.001 *** 0.921 1.120 0.904
## P =~ PI4 0.990 (0.050) 19.648 <.001 *** 0.891 1.089 0.896
## P =~ PI7 1.040 (0.052) 20.122 <.001 *** 0.938 1.141 0.904
## P =~ PI11 0.903 (0.057) 15.933 <.001 *** 0.792 1.014 0.822
## ──────────────────────────────────────────────────────────────────────
## Note. Raw (Standard) Confidence Interval (CI) and SE.
Two-factor model (Direct VS indirect)
##
## Fit Measures (lavaan):
## χ²(103, N = 179) = 232.607, p = 5e-12 ***
## χ²/df = 2.258
## AIC = 6670.775 (Akaike Information Criterion)
## BIC = 6775.959 (Bayesian Information Criterion)
## CFI = 0.963 (Comparative Fit Index)
## TLI = 0.957 (Tucker-Lewis Index; Non-Normed Fit Index, NNFI)
## NFI = 0.936 (Normed Fit Index)
## IFI = 0.963 (Incremental Fit Index)
## GFI = 0.846 (Goodness-of-Fit Index)
## AGFI = 0.796 (Adjusted Goodness-of-Fit Index)
## RMSEA = 0.084, 90% CI [0.070, 0.098] (Root Mean Square Error of Approximation)
## SRMR = 0.027 (Standardized Root Mean Square Residual)
##
## Model Estimates (lavaan):
## ──────────────────────────────────────────────────────────────────────
## Estimate S.E. z p LLCI ULCI Beta
## ──────────────────────────────────────────────────────────────────────
## Latent Variables:
## D =~ TD2 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.884
## D =~ TD3 0.798 (0.055) 14.629 <.001 *** 0.691 0.905 0.807
## D =~ TD4 0.816 (0.062) 13.136 <.001 *** 0.694 0.937 0.760
## D =~ TD1 0.935 (0.058) 16.077 <.001 *** 0.821 1.048 0.847
## D =~ PD1 0.984 (0.052) 19.033 <.001 *** 0.883 1.086 0.913
## D =~ PD3 1.077 (0.058) 18.645 <.001 *** 0.964 1.190 0.905
## D =~ PD4 0.997 (0.054) 18.492 <.001 *** 0.891 1.102 0.902
## D =~ PD11 1.029 (0.056) 18.247 <.001 *** 0.918 1.139 0.897
## I =~ TI1 1.000 (0.000) Inf <.001 *** 1.000 1.000 0.867
## I =~ TI2 1.062 (0.065) 16.253 <.001 *** 0.934 1.190 0.868
## I =~ TI6 1.082 (0.062) 17.462 <.001 *** 0.961 1.204 0.899
## I =~ TI9 1.015 (0.065) 15.669 <.001 *** 0.888 1.141 0.852
## I =~ PI1 1.100 (0.063) 17.548 <.001 *** 0.977 1.223 0.901
## I =~ PI4 1.075 (0.061) 17.513 <.001 *** 0.955 1.196 0.900
## I =~ PI7 1.128 (0.063) 17.780 <.001 *** 1.003 1.252 0.906
## I =~ PI11 0.976 (0.067) 14.623 <.001 *** 0.845 1.107 0.821
## ──────────────────────────────────────────────────────────────────────
## Note. Raw (Standard) Confidence Interval (CI) and SE.
STUDY
4
## Descriptive Statistics:
## ───────────────────────────────────────────────────────────────────────────────────────
## N (NA) Mean SD | Median Min Max Skewness Kurtosis
## ───────────────────────────────────────────────────────────────────────────────────────
## LID 199 63.33 51.70 | 59.00 1.00 158.00 0.24 -1.33
## FID 199 63.33 51.70 | 59.00 1.00 158.00 0.24 -1.33
## P1_上级_作答ID 199 63.33 51.70 | 59.00 1.00 158.00 0.24 -1.33
## LName 199 61.63 50.91 | 57.00 1.00 154.00 0.25 -1.35
## P1_上级_开始时间 157 42 NaN | Inf -Inf
## P1_上级_结束时间 157 42 NaN | Inf -Inf
## LTime 157 42 1001.98 665.62 | 794.00 600.00 4733.00 3.52 13.96
## P1_上级_作答渠道 199 1.79 0.41 | 2.00 1.00 2.00 -1.41 -0.02
## P1_上级_发布ID 199 1.79 0.41 | 2.00 1.00 2.00 -1.41 -0.02
## P1_上级_问卷发布名称 199 1.79 0.41 | 2.00 1.00 2.00 -1.41 -0.02
## P1_上级_IP 199 59.76 49.17 | 55.00 1.00 151.00 0.27 -1.31
## P1_上级_经度 157 42 104.76 34.56 | 116.10 0.00 126.92 -2.62 5.09
## P1_上级_纬度 157 42 29.66 11.38 | 31.88 0.00 49.20 -1.45 1.72
## P1_上级_省份 199 10.09 8.30 | 9.00 1.00 27.00 0.34 -1.32
## P1_上级_城市 199 31.11 26.55 | 29.00 1.00 81.00 0.23 -1.41
## P1_上级_设备类型 199 1.79 0.42 | 2.00 1.00 3.00 -1.23 0.15
## P1_上级_操作系统类型 199 1.87 0.53 | 2.00 1.00 3.00 -0.14 0.32
## P1_上级_浏览器类型 199 1.79 0.41 | 2.00 1.00 2.00 -1.41 -0.02
## P1_上级_屏幕分辨率 199 14.20 9.77 | 15.00 1.00 36.00 0.23 -0.87
## P1_上级_随机元素 199 11.45 8.14 | 11.00 1.00 25.00 0.12 -1.38
## LDT1 199 1.55 0.83 | 1.00 1.00 5.00 1.92 4.20
## LDT2 199 1.21 0.56 | 1.00 1.00 5.00 3.41 14.08
## LDT3 199 1.86 0.86 | 2.00 1.00 5.00 0.99 0.75
## LDT4 199 1.47 0.83 | 1.00 1.00 6.00 2.45 7.54
## LDP1 199 1.31 0.65 | 1.00 1.00 5.00 2.60 8.00
## LDP3 199 1.30 0.67 | 1.00 1.00 5.00 2.84 9.82
## LDP4 199 1.12 0.48 | 1.00 1.00 5.00 5.09 29.31
## LDP11 199 1.29 0.63 | 1.00 1.00 5.00 2.78 9.44
## LIT1 199 1.28 0.68 | 1.00 1.00 5.00 2.81 8.27
## LIT2 199 1.35 0.74 | 1.00 1.00 5.00 2.85 9.41
## LIT6 199 1.30 0.70 | 1.00 1.00 6.00 3.10 12.20
## LIT9 199 1.37 0.74 | 1.00 1.00 5.00 2.51 7.08
## LIP1 199 1.26 0.67 | 1.00 1.00 5.00 3.23 11.74
## LIP4 199 1.37 0.81 | 1.00 1.00 6.00 3.03 10.62
## LIP7 199 1.30 0.79 | 1.00 1.00 6.00 3.59 14.27
## LIP11 199 1.23 0.58 | 1.00 1.00 5.00 3.26 13.01
## FDT1 199 1.54 0.70 | 1.00 1.00 5.00 1.79 5.32
## FDT2 199 1.09 0.34 | 1.00 1.00 4.00 4.73 29.25
## FDT3 199 1.82 0.78 | 2.00 1.00 5.00 1.03 1.52
## FDT4 199 1.40 0.70 | 1.00 1.00 5.00 2.30 6.92
## FDP1 199 1.20 0.57 | 1.00 1.00 5.00 4.17 21.65
## FDP3 199 1.22 0.54 | 1.00 1.00 5.00 3.31 14.72
## FDP4 199 1.07 0.29 | 1.00 1.00 3.00 4.70 23.35
## FDP11 199 1.20 0.59 | 1.00 1.00 5.00 3.93 18.28
## FIT1 199 1.23 0.65 | 1.00 1.00 6.00 4.10 21.11
## FIT2 199 1.23 0.60 | 1.00 1.00 6.00 4.10 23.27
## FIT6 199 1.23 0.65 | 1.00 1.00 5.00 3.71 16.05
## FIT9 199 1.30 0.74 | 1.00 1.00 5.00 3.21 11.33
## FIP1 199 1.13 0.55 | 1.00 1.00 5.00 5.57 34.10
## FIP4 199 1.21 0.52 | 1.00 1.00 4.00 2.67 7.22
## FIP7 199 1.22 0.66 | 1.00 1.00 5.00 3.61 14.03
## FIP11 199 1.15 0.50 | 1.00 1.00 5.00 4.38 23.51
## FSD1 157 42 3.38 1.72 | 3.00 1.00 7.00 0.29 -1.25
## FSD2 157 42 2.74 1.75 | 2.00 1.00 7.00 0.75 -0.64
## FSD3 157 42 5.42 1.23 | 6.00 1.00 7.00 -1.26 1.38
## FSD4 157 42 5.14 1.29 | 5.00 2.00 7.00 -0.72 -0.32
## FGender 157 42 1.50 0.50 | 1.00 1.00 2.00 0.01 -2.01
## FYear 157 42 31.45 6.42 | 31.00 20.00 58.00 1.07 1.82
## Fhour 157 42 44.80 12.24 | 45.00 6.00 84.00 -0.63 3.09
## Fworkexperience 157 42 4.59 0.66 | 5.00 2.00 5.00 -1.74 3.13
## FWorkingtimewith 157 42 4.26 0.82 | 4.00 1.00 5.00 -1.21 1.96
## Ffrequence 157 42 6.04 1.06 | 6.00 3.00 7.00 -0.60 -0.92
## FStatus 157 42 1.46 0.63 | 1.00 1.00 3.00 1.02 -0.06
## FEducation 157 42 2.84 0.65 | 3.00 1.00 5.00 -0.55 1.70
## ───────────────────────────────────────────────────────────────────────────────────────
##
## NOTE: `LID`, `FID`, `P1_上级_作答ID`, `LName`, `P1_上级_开始时间`, `P1_上级_结束时间`, `P1_上级_作答渠道`, `P1_上级_发布ID`, `P1_上级_问卷发布名称`, `P1_上级_IP`, `P1_上级_省份`, `P1_上级_城市`, `P1_上级_设备类型`, `P1_上级_操作系统类型`, `P1_上级_浏览器类型`, `P1_上级_屏幕分辨率`, `P1_上级_随机元素` transformed to numeric.
## [1] "LID" "FID" "P1_上级_作答ID"
## [4] "LName" "P1_上级_开始时间" "P1_上级_结束时间"
## [7] "LTime" "P1_上级_作答渠道" "P1_上级_发布ID"
## [10] "P1_上级_问卷发布名称" "P1_上级_IP" "P1_上级_经度"
## [13] "P1_上级_纬度" "P1_上级_省份" "P1_上级_城市"
## [16] "P1_上级_设备类型" "P1_上级_操作系统类型" "P1_上级_浏览器类型"
## [19] "P1_上级_屏幕分辨率" "P1_上级_随机元素" "LDT1"
## [22] "LDT2" "LDT3" "LDT4"
## [25] "LDP1" "LDP3" "LDP4"
## [28] "LDP11" "LIT1" "LIT2"
## [31] "LIT6" "LIT9" "LIP1"
## [34] "LIP4" "LIP7" "LIP11"
## [37] "FDT1" "FDT2" "FDT3"
## [40] "FDT4" "FDP1" "FDP3"
## [43] "FDP4" "FDP11" "FIT1"
## [46] "FIT2" "FIT6" "FIT9"
## [49] "FIP1" "FIP4" "FIP7"
## [52] "FIP11" "FSD1" "FSD2"
## [55] "FSD3" "FSD4" "FGender"
## [58] "FYear" "Fhour" "Fworkexperience"
## [61] "FWorkingtimewith" "Ffrequence" "FStatus"
## [64] "FEducation"
## Pearson's r and 95% confidence intervals:
## ────────────────────────────────────────
## r [95% CI] p N
## ────────────────────────────────────────
## LDT-LDP 0.71 [0.64, 0.77] <.001 *** 199
## LDT-LIT 0.69 [0.61, 0.75] <.001 *** 199
## LDT-LIP 0.66 [0.57, 0.73] <.001 *** 199
## LDT-FDT 0.55 [0.44, 0.64] <.001 *** 199
## LDT-FDP 0.45 [0.33, 0.56] <.001 *** 199
## LDT-FIT 0.28 [0.15, 0.41] <.001 *** 199
## LDT-FIP 0.40 [0.28, 0.51] <.001 *** 199
## LDP-LIT 0.73 [0.66, 0.79] <.001 *** 199
## LDP-LIP 0.74 [0.68, 0.80] <.001 *** 199
## LDP-FDT 0.49 [0.38, 0.59] <.001 *** 199
## LDP-FDP 0.47 [0.36, 0.57] <.001 *** 199
## LDP-FIT 0.41 [0.29, 0.52] <.001 *** 199
## LDP-FIP 0.38 [0.26, 0.49] <.001 *** 199
## LIT-LIP 0.71 [0.63, 0.77] <.001 *** 199
## LIT-FDT 0.42 [0.30, 0.53] <.001 *** 199
## LIT-FDP 0.44 [0.32, 0.54] <.001 *** 199
## LIT-FIT 0.42 [0.29, 0.53] <.001 *** 199
## LIT-FIP 0.40 [0.28, 0.51] <.001 *** 199
## LIP-FDT 0.43 [0.31, 0.54] <.001 *** 199
## LIP-FDP 0.43 [0.31, 0.54] <.001 *** 199
## LIP-FIT 0.37 [0.25, 0.49] <.001 *** 199
## LIP-FIP 0.40 [0.28, 0.51] <.001 *** 199
## FDT-FDP 0.67 [0.59, 0.74] <.001 *** 199
## FDT-FIT 0.53 [0.42, 0.62] <.001 *** 199
## FDT-FIP 0.57 [0.47, 0.66] <.001 *** 199
## FDP-FIT 0.64 [0.55, 0.72] <.001 *** 199
## FDP-FIP 0.61 [0.51, 0.69] <.001 *** 199
## FIT-FIP 0.55 [0.45, 0.64] <.001 *** 199
## ────────────────────────────────────────
## Correlation matrix is displayed in the RStudio `Plots` Pane.