EFA
Leoni, R. C. - Prof Dr.
Chapter 9 Exploratory Factor analsysis
Example: Attitude toward Research 30 items and 541 subjects
library(MASS);library(parallel)
library(MASS);library(parallel)
library(readr)
package 㤼㸱readr㤼㸲 was built under R version 3.5.3# Read in data file
factdat=read.table(file="atr30.csv",sep=",",header=TRUE)
factdat= as.matrix(factdat) # specify as matrix for use in other packages
head(factdat,10) Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30
[1,] 2 7 2 4 3 2 6 5 4 3 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[2,] 4 3 3 4 3 5 4 5 5 3 3 3 3 5 4 5 2 3 3 2 5 3 5 5 3 5 2 3 3 5
[3,] 5 6 3 4 3 4 6 5 5 4 5 3 6 5 6 6 4 5 5 5 4 5 6 6 5 5 4 3 5 6
[4,] 2 4 3 4 3 3 4 5 5 4 3 3 4 3 5 3 3 4 4 3 5 3 4 4 4 5 3 4 3 4
[5,] 6 6 4 5 5 6 5 6 7 3 5 5 5 6 5 6 3 5 5 4 7 5 4 6 4 6 2 3 4 5
[6,] 4 4 4 4 4 5 3 6 5 2 4 4 4 3 4 4 4 4 5 4 5 5 5 6 4 6 3 4 2 4
[7,] 6 6 5 5 5 6 6 5 6 5 5 6 6 6 6 6 5 6 6 5 6 5 6 6 6 6 5 5 5 6
[8,] 6 6 4 5 5 7 4 7 7 4 4 5 6 7 6 7 3 4 6 4 6 4 6 6 4 6 4 4 3 4
[9,] 3 6 4 5 4 6 5 6 5 3 5 5 4 3 5 4 3 5 5 5 6 5 6 6 4 6 3 4 4 6
[10,] 3 4 2 3 3 4 4 4 5 3 3 4 4 4 4 5 3 4 4 3 5 4 3 5 4 3 3 3 4 3tail(factdat,10) Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30
[532,] 6 4 4 4 4 6 5 6 4 3 4 3 4 5 4 6 2 5 2 1 5 1 5 4 3 5 2 4 4 5
[533,] 4 2 5 4 5 5 4 3 4 4 4 2 3 5 5 5 4 5 3 3 6 4 2 5 4 5 3 5 5 3
[534,] 7 7 5 4 4 6 7 6 3 2 3 6 6 6 7 7 7 7 7 4 7 7 6 7 6 7 5 6 7 5
[535,] 4 3 4 4 3 5 3 4 5 3 4 3 2 5 3 5 3 2 2 2 3 2 4 5 2 5 3 4 3 4
[536,] 7 4 7 7 7 7 7 4 6 6 6 6 6 7 5 6 7 6 4 3 5 5 5 5 5 6 2 6 5 3
[537,] 4 7 4 4 4 4 1 4 3 0 2 3 2 4 4 3 1 1 1 1 1 3 3 7 1 4 1 3 1 3
[538,] 7 4 7 7 7 7 7 6 4 7 7 6 5 6 7 6 7 6 2 3 7 7 4 7 7 6 3 7 6 4
[539,] 1 4 3 3 1 2 2 2 2 2 2 4 3 2 3 2 2 2 1 2 4 3 2 3 4 2 2 2 3 4
[540,] 3 4 5 5 5 2 6 1 2 5 4 5 4 2 4 2 3 5 4 0 5 5 1 4 4 1 4 5 5 1
[541,] 7 4 6 6 7 7 6 4 6 7 7 5 5 6 7 6 6 5 4 4 7 4 4 4 5 6 5 7 6 2# Use correlation matrix rather than raw data file
corfact = cor(factdat)
round(corfact,3) # round correlations to three decimal places Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19
Q1 1.000 0.209 0.475 0.358 0.457 0.698 0.181 0.285 0.358 0.475 0.378 0.188 0.195 0.746 0.184 0.718 0.209 0.162 0.055
Q2 0.209 1.000 0.357 0.404 0.346 0.138 0.476 0.196 0.183 0.305 0.346 0.464 0.507 0.181 0.448 0.204 0.243 0.444 0.512
Q3 0.475 0.357 1.000 0.666 0.780 0.439 0.319 0.235 0.273 0.750 0.683 0.380 0.433 0.477 0.354 0.441 0.334 0.388 0.261
Q4 0.358 0.404 0.666 1.000 0.685 0.328 0.435 0.240 0.231 0.625 0.665 0.417 0.445 0.345 0.448 0.339 0.310 0.436 0.312
Q5 0.457 0.346 0.780 0.685 1.000 0.444 0.382 0.268 0.310 0.774 0.737 0.399 0.457 0.436 0.403 0.447 0.332 0.438 0.257
Q6 0.698 0.138 0.439 0.328 0.444 1.000 0.106 0.426 0.486 0.423 0.399 0.172 0.200 0.686 0.157 0.737 0.148 0.171 0.074
Q7 0.181 0.476 0.319 0.435 0.382 0.106 1.000 0.133 0.035 0.384 0.426 0.581 0.503 0.149 0.548 0.181 0.379 0.615 0.507
Q8 0.285 0.196 0.235 0.240 0.268 0.426 0.133 1.000 0.586 0.217 0.279 0.144 0.205 0.323 0.181 0.379 0.125 0.216 0.184
Q9 0.358 0.183 0.273 0.231 0.310 0.486 0.035 0.586 1.000 0.289 0.369 0.095 0.232 0.392 0.137 0.458 0.063 0.146 0.114
Q10 0.475 0.305 0.750 0.625 0.774 0.423 0.384 0.217 0.289 1.000 0.744 0.398 0.421 0.427 0.384 0.455 0.363 0.387 0.240
Q11 0.378 0.346 0.683 0.665 0.737 0.399 0.426 0.279 0.369 0.744 1.000 0.454 0.485 0.380 0.437 0.405 0.342 0.457 0.342
Q12 0.188 0.464 0.380 0.417 0.399 0.172 0.581 0.144 0.095 0.398 0.454 1.000 0.493 0.183 0.542 0.190 0.376 0.571 0.525
Q13 0.195 0.507 0.433 0.445 0.457 0.200 0.503 0.205 0.232 0.421 0.485 0.493 1.000 0.254 0.479 0.254 0.317 0.573 0.492
Q14 0.746 0.181 0.477 0.345 0.436 0.686 0.149 0.323 0.392 0.427 0.380 0.183 0.254 1.000 0.159 0.784 0.164 0.156 0.096
Q15 0.184 0.448 0.354 0.448 0.403 0.157 0.548 0.181 0.137 0.384 0.437 0.542 0.479 0.159 1.000 0.207 0.391 0.555 0.485
Q16 0.718 0.204 0.441 0.339 0.447 0.737 0.181 0.379 0.458 0.455 0.405 0.190 0.254 0.784 0.207 1.000 0.165 0.217 0.157
Q17 0.209 0.243 0.334 0.310 0.332 0.148 0.379 0.125 0.063 0.363 0.342 0.376 0.317 0.164 0.391 0.165 1.000 0.440 0.376
Q18 0.162 0.444 0.388 0.436 0.438 0.171 0.615 0.216 0.146 0.387 0.457 0.571 0.573 0.156 0.555 0.217 0.440 1.000 0.613
Q19 0.055 0.512 0.261 0.312 0.257 0.074 0.507 0.184 0.114 0.240 0.342 0.525 0.492 0.096 0.485 0.157 0.376 0.613 1.000
Q20 0.140 0.480 0.340 0.376 0.362 0.125 0.477 0.097 0.107 0.372 0.383 0.445 0.467 0.166 0.487 0.170 0.395 0.563 0.578
Q21 0.295 0.311 0.358 0.392 0.364 0.308 0.403 0.304 0.256 0.338 0.399 0.369 0.346 0.306 0.417 0.336 0.358 0.481 0.418
Q22 0.112 0.431 0.289 0.379 0.342 0.124 0.606 0.149 0.061 0.329 0.387 0.610 0.496 0.154 0.495 0.160 0.376 0.600 0.559
Q23 0.502 0.170 0.398 0.269 0.323 0.502 0.092 0.416 0.404 0.351 0.319 0.152 0.236 0.585 0.062 0.563 0.140 0.171 0.123
Q24 0.209 0.279 0.225 0.265 0.223 0.229 0.268 0.243 0.216 0.250 0.277 0.314 0.273 0.242 0.349 0.282 0.310 0.361 0.343
Q25 0.169 0.407 0.353 0.323 0.349 0.161 0.534 0.146 0.095 0.367 0.374 0.545 0.404 0.138 0.511 0.178 0.401 0.572 0.491
Q26 0.579 0.190 0.491 0.347 0.447 0.625 0.124 0.410 0.416 0.433 0.448 0.199 0.242 0.618 0.182 0.628 0.224 0.239 0.150
Q27 0.262 0.339 0.495 0.436 0.509 0.276 0.364 0.172 0.180 0.489 0.543 0.437 0.420 0.299 0.385 0.310 0.302 0.426 0.306
Q28 0.488 0.304 0.736 0.612 0.722 0.420 0.329 0.212 0.245 0.712 0.658 0.370 0.421 0.475 0.367 0.499 0.346 0.395 0.244
Q29 0.151 0.352 0.273 0.328 0.269 0.121 0.394 0.142 0.094 0.281 0.331 0.409 0.344 0.144 0.447 0.198 0.441 0.492 0.467
Q30 0.447 0.078 0.271 0.195 0.175 0.461 -0.005 0.361 0.374 0.234 0.178 0.048 0.122 0.507 -0.002 0.485 0.040 0.056 0.018
Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30
Q1 0.140 0.295 0.112 0.502 0.209 0.169 0.579 0.262 0.488 0.151 0.447
Q2 0.480 0.311 0.431 0.170 0.279 0.407 0.190 0.339 0.304 0.352 0.078
Q3 0.340 0.358 0.289 0.398 0.225 0.353 0.491 0.495 0.736 0.273 0.271
Q4 0.376 0.392 0.379 0.269 0.265 0.323 0.347 0.436 0.612 0.328 0.195
Q5 0.362 0.364 0.342 0.323 0.223 0.349 0.447 0.509 0.722 0.269 0.175
Q6 0.125 0.308 0.124 0.502 0.229 0.161 0.625 0.276 0.420 0.121 0.461
Q7 0.477 0.403 0.606 0.092 0.268 0.534 0.124 0.364 0.329 0.394 -0.005
Q8 0.097 0.304 0.149 0.416 0.243 0.146 0.410 0.172 0.212 0.142 0.361
Q9 0.107 0.256 0.061 0.404 0.216 0.095 0.416 0.180 0.245 0.094 0.374
Q10 0.372 0.338 0.329 0.351 0.250 0.367 0.433 0.489 0.712 0.281 0.234
Q11 0.383 0.399 0.387 0.319 0.277 0.374 0.448 0.543 0.658 0.331 0.178
Q12 0.445 0.369 0.610 0.152 0.314 0.545 0.199 0.437 0.370 0.409 0.048
Q13 0.467 0.346 0.496 0.236 0.273 0.404 0.242 0.420 0.421 0.344 0.122
Q14 0.166 0.306 0.154 0.585 0.242 0.138 0.618 0.299 0.475 0.144 0.507
Q15 0.487 0.417 0.495 0.062 0.349 0.511 0.182 0.385 0.367 0.447 -0.002
Q16 0.170 0.336 0.160 0.563 0.282 0.178 0.628 0.310 0.499 0.198 0.485
Q17 0.395 0.358 0.376 0.140 0.310 0.401 0.224 0.302 0.346 0.441 0.040
Q18 0.563 0.481 0.600 0.171 0.361 0.572 0.239 0.426 0.395 0.492 0.056
Q19 0.578 0.418 0.559 0.123 0.343 0.491 0.150 0.306 0.244 0.467 0.018
Q20 1.000 0.438 0.511 0.227 0.333 0.453 0.236 0.385 0.363 0.403 0.107
Q21 0.438 1.000 0.388 0.286 0.421 0.372 0.323 0.303 0.344 0.381 0.171
Q22 0.511 0.388 1.000 0.128 0.379 0.599 0.165 0.419 0.322 0.464 0.040
Q23 0.227 0.286 0.128 1.000 0.250 0.152 0.692 0.288 0.421 0.094 0.655
Q24 0.333 0.421 0.379 0.250 1.000 0.312 0.250 0.268 0.242 0.422 0.166
Q25 0.453 0.372 0.599 0.152 0.312 1.000 0.218 0.506 0.391 0.408 0.047
Q26 0.236 0.323 0.165 0.692 0.250 0.218 1.000 0.335 0.531 0.118 0.554
Q27 0.385 0.303 0.419 0.288 0.268 0.506 0.335 1.000 0.513 0.321 0.174
Q28 0.363 0.344 0.322 0.421 0.242 0.391 0.531 0.513 1.000 0.274 0.289
Q29 0.403 0.381 0.464 0.094 0.422 0.408 0.118 0.321 0.274 1.000 -0.011
Q30 0.107 0.171 0.040 0.655 0.166 0.047 0.554 0.174 0.289 -0.011 1.000# Prints out the p-values for correlations in matrix
print(corr.p(cor(factdat),541))Call:corr.p(r = cor(factdat), n = 541)
Correlation matrix
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23
Q1 1.00 0.21 0.48 0.36 0.46 0.70 0.18 0.29 0.36 0.47 0.38 0.19 0.20 0.75 0.18 0.72 0.21 0.16 0.06 0.14 0.30 0.11 0.50
Q2 0.21 1.00 0.36 0.40 0.35 0.14 0.48 0.20 0.18 0.30 0.35 0.46 0.51 0.18 0.45 0.20 0.24 0.44 0.51 0.48 0.31 0.43 0.17
Q3 0.48 0.36 1.00 0.67 0.78 0.44 0.32 0.24 0.27 0.75 0.68 0.38 0.43 0.48 0.35 0.44 0.33 0.39 0.26 0.34 0.36 0.29 0.40
Q4 0.36 0.40 0.67 1.00 0.68 0.33 0.43 0.24 0.23 0.62 0.66 0.42 0.44 0.34 0.45 0.34 0.31 0.44 0.31 0.38 0.39 0.38 0.27
Q5 0.46 0.35 0.78 0.68 1.00 0.44 0.38 0.27 0.31 0.77 0.74 0.40 0.46 0.44 0.40 0.45 0.33 0.44 0.26 0.36 0.36 0.34 0.32
Q6 0.70 0.14 0.44 0.33 0.44 1.00 0.11 0.43 0.49 0.42 0.40 0.17 0.20 0.69 0.16 0.74 0.15 0.17 0.07 0.13 0.31 0.12 0.50
Q7 0.18 0.48 0.32 0.43 0.38 0.11 1.00 0.13 0.04 0.38 0.43 0.58 0.50 0.15 0.55 0.18 0.38 0.61 0.51 0.48 0.40 0.61 0.09
Q8 0.29 0.20 0.24 0.24 0.27 0.43 0.13 1.00 0.59 0.22 0.28 0.14 0.21 0.32 0.18 0.38 0.13 0.22 0.18 0.10 0.30 0.15 0.42
Q9 0.36 0.18 0.27 0.23 0.31 0.49 0.04 0.59 1.00 0.29 0.37 0.09 0.23 0.39 0.14 0.46 0.06 0.15 0.11 0.11 0.26 0.06 0.40
Q10 0.47 0.30 0.75 0.62 0.77 0.42 0.38 0.22 0.29 1.00 0.74 0.40 0.42 0.43 0.38 0.45 0.36 0.39 0.24 0.37 0.34 0.33 0.35
Q11 0.38 0.35 0.68 0.66 0.74 0.40 0.43 0.28 0.37 0.74 1.00 0.45 0.49 0.38 0.44 0.40 0.34 0.46 0.34 0.38 0.40 0.39 0.32
Q12 0.19 0.46 0.38 0.42 0.40 0.17 0.58 0.14 0.09 0.40 0.45 1.00 0.49 0.18 0.54 0.19 0.38 0.57 0.53 0.45 0.37 0.61 0.15
Q13 0.20 0.51 0.43 0.44 0.46 0.20 0.50 0.21 0.23 0.42 0.49 0.49 1.00 0.25 0.48 0.25 0.32 0.57 0.49 0.47 0.35 0.50 0.24
Q14 0.75 0.18 0.48 0.34 0.44 0.69 0.15 0.32 0.39 0.43 0.38 0.18 0.25 1.00 0.16 0.78 0.16 0.16 0.10 0.17 0.31 0.15 0.59
Q15 0.18 0.45 0.35 0.45 0.40 0.16 0.55 0.18 0.14 0.38 0.44 0.54 0.48 0.16 1.00 0.21 0.39 0.55 0.48 0.49 0.42 0.49 0.06
Q16 0.72 0.20 0.44 0.34 0.45 0.74 0.18 0.38 0.46 0.45 0.40 0.19 0.25 0.78 0.21 1.00 0.17 0.22 0.16 0.17 0.34 0.16 0.56
Q17 0.21 0.24 0.33 0.31 0.33 0.15 0.38 0.13 0.06 0.36 0.34 0.38 0.32 0.16 0.39 0.17 1.00 0.44 0.38 0.39 0.36 0.38 0.14
Q18 0.16 0.44 0.39 0.44 0.44 0.17 0.61 0.22 0.15 0.39 0.46 0.57 0.57 0.16 0.55 0.22 0.44 1.00 0.61 0.56 0.48 0.60 0.17
Q19 0.06 0.51 0.26 0.31 0.26 0.07 0.51 0.18 0.11 0.24 0.34 0.53 0.49 0.10 0.48 0.16 0.38 0.61 1.00 0.58 0.42 0.56 0.12
Q20 0.14 0.48 0.34 0.38 0.36 0.13 0.48 0.10 0.11 0.37 0.38 0.45 0.47 0.17 0.49 0.17 0.39 0.56 0.58 1.00 0.44 0.51 0.23
Q21 0.30 0.31 0.36 0.39 0.36 0.31 0.40 0.30 0.26 0.34 0.40 0.37 0.35 0.31 0.42 0.34 0.36 0.48 0.42 0.44 1.00 0.39 0.29
Q22 0.11 0.43 0.29 0.38 0.34 0.12 0.61 0.15 0.06 0.33 0.39 0.61 0.50 0.15 0.49 0.16 0.38 0.60 0.56 0.51 0.39 1.00 0.13
Q23 0.50 0.17 0.40 0.27 0.32 0.50 0.09 0.42 0.40 0.35 0.32 0.15 0.24 0.59 0.06 0.56 0.14 0.17 0.12 0.23 0.29 0.13 1.00
Q24 0.21 0.28 0.23 0.26 0.22 0.23 0.27 0.24 0.22 0.25 0.28 0.31 0.27 0.24 0.35 0.28 0.31 0.36 0.34 0.33 0.42 0.38 0.25
Q25 0.17 0.41 0.35 0.32 0.35 0.16 0.53 0.15 0.09 0.37 0.37 0.55 0.40 0.14 0.51 0.18 0.40 0.57 0.49 0.45 0.37 0.60 0.15
Q26 0.58 0.19 0.49 0.35 0.45 0.63 0.12 0.41 0.42 0.43 0.45 0.20 0.24 0.62 0.18 0.63 0.22 0.24 0.15 0.24 0.32 0.16 0.69
Q27 0.26 0.34 0.50 0.44 0.51 0.28 0.36 0.17 0.18 0.49 0.54 0.44 0.42 0.30 0.38 0.31 0.30 0.43 0.31 0.38 0.30 0.42 0.29
Q28 0.49 0.30 0.74 0.61 0.72 0.42 0.33 0.21 0.24 0.71 0.66 0.37 0.42 0.48 0.37 0.50 0.35 0.40 0.24 0.36 0.34 0.32 0.42
Q29 0.15 0.35 0.27 0.33 0.27 0.12 0.39 0.14 0.09 0.28 0.33 0.41 0.34 0.14 0.45 0.20 0.44 0.49 0.47 0.40 0.38 0.46 0.09
Q30 0.45 0.08 0.27 0.19 0.18 0.46 0.00 0.36 0.37 0.23 0.18 0.05 0.12 0.51 0.00 0.49 0.04 0.06 0.02 0.11 0.17 0.04 0.66
Q24 Q25 Q26 Q27 Q28 Q29 Q30
Q1 0.21 0.17 0.58 0.26 0.49 0.15 0.45
Q2 0.28 0.41 0.19 0.34 0.30 0.35 0.08
Q3 0.23 0.35 0.49 0.50 0.74 0.27 0.27
Q4 0.26 0.32 0.35 0.44 0.61 0.33 0.19
Q5 0.22 0.35 0.45 0.51 0.72 0.27 0.18
Q6 0.23 0.16 0.63 0.28 0.42 0.12 0.46
Q7 0.27 0.53 0.12 0.36 0.33 0.39 0.00
Q8 0.24 0.15 0.41 0.17 0.21 0.14 0.36
Q9 0.22 0.09 0.42 0.18 0.24 0.09 0.37
Q10 0.25 0.37 0.43 0.49 0.71 0.28 0.23
Q11 0.28 0.37 0.45 0.54 0.66 0.33 0.18
Q12 0.31 0.55 0.20 0.44 0.37 0.41 0.05
Q13 0.27 0.40 0.24 0.42 0.42 0.34 0.12
Q14 0.24 0.14 0.62 0.30 0.48 0.14 0.51
Q15 0.35 0.51 0.18 0.38 0.37 0.45 0.00
Q16 0.28 0.18 0.63 0.31 0.50 0.20 0.49
Q17 0.31 0.40 0.22 0.30 0.35 0.44 0.04
Q18 0.36 0.57 0.24 0.43 0.40 0.49 0.06
Q19 0.34 0.49 0.15 0.31 0.24 0.47 0.02
Q20 0.33 0.45 0.24 0.38 0.36 0.40 0.11
Q21 0.42 0.37 0.32 0.30 0.34 0.38 0.17
Q22 0.38 0.60 0.16 0.42 0.32 0.46 0.04
Q23 0.25 0.15 0.69 0.29 0.42 0.09 0.66
Q24 1.00 0.31 0.25 0.27 0.24 0.42 0.17
Q25 0.31 1.00 0.22 0.51 0.39 0.41 0.05
Q26 0.25 0.22 1.00 0.33 0.53 0.12 0.55
Q27 0.27 0.51 0.33 1.00 0.51 0.32 0.17
Q28 0.24 0.39 0.53 0.51 1.00 0.27 0.29
Q29 0.42 0.41 0.12 0.32 0.27 1.00 -0.01
Q30 0.17 0.05 0.55 0.17 0.29 -0.01 1.00
Sample Size
[1] 541
Probability values (Entries above the diagonal are adjusted for multiple tests.)
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25
Q1 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.01 1.00 0.05 0 0.25 0.00 0 0.01
Q2 0.00 0.00 0 0 0 0.05 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.01 0 0.00
Q3 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q4 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q5 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q6 0.00 0.00 0 0 0 0.00 0.33 0.00 0.00 0 0 0.00 0 0.00 0.01 0 0.03 0.00 1.00 0.13 0 0.13 0.00 0 0.01
Q7 0.00 0.00 0 0 0 0.01 0.00 0.07 1.00 0 0 0.00 0 0.02 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.57 0 0.00
Q8 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.04 0 0.00 0.00 0 0.13 0.00 0.00 0.55 0 0.02 0.00 0 0.03
Q9 0.00 0.00 0 0 0 0.00 0.41 0.00 0.00 0 0 0.57 0 0.00 0.06 0 1.00 0.03 0.22 0.33 0 1.00 0.00 0 0.57
Q10 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q11 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q12 0.00 0.00 0 0 0 0.00 0.00 0.00 0.03 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.02 0 0.00
Q13 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q14 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.01 0 0.01 0.02 0.55 0.01 0 0.02 0.00 0 0.05
Q15 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 1.00 0 0.00
Q16 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.01 0.00 0.01 0.00 0 0.01 0.00 0 0.00
Q17 0.00 0.00 0 0 0 0.00 0.00 0.00 0.14 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.05 0 0.00
Q18 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q19 0.20 0.00 0 0 0 0.09 0.00 0.00 0.01 0 0 0.00 0 0.03 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.13 0 0.00
Q20 0.00 0.00 0 0 0 0.00 0.00 0.02 0.01 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q21 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q22 0.01 0.00 0 0 0 0.00 0.00 0.00 0.16 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.11 0 0.00
Q23 0.00 0.00 0 0 0 0.00 0.03 0.00 0.00 0 0 0.00 0 0.00 0.15 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.02
Q24 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q25 0.00 0.00 0 0 0 0.00 0.00 0.00 0.03 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q26 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q27 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q28 0.00 0.00 0 0 0 0.00 0.00 0.00 0.00 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.00 0 0.00
Q29 0.00 0.00 0 0 0 0.00 0.00 0.00 0.03 0 0 0.00 0 0.00 0.00 0 0.00 0.00 0.00 0.00 0 0.00 0.03 0 0.00
Q30 0.00 0.07 0 0 0 0.00 0.92 0.00 0.00 0 0 0.27 0 0.00 0.96 0 0.35 0.19 0.67 0.01 0 0.36 0.00 0 0.28
Q26 Q27 Q28 Q29 Q30
Q1 0.00 0 0 0.02 0.00
Q2 0.00 0 0 0.00 1.00
Q3 0.00 0 0 0.00 0.00
Q4 0.00 0 0 0.00 0.00
Q5 0.00 0 0 0.00 0.00
Q6 0.00 0 0 0.15 0.00
Q7 0.13 0 0 0.00 1.00
Q8 0.00 0 0 0.04 0.00
Q9 0.00 0 0 0.57 0.00
Q10 0.00 0 0 0.00 0.00
Q11 0.00 0 0 0.00 0.00
Q12 0.00 0 0 0.00 1.00
Q13 0.00 0 0 0.00 0.14
Q14 0.00 0 0 0.03 0.00
Q15 0.00 0 0 0.00 1.00
Q16 0.00 0 0 0.00 0.00
Q17 0.00 0 0 0.00 1.00
Q18 0.00 0 0 0.00 1.00
Q19 0.02 0 0 0.00 1.00
Q20 0.00 0 0 0.00 0.33
Q21 0.00 0 0 0.00 0.00
Q22 0.01 0 0 0.00 1.00
Q23 0.00 0 0 0.57 0.00
Q24 0.00 0 0 0.00 0.01
Q25 0.00 0 0 0.00 1.00
Q26 0.00 0 0 0.17 0.00
Q27 0.00 0 0 0.00 0.00
Q28 0.00 0 0 0.00 0.00
Q29 0.01 0 0 0.00 1.00
Q30 0.00 0 0 0.80 0.00
To see confidence intervals of the correlations, print with the short=FALSE option# Run Bartlett and KMO test in rela package with paf()
paf.corfact = paf(factdat,eigcrit=1,convcrit=.001)
summary(paf.corfact)$`KMO`
[1] 0.94851
$MSA
MSA
Q1 0.93604
Q2 0.94134
Q3 0.95321
Q4 0.96563
Q5 0.95486
Q6 0.94073
Q7 0.95198
Q8 0.88483
Q9 0.88555
Q10 0.95114
Q11 0.95262
Q12 0.97072
Q13 0.96418
Q14 0.93025
Q15 0.96883
Q16 0.92798
Q17 0.96045
Q18 0.96319
Q19 0.94516
Q20 0.94906
Q21 0.97097
Q22 0.95333
Q23 0.91266
Q24 0.95542
Q25 0.94483
Q26 0.94573
Q27 0.96563
Q28 0.96663
Q29 0.95180
Q30 0.91374
$Bartlett
[1] 10397
$Communalities
Initial Communalities Final Extraction
Q1 0.67664 0.67891
Q2 0.44977 0.38343
Q3 0.73169 0.75092
Q4 0.60103 0.58932
Q5 0.75629 0.80721
Q6 0.66758 0.64560
Q7 0.57340 0.55264
Q8 0.44679 0.55606
Q9 0.48729 0.58838
Q10 0.72757 0.74593
Q11 0.70764 0.72655
Q12 0.53660 0.53800
Q13 0.50148 0.46746
Q14 0.72145 0.75190
Q15 0.50847 0.50854
Q16 0.73612 0.73368
Q17 0.34897 0.30709
Q18 0.62756 0.64740
Q19 0.56694 0.58467
Q20 0.51594 0.47913
Q21 0.40992 0.39120
Q22 0.58569 0.59461
Q23 0.63363 0.55665
Q24 0.32306 0.29292
Q25 0.54310 0.50023
Q26 0.64925 0.62592
Q27 0.45432 0.40641
Q28 0.68200 0.69557
Q29 0.41718 0.38220
Q30 0.50904 0.45124
$Factor.Loadings
[,1] [,2] [,3] [,4]
Q1 0.57415 0.523008 0.037386 0.27262550
Q2 0.54321 -0.271989 0.107796 -0.05251160
Q3 0.75096 0.151539 -0.403927 -0.02929374
Q4 0.70118 -0.030842 -0.293686 -0.10226416
Q5 0.76729 0.098211 -0.443796 -0.10895761
Q6 0.56078 0.557129 0.126875 0.06809162
Q7 0.59536 -0.433809 0.056245 0.08263077
Q8 0.41415 0.288039 0.323101 -0.44405143
Q9 0.41625 0.395478 0.226985 -0.45517918
Q10 0.74864 0.109042 -0.415549 -0.03012018
Q11 0.76677 0.019622 -0.321652 -0.18646498
Q12 0.62274 -0.377485 0.057823 0.06600840
Q13 0.63154 -0.245741 0.027064 -0.08656449
Q14 0.58985 0.565470 0.119984 0.26425022
Q15 0.60517 -0.373455 0.053156 -0.00493425
Q16 0.61856 0.538150 0.167226 0.18302100
Q17 0.49271 -0.232532 0.028939 0.09706283
Q18 0.67381 -0.417125 0.138069 -0.01815475
Q19 0.54914 -0.457174 0.270217 -0.03311215
Q20 0.58742 -0.342823 0.121590 0.04195269
Q21 0.58483 -0.096350 0.197591 -0.02896355
Q22 0.59876 -0.448945 0.164774 0.08593115
Q23 0.51405 0.493757 0.220461 0.00308552
Q24 0.46400 -0.099411 0.260274 0.00095883
Q25 0.59021 -0.366823 0.092224 0.09391141
Q26 0.60582 0.492658 0.122291 0.03518851
Q27 0.61915 -0.090988 -0.118988 0.02502910
Q28 0.74364 0.153005 -0.339158 0.06426892
Q29 0.49904 -0.327903 0.148443 0.05998906
Q30 0.35537 0.520061 0.233425 -0.00076674
$RMS
[1] 0.029429# Test significance of the Bartlett test
cortest.bartlett(corfact, n = 541)$`chisq`
[1] 10397
$p.value
[1] 0
$df
[1] 435# Alternative tests
cortest.mat(corfact, n1 = 541) # Alternative testBartlett's test of is R = ITests of correlation matrices
Call:cortest.mat(R1 = corfact, n1 = 541)
Chi Square value 10397 with df = 435 with probability < 0 cortest.normal(corfact,n1=541,fisher=TRUE) # Steiger testTests of correlation matrices
Call:cortest.normal(R1 = corfact, n1 = 541, fisher = TRUE)
Chi Square value 42083 with df = 435 with probability < 0 # Determinant of the correlation matrix
options(scipen=999)
det(corfact)[1] 0.0000000029314# Cronbach reliability
itemanal(corfact)$`Variables`
Variable.type No.of.cases Minimum Maximum Sum
Q1 numeric 30 0.05507161682394 1 10.6848300879288
Q2 numeric 30 0.077516487683023 1 10.3011616198073
Q3 numeric 30 0.225456325792644 1 13.2739317013838
Q4 numeric 30 0.194810077814897 1 12.6077737841948
Q5 numeric 30 0.175173194761382 1 13.4378760663319
Q6 numeric 30 0.0741188151162137 1 10.5832500866881
Q7 numeric 30 -0.00457146390447808 1 10.9270267871139
Q8 numeric 30 0.0970803732613664 1 8.27477018665852
Q9 numeric 30 0.0352328296496824 1 8.20366336025283
Q10 numeric 30 0.216917416732776 1 13.2173637943455
Q11 numeric 30 0.178288741998115 1 13.6249157617318
Q12 numeric 30 0.0476042015267843 1 11.4715124467496
Q13 numeric 30 0.122404816530744 1 11.7165263963136
Q14 numeric 30 0.0962309132472474 1 10.9724883692041
Q15 numeric 30 -0.00213035955793613 1 11.1990495995572
Q16 numeric 30 0.15727887075846 1 11.5470536479671
Q17 numeric 30 0.0403966452236111 1 9.41089039546622
Q18 numeric 30 0.0564635626123322 1 12.3411340864726
Q19 numeric 30 0.0183651005618714 1 10.2981329603519
Q20 numeric 30 0.0970803732613664 1 10.9859562464809
Q21 numeric 30 0.171240404857517 1 11.1850680147157
Q22 numeric 30 0.039743444892205 1 11.0728153579485
Q23 numeric 30 0.0624008724141407 1 9.97062249988813
Q24 numeric 30 0.165630772326554 1 9.20259718357733
Q25 numeric 30 0.0466900768185589 1 10.976654414354
Q26 numeric 30 0.118237320479447 1 11.4131184836466
Q27 numeric 30 0.172270044090147 1 11.4602329483366
Q28 numeric 30 0.212287606972704 1 13.2439166009429
Q29 numeric 30 -0.0110830315740968 1 9.55206265949631
Q30 numeric 30 -0.0110830315740968 1 7.23739501017942
$Tendency
Mean Median SD SE.mean Lower Upper Variance
Q1 0.35616 0.29006 0.040283 0.00134276 0.27721 0.43512 0.050304
Q2 0.34337 0.34252 0.031114 0.00103712 0.28239 0.40435 0.030010
Q3 0.44246 0.38413 0.033866 0.00112885 0.37609 0.50884 0.035553
Q4 0.42026 0.37736 0.030748 0.00102494 0.35999 0.48053 0.029309
Q5 0.44793 0.40076 0.034477 0.00114924 0.38035 0.51550 0.036849
Q6 0.35278 0.31799 0.041217 0.00137389 0.27199 0.43356 0.052664
Q7 0.36423 0.38305 0.038510 0.00128368 0.28875 0.43971 0.045974
Q8 0.27583 0.22604 0.031638 0.00105460 0.21382 0.33784 0.031030
Q9 0.27346 0.23840 0.035600 0.00118665 0.20368 0.34323 0.039287
Q10 0.44058 0.38580 0.033663 0.00112211 0.37460 0.50656 0.035130
Q11 0.45416 0.39896 0.030957 0.00103191 0.39349 0.51484 0.029709
Q12 0.38238 0.39852 0.035237 0.00117456 0.31332 0.45145 0.038491
Q13 0.39055 0.42041 0.030017 0.00100056 0.33172 0.44938 0.027931
Q14 0.36575 0.31425 0.041237 0.00137457 0.28493 0.44657 0.052715
Q15 0.37330 0.39710 0.035032 0.00116774 0.30464 0.44196 0.038045
Q16 0.38490 0.33737 0.039296 0.00130985 0.30788 0.46192 0.047868
Q17 0.31370 0.33270 0.030674 0.00102245 0.25358 0.37382 0.029167
Q18 0.41137 0.43717 0.035786 0.00119286 0.34123 0.48151 0.039699
Q19 0.34327 0.32702 0.038579 0.00128595 0.26766 0.41889 0.046137
Q20 0.36620 0.37932 0.033524 0.00111747 0.30049 0.43191 0.034840
Q21 0.37284 0.35815 0.023938 0.00079795 0.32592 0.41976 0.017765
Q22 0.36909 0.37880 0.038048 0.00126827 0.29452 0.44367 0.044877
Q23 0.33235 0.28658 0.038643 0.00128809 0.25661 0.40809 0.046291
Q24 0.30675 0.27092 0.025974 0.00086579 0.25584 0.35766 0.020913
Q25 0.36589 0.37305 0.034905 0.00116351 0.29747 0.43430 0.037770
Q26 0.38044 0.34089 0.037350 0.00124500 0.30723 0.45364 0.043246
Q27 0.38201 0.35156 0.028011 0.00093369 0.32711 0.43691 0.024323
Q28 0.44146 0.39325 0.032586 0.00108621 0.37759 0.50533 0.032918
Q29 0.31840 0.32926 0.033616 0.00112055 0.25251 0.38429 0.035032
Q30 0.24125 0.17481 0.042305 0.00141016 0.15833 0.32416 0.055481
$Skewness
Skewness SE.skew Lower Upper
Q1 0.00000051972 0.44721 0.87654 -0.87654
Q2 0.00000023948 0.44721 0.87654 -0.87654
Q3 0.00000030881 0.44721 0.87654 -0.87654
Q4 0.00000023114 0.44721 0.87654 -0.87654
Q5 0.00000032585 0.44721 0.87654 -0.87654
Q6 0.00000055672 0.44721 0.87654 -0.87654
Q7 0.00000045409 0.44721 0.87654 -0.87654
Q8 0.00000025179 0.44721 0.87654 -0.87654
Q9 0.00000035871 0.44721 0.87654 -0.87654
Q10 0.00000030331 0.44721 0.87654 -0.87654
Q11 0.00000023589 0.44721 0.87654 -0.87654
Q12 0.00000034786 0.44721 0.87654 -0.87654
Q13 0.00000021504 0.44721 0.87654 -0.87654
Q14 0.00000055754 0.44721 0.87654 -0.87654
Q15 0.00000034183 0.44721 0.87654 -0.87654
Q16 0.00000048244 0.44721 0.87654 -0.87654
Q17 0.00000022946 0.44721 0.87654 -0.87654
Q18 0.00000036437 0.44721 0.87654 -0.87654
Q19 0.00000045651 0.44721 0.87654 -0.87654
Q20 0.00000029956 0.44721 0.87654 -0.87654
Q21 0.00000010907 0.44721 0.87654 -0.87654
Q22 0.00000043794 0.44721 0.87654 -0.87654
Q23 0.00000045879 0.44721 0.87654 -0.87654
Q24 0.00000013932 0.44721 0.87654 -0.87654
Q25 0.00000033813 0.44721 0.87654 -0.87654
Q26 0.00000041427 0.44721 0.87654 -0.87654
Q27 0.00000017474 0.44721 0.87654 -0.87654
Q28 0.00000027512 0.44721 0.87654 -0.87654
Q29 0.00000030204 0.44721 0.87654 -0.87654
Q30 0.00000060198 0.44721 0.87654 -0.87654
$Kurtosis
Kurtosis SE.kurtosis Lower Upper
Q1 0.0000000188858 0.89443 1.7531 -1.7531
Q2 0.0000000067215 0.89443 1.7531 -1.7531
Q3 0.0000000094339 0.89443 1.7531 -1.7531
Q4 0.0000000064113 0.89443 1.7531 -1.7531
Q5 0.0000000101343 0.89443 1.7531 -1.7531
Q6 0.0000000206993 0.89443 1.7531 -1.7531
Q7 0.0000000157749 0.89443 1.7531 -1.7531
Q8 0.0000000071862 0.89443 1.7531 -1.7531
Q9 0.0000000115195 0.89443 1.7531 -1.7531
Q10 0.0000000092106 0.89443 1.7531 -1.7531
Q11 0.0000000065873 0.89443 1.7531 -1.7531
Q12 0.0000000110572 0.89443 1.7531 -1.7531
Q13 0.0000000058227 0.89443 1.7531 -1.7531
Q14 0.0000000207398 0.89443 1.7531 -1.7531
Q15 0.0000000108025 0.89443 1.7531 -1.7531
Q16 0.0000000171014 0.89443 1.7531 -1.7531
Q17 0.0000000063492 0.89443 1.7531 -1.7531
Q18 0.0000000117624 0.89443 1.7531 -1.7531
Q19 0.0000000158870 0.89443 1.7531 -1.7531
Q20 0.0000000090591 0.89443 1.7531 -1.7531
Q21 0.0000000023553 0.89443 1.7531 -1.7531
Q22 0.0000000150311 0.89443 1.7531 -1.7531
Q23 0.0000000159930 0.89443 1.7531 -1.7531
Q24 0.0000000032643 0.89443 1.7531 -1.7531
Q25 0.0000000106468 0.89443 1.7531 -1.7531
Q26 0.0000000139580 0.89443 1.7531 -1.7531
Q27 0.0000000044152 0.89443 1.7531 -1.7531
Q28 0.0000000080873 0.89443 1.7531 -1.7531
Q29 0.0000000091593 0.89443 1.7531 -1.7531
Q30 0.0000000229730 0.89443 1.7531 -1.7531
$Covariance
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9
Q1 0.0503037 -0.02221813 0.01735861 0.00181041 0.01363481 0.0471193 -0.0308081 0.0131500 0.023366558
Q2 -0.0222181 0.03000987 -0.00140720 0.00743278 0.00083849 -0.0262743 0.0254310 -0.0149662 -0.018506136
Q3 0.0173586 -0.00140720 0.03555306 0.02555781 0.03388572 0.0137601 -0.0017098 -0.0046751 0.001654774
Q4 0.0018104 0.00743278 0.02555781 0.02930920 0.02760783 -0.0018353 0.0117320 -0.0089617 -0.006861851
Q5 0.0136348 0.00083849 0.03388572 0.02760783 0.03684927 0.0106272 0.0037277 -0.0051579 0.000823614
Q6 0.0471193 -0.02627427 0.01376007 -0.00183526 0.01062719 0.0526635 -0.0364428 0.0211946 0.031224106
Q7 -0.0308081 0.02543096 -0.00170980 0.01173196 0.00372773 -0.0364428 0.0459744 -0.0240805 -0.032154009
Q8 0.0131500 -0.01496616 -0.00467506 -0.00896174 -0.00515794 0.0211946 -0.0240805 0.0310300 0.027826970
Q9 0.0233666 -0.01850614 0.00165477 -0.00686185 0.00082361 0.0312241 -0.0321540 0.0278270 0.039287091
Q10 0.0147558 -0.00135680 0.03266918 0.02526880 0.03386430 0.0108187 0.0025367 -0.0066330 0.000091316
Q11 0.0049129 0.00307191 0.02721462 0.02472425 0.02990378 0.0032373 0.0079477 -0.0061599 -0.000764587
Q12 -0.0276921 0.02227784 0.00044987 0.01040089 0.00436064 -0.0314949 0.0356452 -0.0221678 -0.028191020
Q13 -0.0199993 0.01956080 0.00512739 0.01157977 0.00838549 -0.0222713 0.0251828 -0.0147881 -0.016274000
Q14 0.0486847 -0.02437315 0.01538097 -0.00084370 0.01087765 0.0485077 -0.0344227 0.0158441 0.026142611
Q15 -0.0278321 0.02165788 -0.00038345 0.01141411 0.00452258 -0.0315723 0.0340827 -0.0201561 -0.025774727
Q16 0.0456252 -0.02343810 0.01286308 -0.00199552 0.00955033 0.0472995 -0.0329361 0.0171727 0.027164578
Q17 -0.0180907 0.00788868 0.00054095 0.00510978 0.00241479 -0.0225929 0.0198244 -0.0176667 -0.022626873
Q18 -0.0320687 0.02196787 -0.00198846 0.00926986 0.00275661 -0.0347071 0.0368166 -0.0205454 -0.027825154
Q19 -0.0387455 0.02644567 -0.01134568 0.00193236 -0.00784622 -0.0405961 0.0355378 -0.0204516 -0.028991932
Q20 -0.0283984 0.02135953 -0.00240656 0.00675669 0.00051768 -0.0318975 0.0290624 -0.0219897 -0.026201216
Q21 -0.0085657 0.00410246 -0.00157793 0.00291854 -0.00012737 -0.0088257 0.0103815 -0.0047209 -0.007775721
Q22 -0.0350968 0.02318688 -0.00659375 0.00647750 -0.00181946 -0.0380202 0.0391184 -0.0235493 -0.032172495
Q23 0.0353844 -0.02395734 0.00790315 -0.00694977 0.00194059 0.0379276 -0.0362694 0.0198644 0.026075244
Q24 -0.0122133 0.00254643 -0.00971477 -0.00464832 -0.00903277 -0.0117835 0.0047925 -0.0053177 -0.008345742
Q25 -0.0282758 0.01913010 -0.00185331 0.00579540 0.00126041 -0.0314792 0.0328807 -0.0215311 -0.028039062
Q26 0.0383840 -0.02298041 0.01457785 -0.00096419 0.00998793 0.0410491 -0.0331680 0.0175168 0.024848052
Q27 -0.0061239 0.00688280 0.01435310 0.01344937 0.01597068 -0.0080998 0.0122044 -0.0125882 -0.011801090
Q28 0.0178784 -0.00344638 0.03141701 0.02261050 0.03097539 0.0137128 -0.0019247 -0.0056025 0.000334714
Q29 -0.0271754 0.01545991 -0.00697186 0.00327678 -0.00425518 -0.0304536 0.0251035 -0.0189539 -0.025075521
Q30 0.0369888 -0.02766579 0.00311137 -0.01097529 -0.00378981 0.0404030 -0.0415610 0.0222842 0.029179822
Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18
Q1 0.014755816 0.00491294 -0.02769214 -0.01999932 0.0486847 -0.02783210 0.0456252 -0.01809069 -0.03206872
Q2 -0.001356801 0.00307191 0.02227784 0.01956080 -0.0243731 0.02165788 -0.0234381 0.00788868 0.02196787
Q3 0.032669184 0.02721462 0.00044987 0.00512739 0.0153810 -0.00038345 0.0128631 0.00054095 -0.00198846
Q4 0.025268800 0.02472425 0.01040089 0.01157977 -0.0008437 0.01141411 -0.0019955 0.00510978 0.00926986
Q5 0.033864298 0.02990378 0.00436064 0.00838549 0.0108776 0.00452258 0.0095503 0.00241479 0.00275661
Q6 0.010818733 0.00323731 -0.03149485 -0.02227127 0.0485077 -0.03157231 0.0472995 -0.02259289 -0.03470711
Q7 0.002536653 0.00794768 0.03564524 0.02518281 -0.0344227 0.03408269 -0.0329361 0.01982436 0.03681656
Q8 -0.006633049 -0.00615989 -0.02216777 -0.01478814 0.0158441 -0.02015614 0.0171727 -0.01766667 -0.02054536
Q9 0.000091316 -0.00076459 -0.02819102 -0.01627400 0.0261426 -0.02577473 0.0271646 -0.02262687 -0.02782515
Q10 0.035129897 0.02884215 0.00334390 0.00626575 0.0116409 0.00290606 0.0103525 0.00315053 0.00061641
Q11 0.028842154 0.02970886 0.00852139 0.01059736 0.0028156 0.00824518 0.0024182 0.00413865 0.00689377
Q12 0.003343897 0.00852139 0.03849058 0.02240880 -0.0303438 0.03031121 -0.0295016 0.01739038 0.03195590
Q13 0.006265746 0.01059736 0.02240880 0.02793144 -0.0202431 0.02143538 -0.0199889 0.00990002 0.02449745
Q14 0.011640931 0.00281561 -0.03034377 -0.02024306 0.0527151 -0.03128210 0.0482902 -0.02160127 -0.03442649
Q15 0.002906058 0.00824518 0.03031121 0.02143538 -0.0312821 0.03804482 -0.0291637 0.01834305 0.03130444
Q16 0.010352530 0.00241822 -0.02950160 -0.01998894 0.0482902 -0.02916366 0.0478684 -0.02133318 -0.03207544
Q17 0.003150528 0.00413865 0.01739038 0.00990002 -0.0216013 0.01834305 -0.0213332 0.02916702 0.02004698
Q18 0.000616414 0.00689377 0.03195590 0.02449745 -0.0344265 0.03130444 -0.0320754 0.02004698 0.03969912
Q19 -0.009325471 -0.00107986 0.03188212 0.02315447 -0.0395127 0.03068077 -0.0367193 0.01874761 0.03626088
Q20 0.000036842 0.00401235 0.02493994 0.01973724 -0.0295409 0.02575873 -0.0288901 0.01697860 0.02942690
Q21 -0.001179547 0.00163441 0.00758174 0.00442001 -0.0091478 0.00998102 -0.0080917 0.00691926 0.01171613
Q22 -0.002906414 0.00345142 0.03552481 0.02339362 -0.0364582 0.03147513 -0.0351638 0.01932928 0.03606960
Q23 0.003619709 -0.00313248 -0.03126961 -0.02053917 0.0400213 -0.03447436 0.0370956 -0.02256154 -0.03290590
Q24 -0.008251234 -0.00585536 0.00494247 0.00055103 -0.0115870 0.00689015 -0.0100935 0.00533246 0.00711919
Q25 0.000940484 0.00485943 0.03038063 0.01830447 -0.0313408 0.02834441 -0.0296463 0.01842940 0.03116917
Q26 0.010594038 0.00417853 -0.02795797 -0.01885262 0.0410714 -0.02908835 0.0388630 -0.01849800 -0.02961540
Q27 0.015081826 0.01604959 0.01371773 0.01113246 -0.0068206 0.01125679 -0.0072633 0.00643316 0.01186060
Q28 0.030475507 0.02492822 -0.00009790 0.00396840 0.0160258 -0.00065345 0.0143266 0.00095971 -0.00208847
Q29 -0.004435916 0.00046536 0.02247648 0.01338087 -0.0294273 0.02436282 -0.0270871 0.01975058 0.02611474
Q30 -0.001242090 -0.00875258 -0.03645024 -0.02530154 0.0416268 -0.03877480 0.0386305 -0.02702115 -0.03862500
Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27
Q1 -0.0387455 -0.028398384 -0.00856574 -0.0350968 0.0353844 -0.01221327 -0.02827578 0.03838401 -0.00612391
Q2 0.0264457 0.021359533 0.00410246 0.0231869 -0.0239573 0.00254643 0.01913010 -0.02298041 0.00688280
Q3 -0.0113457 -0.002406559 -0.00157793 -0.0065937 0.0079032 -0.00971477 -0.00185331 0.01457785 0.01435310
Q4 0.0019324 0.006756693 0.00291854 0.0064775 -0.0069498 -0.00464832 0.00579540 -0.00096419 0.01344937
Q5 -0.0078462 0.000517678 -0.00012737 -0.0018195 0.0019406 -0.00903277 0.00126041 0.00998793 0.01597068
Q6 -0.0405961 -0.031897457 -0.00882570 -0.0380202 0.0379276 -0.01178349 -0.03147925 0.04104910 -0.00809979
Q7 0.0355378 0.029062396 0.01038151 0.0391184 -0.0362694 0.00479253 0.03288070 -0.03316799 0.01220442
Q8 -0.0204516 -0.021989680 -0.00472091 -0.0235493 0.0198644 -0.00531772 -0.02153113 0.01751684 -0.01258823
Q9 -0.0289919 -0.026201216 -0.00777572 -0.0321725 0.0260752 -0.00834574 -0.02803906 0.02484805 -0.01180109
Q10 -0.0093255 0.000036842 -0.00117955 -0.0029064 0.0036197 -0.00825123 0.00094048 0.01059404 0.01508183
Q11 -0.0010799 0.004012348 0.00163441 0.0034514 -0.0031325 -0.00585536 0.00485943 0.00417853 0.01604959
Q12 0.0318821 0.024939941 0.00758174 0.0355248 -0.0312696 0.00494247 0.03038063 -0.02795797 0.01371773
Q13 0.0231545 0.019737240 0.00442001 0.0233936 -0.0205392 0.00055103 0.01830447 -0.01885262 0.01113246
Q14 -0.0395127 -0.029540897 -0.00914776 -0.0364582 0.0400213 -0.01158702 -0.03134081 0.04107139 -0.00682059
Q15 0.0306808 0.025758730 0.00998102 0.0314751 -0.0344744 0.00689015 0.02834441 -0.02908835 0.01125679
Q16 -0.0367193 -0.028890101 -0.00809167 -0.0351638 0.0370956 -0.01009351 -0.02964627 0.03886302 -0.00726331
Q17 0.0187476 0.016978596 0.00691926 0.0193293 -0.0225615 0.00533246 0.01842940 -0.01849800 0.00643316
Q18 0.0362609 0.029426904 0.01171613 0.0360696 -0.0329059 0.00711919 0.03116917 -0.02961540 0.01186060
Q19 0.0461375 0.032381824 0.01124723 0.0374600 -0.0355602 0.00942306 0.03030314 -0.03483168 0.00631284
Q20 0.0323818 0.034839718 0.00996514 0.0296892 -0.0258030 0.00627857 0.02466010 -0.02479758 0.00972395
Q21 0.0112472 0.009965135 0.01776460 0.0095942 -0.0097482 0.00676060 0.00767672 -0.00830790 0.00053309
Q22 0.0374600 0.029689168 0.00959420 0.0448774 -0.0354118 0.00927963 0.03463205 -0.03341253 0.01242504
Q23 -0.0355602 -0.025803015 -0.00974818 -0.0354118 0.0462911 -0.01014172 -0.03016247 0.04024303 -0.00861789
Q24 0.0094231 0.006278569 0.00676060 0.0092796 -0.0101417 0.02091346 0.00550733 -0.01109683 -0.00207938
Q25 0.0303031 0.024660102 0.00767672 0.0346321 -0.0301625 0.00550733 0.03776958 -0.02672352 0.01558344
Q26 -0.0348317 -0.024797579 -0.00830790 -0.0334125 0.0402430 -0.01109683 -0.02672352 0.04324576 -0.00484644
Q27 0.0063128 0.009723952 0.00053309 0.0124250 -0.0086179 -0.00207938 0.01558344 -0.00484644 0.02432253
Q28 -0.0117640 -0.002040293 -0.00196877 -0.0057587 0.0093004 -0.00881844 -0.00064798 0.01595247 0.01447856
Q29 0.0281473 0.020996601 0.00918013 0.0274582 -0.0306659 0.01198960 0.02237715 -0.02886655 0.00609850
Q30 -0.0404247 -0.031041070 -0.01299928 -0.0402544 0.0460634 -0.01179812 -0.03525590 0.04017644 -0.01331033
Q28 Q29 Q30
Q1 0.01787835 -0.02717541 0.0369888
Q2 -0.00344638 0.01545991 -0.0276658
Q3 0.03141701 -0.00697186 0.0031114
Q4 0.02261050 0.00327678 -0.0109753
Q5 0.03097539 -0.00425518 -0.0037898
Q6 0.01371279 -0.03045357 0.0404030
Q7 -0.00192470 0.02510349 -0.0415610
Q8 -0.00560254 -0.01895389 0.0222842
Q9 0.00033471 -0.02507552 0.0291798
Q10 0.03047551 -0.00443592 -0.0012421
Q11 0.02492822 0.00046536 -0.0087526
Q12 -0.00009790 0.02247648 -0.0364502
Q13 0.00396840 0.01338087 -0.0253015
Q14 0.01602578 -0.02942733 0.0416268
Q15 -0.00065345 0.02436282 -0.0387748
Q16 0.01432662 -0.02708715 0.0386305
Q17 0.00095971 0.01975058 -0.0270212
Q18 -0.00208847 0.02611474 -0.0386250
Q19 -0.01176404 0.02814730 -0.0404247
Q20 -0.00204029 0.02099660 -0.0310411
Q21 -0.00196877 0.00918013 -0.0129993
Q22 -0.00575867 0.02745821 -0.0402544
Q23 0.00930043 -0.03066589 0.0460634
Q24 -0.00881844 0.01198960 -0.0117981
Q25 -0.00064798 0.02237715 -0.0352559
Q26 0.01595247 -0.02886655 0.0401764
Q27 0.01447856 0.00609850 -0.0133103
Q28 0.03291816 -0.00691223 0.0045233
Q29 -0.00691223 0.03503197 -0.0351563
Q30 0.00452332 -0.03515631 0.0554806
$Correlation
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11
Q1 1.000000 -0.571841 0.410465 0.047149 0.3166903 0.915470 -0.640629 0.33284 0.5256176 0.3510144 0.127086
Q2 -0.571841 1.000000 -0.043081 0.250621 0.0252145 -0.660912 0.684656 -0.49044 -0.5389628 -0.0417874 0.102881
Q3 0.410465 -0.043081 1.000000 0.791741 0.9361895 0.318000 -0.042291 -0.14075 0.0442767 0.9244030 0.837376
Q4 0.047149 0.250621 0.791741 1.000000 0.8400706 -0.046713 0.319603 -0.29717 -0.2022155 0.7874885 0.837873
Q5 0.316690 0.025214 0.936189 0.840071 1.0000000 0.241240 0.090568 -0.15254 0.0216463 0.9412158 0.903792
Q6 0.915470 -0.660912 0.318000 -0.046713 0.2412398 1.000000 -0.740626 0.52430 0.6864518 0.2515260 0.081844
Q7 -0.640629 0.684656 -0.042291 0.319603 0.0905675 -0.740626 1.000000 -0.63755 -0.7565752 0.0631196 0.215050
Q8 0.332839 -0.490441 -0.140753 -0.297166 -0.1525354 0.524298 -0.637554 1.00000 0.7969845 -0.2009017 -0.202880
Q9 0.525618 -0.538963 0.044277 -0.202215 0.0216463 0.686452 -0.756575 0.79698 1.0000000 0.0024580 -0.022380
Q10 0.351014 -0.041787 0.924403 0.787488 0.9412158 0.251526 0.063120 -0.20090 0.0024580 1.0000000 0.892784
Q11 0.127086 0.102881 0.837376 0.837873 0.9037925 0.081844 0.215050 -0.20288 -0.0223799 0.8927838 1.000000
Q12 -0.629331 0.655487 0.012161 0.309664 0.1157867 -0.699531 0.847357 -0.64144 -0.7249509 0.0909363 0.251994
Q13 -0.533542 0.675629 0.162709 0.404717 0.2613770 -0.580689 0.702748 -0.50231 -0.4912728 0.2000266 0.367882
Q14 0.945421 -0.612791 0.355286 -0.021464 0.2468045 0.920637 -0.699229 0.39175 0.5744558 0.2705091 0.071148
Q15 -0.636207 0.640968 -0.010426 0.341816 0.1207882 -0.705348 0.814945 -0.58664 -0.6666860 0.0794910 0.245250
Q16 0.929780 -0.618395 0.311804 -0.053276 0.2273944 0.942056 -0.702085 0.44558 0.6264028 0.2524549 0.064125
Q17 -0.472290 0.266641 0.016799 0.174765 0.0736577 -0.576462 0.541371 -0.58724 -0.6684263 0.0984235 0.140595
Q18 -0.717615 0.636452 -0.052928 0.271757 0.0720727 -0.759054 0.861777 -0.58537 -0.7045669 0.0165061 0.200735
Q19 -0.804256 0.710715 -0.280133 0.052548 -0.1902913 -0.823574 0.771624 -0.54052 -0.6809657 -0.2316356 -0.029167
Q20 -0.678354 0.660575 -0.068379 0.211444 0.0144480 -0.744670 0.726166 -0.66879 -0.7082053 0.0010531 0.124715
Q21 -0.286541 0.177678 -0.062787 0.127904 -0.0049781 -0.288547 0.363266 -0.20107 -0.2943324 -0.0472171 0.071144
Q22 -0.738675 0.631825 -0.165075 0.178604 -0.0447418 -0.782069 0.861210 -0.63106 -0.7662069 -0.0731990 0.094524
Q23 0.733269 -0.642773 0.194811 -0.188677 0.0469863 0.768159 -0.786200 0.52412 0.6114409 0.0897607 -0.084469
Q24 -0.376547 0.101645 -0.356271 -0.187751 -0.3253820 -0.355064 0.154559 -0.20875 -0.2911569 -0.3044160 -0.234908
Q25 -0.648699 0.568217 -0.050575 0.174185 0.0337853 -0.705827 0.789063 -0.62893 -0.7278929 0.0258192 0.145068
Q26 0.822960 -0.637902 0.371778 -0.027083 0.2502012 0.860155 -0.743857 0.47818 0.6028311 0.2718012 0.116576
Q27 -0.175075 0.254759 0.488093 0.503728 0.5334634 -0.226315 0.364968 -0.45822 -0.3817621 0.5159542 0.597058
Q28 0.439349 -0.109651 0.918351 0.727931 0.8893743 0.329346 -0.049475 -0.17530 0.0093075 0.8961789 0.797133
Q29 -0.647357 0.476807 -0.197550 0.102262 -0.1184325 -0.709008 0.625524 -0.57488 -0.6759160 -0.1264482 0.014425
Q30 0.700164 -0.678016 0.070056 -0.272172 -0.0838171 0.747460 -0.822919 0.53707 0.6250100 -0.0281348 -0.215587
Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22
Q1 -0.6293313 -0.533542 0.945421 -0.636207 0.929780 -0.472290 -0.717615 -0.804256 -0.6783540 -0.2865413 -0.738675
Q2 0.6554867 0.675629 -0.612791 0.640968 -0.618395 0.266641 0.636452 0.710715 0.6605754 0.1776784 0.631825
Q3 0.0121612 0.162709 0.355286 -0.010426 0.311804 0.016799 -0.052928 -0.280133 -0.0683787 -0.0627872 -0.165075
Q4 0.3096644 0.404717 -0.021464 0.341816 -0.053276 0.174765 0.271757 0.052548 0.2114438 0.1279044 0.178604
Q5 0.1157867 0.261377 0.246805 0.120788 0.227394 0.073658 0.072073 -0.190291 0.0144480 -0.0049781 -0.044742
Q6 -0.6995315 -0.580689 0.920637 -0.705348 0.942056 -0.576462 -0.759054 -0.823574 -0.7446698 -0.2885470 -0.782069
Q7 0.8473567 0.702748 -0.699229 0.814945 -0.702085 0.541371 0.861777 0.771624 0.7261662 0.3632662 0.861210
Q8 -0.6414365 -0.502315 0.391749 -0.586636 0.445579 -0.587243 -0.585373 -0.540517 -0.6687912 -0.2010743 -0.631063
Q9 -0.7249509 -0.491273 0.574456 -0.666686 0.626403 -0.668426 -0.704567 -0.680966 -0.7082053 -0.2943324 -0.766207
Q10 0.0909363 0.200027 0.270509 0.079491 0.252455 0.098424 0.016506 -0.231636 0.0010531 -0.0472171 -0.073199
Q11 0.2519939 0.367882 0.071148 0.245250 0.064125 0.140595 0.200735 -0.029167 0.1247149 0.0711443 0.094524
Q12 1.0000000 0.683431 -0.673635 0.792097 -0.687296 0.519022 0.817492 0.756559 0.6810529 0.2899437 0.854753
Q13 0.6834311 1.000000 -0.527548 0.657562 -0.546662 0.346851 0.735671 0.645002 0.6327067 0.1984262 0.660750
Q14 -0.6736353 -0.527548 1.000000 -0.698523 0.961319 -0.550891 -0.752549 -0.801202 -0.6893170 -0.2989303 -0.749573
Q15 0.7920966 0.657562 -0.698523 1.000000 -0.683392 0.550653 0.805504 0.732304 0.7075210 0.3839278 0.761739
Q16 -0.6872962 -0.546662 0.961319 -0.683392 1.000000 -0.570933 -0.735797 -0.781346 -0.7074364 -0.2774829 -0.758678
Q17 0.5190219 0.346851 -0.550891 0.550653 -0.570933 1.000000 0.589132 0.511061 0.5326211 0.3039737 0.534264
Q18 0.8174917 0.735671 -0.752549 0.805504 -0.735797 0.589132 1.000000 0.847268 0.7912557 0.4411803 0.854549
Q19 0.7565592 0.645002 -0.801202 0.732304 -0.781346 0.511061 0.847268 1.000000 0.8076757 0.3928627 0.823240
Q20 0.6810529 0.632707 -0.689317 0.707521 -0.707436 0.532621 0.791256 0.807676 1.0000000 0.4005606 0.750839
Q21 0.2899437 0.198426 -0.298930 0.383928 -0.277483 0.303974 0.441180 0.392863 0.4005606 1.0000000 0.339795
Q22 0.8547533 0.660750 -0.749573 0.761739 -0.758678 0.534264 0.854549 0.823240 0.7508393 0.3397954 1.000000
Q23 -0.7407920 -0.571199 0.810167 -0.821485 0.788042 -0.614008 -0.767599 -0.769463 -0.6425164 -0.3399358 -0.776937
Q24 0.1742024 0.022799 -0.348973 0.244269 -0.319010 0.215908 0.247074 0.303356 0.2326004 0.3507473 0.302903
Q25 0.7967985 0.563559 -0.702379 0.747736 -0.697228 0.555257 0.804940 0.725921 0.6798083 0.2963650 0.841189
Q26 -0.6852619 -0.542442 0.860202 -0.717133 0.854162 -0.520843 -0.714752 -0.779786 -0.6388519 -0.2997380 -0.758445
Q27 0.4483329 0.427110 -0.190480 0.370052 -0.212866 0.241532 0.381691 0.188449 0.3340420 0.0256460 0.376079
Q28 -0.0027504 0.130873 0.384711 -0.018465 0.360912 0.030972 -0.057772 -0.301864 -0.0602473 -0.0814139 -0.149827
Q29 0.6120949 0.427765 -0.684780 0.667340 -0.661465 0.617876 0.700266 0.700128 0.6010068 0.3679922 0.692510
Q30 -0.7887737 -0.642732 0.769724 -0.843978 0.749609 -0.671718 -0.823014 -0.799005 -0.7060389 -0.4140671 -0.806731
Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30
Q1 0.733269 -0.376547 -0.648699 0.822960 -0.175075 0.4393492 -0.647357 0.700164
Q2 -0.642773 0.101645 0.568217 -0.637902 0.254759 -0.1096512 0.476807 -0.678016
Q3 0.194811 -0.356271 -0.050575 0.371778 0.488093 0.9183507 -0.197550 0.070056
Q4 -0.188677 -0.187751 0.174185 -0.027083 0.503728 0.7279314 0.102262 -0.272172
Q5 0.046986 -0.325382 0.033785 0.250201 0.533463 0.8893743 -0.118432 -0.083817
Q6 0.768159 -0.355064 -0.705827 0.860155 -0.226315 0.3293465 -0.709008 0.747460
Q7 -0.786200 0.154559 0.789063 -0.743857 0.364968 -0.0494752 0.625524 -0.822919
Q8 0.524125 -0.208747 -0.628933 0.478182 -0.458215 -0.1752977 -0.574877 0.537074
Q9 0.611441 -0.291157 -0.727893 0.602831 -0.381762 0.0093075 -0.675916 0.625010
Q10 0.089761 -0.304416 0.025819 0.271801 0.515954 0.8961789 -0.126448 -0.028135
Q11 -0.084469 -0.234908 0.145068 0.116576 0.597058 0.7971327 0.014425 -0.215587
Q12 -0.740792 0.174202 0.796798 -0.685262 0.448333 -0.0027504 0.612095 -0.788774
Q13 -0.571199 0.022799 0.563559 -0.542442 0.427110 0.1308734 0.427765 -0.642732
Q14 0.810167 -0.348973 -0.702379 0.860202 -0.190480 0.3847106 -0.684780 0.769724
Q15 -0.821485 0.244269 0.747736 -0.717133 0.370052 -0.0184650 0.667340 -0.843978
Q16 0.788042 -0.319010 -0.697228 0.854162 -0.212866 0.3609122 -0.661465 0.749609
Q17 -0.614008 0.215908 0.555257 -0.520843 0.241532 0.0309724 0.617876 -0.671718
Q18 -0.767599 0.247074 0.804940 -0.714752 0.381691 -0.0577725 0.700266 -0.823014
Q19 -0.769463 0.303356 0.725921 -0.779786 0.188449 -0.3018643 0.700128 -0.799005
Q20 -0.642516 0.232600 0.679808 -0.638852 0.334042 -0.0602473 0.601007 -0.706039
Q21 -0.339936 0.350747 0.296365 -0.299738 0.025646 -0.0814139 0.367992 -0.414067
Q22 -0.776937 0.302903 0.841189 -0.758445 0.376079 -0.1498272 0.692510 -0.806731
Q23 1.000000 -0.325949 -0.721351 0.899435 -0.256831 0.2382518 -0.761508 0.908943
Q24 -0.325949 1.000000 0.195955 -0.368990 -0.092197 -0.3360942 0.442955 -0.346361
Q25 -0.721351 0.195955 1.000000 -0.661227 0.514148 -0.0183770 0.615179 -0.770176
Q26 0.899435 -0.368990 -0.661227 1.000000 -0.149433 0.4228033 -0.741636 0.820217
Q27 -0.256831 -0.092197 0.514148 -0.149433 1.000000 0.5116855 0.208923 -0.362338
Q28 0.238252 -0.336094 -0.018377 0.422803 0.511686 1.0000000 -0.203549 0.105845
Q29 -0.761508 0.442955 0.615179 -0.741636 0.208923 -0.2035487 1.000000 -0.797444
Q30 0.908943 -0.346361 -0.770176 0.820217 -0.362338 0.1058447 -0.797444 1.000000
$Alpha
No.of.items Cronbachs.alpha
1 30 0.57295
$Conf.Alpha
SE.for.alpha Lower Upper
1 0.11823 0.34122 0.80468
$Bootstrap.Simmulations
[1] 0.5687 0.5813 0.3448 0.4795 0.4670 0.2332 0.3883 0.6148 0.7136 0.4453 0.6979 0.4463 0.5381 0.6058
[15] 0.5845 0.4521 0.5025 0.5026 0.5618 0.6442 0.5254 0.4844 0.6670 0.3248 0.5111 0.7181 0.6330 0.6055
[29] 0.4756 0.6738 0.5047 0.6484 0.5751 0.6378 0.5439 0.6221 0.6176 0.6415 0.6278 0.7287 0.6417 0.5050
[43] 0.6418 0.6128 0.5357 0.5285 0.5758 0.4015 0.6728 0.3005 0.6134 0.5865 0.7449 0.5863 0.6139 0.4965
[57] 0.3861 0.5420 0.6482 0.5895 0.6015 0.5860 0.6113 0.5675 0.3602 0.6436 0.6391 0.5612 0.2425 0.6481
[71] 0.4881 0.5497 0.4394 0.6166 0.5450 0.5816 0.6664 0.6282 0.6095 0.5614 0.4806 0.6259 0.5423 0.7189
[85] 0.6037 0.4191 0.2276 0.6844 0.4284 0.5002 0.4915 0.5824 0.5586 0.5087 0.6292 0.5151 0.5404 0.4934
[99] 0.5352 0.6935 0.6585 0.6928 0.6637 0.6640 0.4537 0.5011 0.3063 -0.2195 0.6133 0.6776 0.5491 0.2213
[113] 0.5640 0.7012 0.3101 0.6518 0.4935 0.7008 0.3572 0.6327 0.4112 0.6102 0.5842 0.4202 0.6072 0.7545
[127] 0.5329 0.4882 0.7132 0.6202 0.6048 0.6922 0.4932 0.5816 0.5228 0.5858 0.6290 0.6853 0.5569 0.5337
[141] 0.5693 0.5588 0.6211 0.6827 0.6583 0.5152 0.5138 0.5928 0.6194 0.6260 0.4044 0.6802 0.6683 0.6405
[155] 0.4029 0.6683 0.2726 0.2652 0.5229 0.6323 0.5079 0.4342 0.5937 0.6032 0.7079 0.6921 0.6179 0.7165
[169] 0.6603 0.6260 0.6035 0.5528 0.4706 0.5212 0.5483 0.5794 0.6934 0.4448 0.6344 0.4134 0.5627 0.6649
[183] 0.4750 0.1845 0.0815 0.6117 0.6902 0.5903 0.4544 0.6001 0.6976 0.6557 0.5224 0.6404 0.4228 0.5849
[197] 0.5764 0.4493 0.4925 0.5736 0.5911 0.3434 0.5428 0.4925 0.2696 0.6887 0.4901 0.3856 0.4799 0.6308
[211] 0.6121 0.5552 0.6134 0.2935 0.4100 0.6149 0.4836 0.4229 0.5799 0.6325 0.4127 0.5066 0.6110 0.5280
[225] 0.5331 0.5723 0.6936 0.2763 0.6428 0.4462 0.5665 0.6217 0.3970 0.4636 0.5742 0.7173 0.5130 0.6043
[239] 0.6659 0.5366 0.3552 0.2994 0.2831 0.6057 0.3555 -0.0022 0.5805 0.5668 0.6097 0.4657 0.6766 0.5276
[253] 0.5964 0.6581 0.3803 0.5980 0.5402 0.6412 0.6251 0.5995 0.3831 0.6372 0.4425 0.5871 0.4744 0.6892
[267] 0.6627 0.5080 0.7246 0.6072 0.5886 0.6345 0.5814 0.6309 0.5256 0.6125 0.5281 0.5771 0.5303 0.5967
[281] 0.6366 0.3959 0.4204 0.4398 0.4288 0.5240 0.3838 0.5948 0.6063 0.5625 0.4771 0.7427 0.5825 0.6358
[295] 0.3800 0.6996 0.6484 0.3699 0.5820 0.6521 0.5212 0.4488 0.6359 0.4775 0.7071 0.5225 0.3424 0.5574
[309] 0.5879 0.3089 0.4749 0.3060 0.6046 0.5374 0.3756 0.5043 0.5612 0.4266 0.5429 0.5708 0.6001 0.6508
[323] 0.5938 0.5707 0.3768 0.5525 0.4115 0.3881 0.5654 0.2590 0.6217 0.6677 0.6233 0.6566 0.6674 0.4961
[337] 0.1714 0.6338 0.6240 0.5072 0.5837 0.6153 0.7176 0.5932 0.6711 0.5055 0.5933 0.5118 0.5166 0.6426
[351] 0.4729 0.4518 0.4247 0.6272 0.6395 0.6069 0.4275 0.5555 0.3968 0.7853 0.1687 0.5821 0.6836 0.4179
[365] 0.6314 0.6088 0.6273 0.4347 0.5318 0.3128 0.4652 0.6501 0.4883 0.7014 0.5633 0.6293 0.6604 0.5571
[379] 0.5047 0.5301 0.3546 0.5235 0.5473 0.6831 0.6397 0.4396 0.5677 0.4574 0.3301 0.5222 0.3552 0.6615
[393] 0.3635 0.6248 0.5215 0.6456 0.5632 0.4226 0.6480 0.6288 0.5635 0.6644 0.4964 0.3421 0.6885 0.4258
[407] 0.5344 0.5179 0.6228 0.5854 0.4572 0.5722 0.5236 0.3853 0.5006 0.4722 0.4568 0.6563 0.5287 0.6810
[421] 0.6515 0.6822 0.4883 0.6328 0.4613 0.4293 0.5968 0.4796 0.6463 0.4956 0.4819 0.5559 0.6323 0.5434
[435] 0.6397 0.7567 0.5303 0.6732 0.5171 0.5383 0.5576 0.6682 0.0291 0.5981 0.0808 0.5854 0.1070 0.2385
[449] 0.4132 0.5989 0.6016 0.5577 0.5476 0.5858 0.5551 0.4072 0.4160 0.6705 0.6582 0.5912 0.6004 0.6461
[463] 0.6474 0.5757 0.5766 0.5600 0.4878 0.4560 0.5341 0.6873 0.6904 0.6618 0.4646 0.5016 0.6000 0.3908
[477] 0.4847 0.6822 0.6838 0.3289 0.5757 0.5851 0.6604 0.6290 0.6230 0.5689 0.5845 0.4158 0.3456 0.6059
[491] 0.5994 0.5541 0.5350 0.5063 0.5813 0.6820 0.5781 0.3408 0.5538 0.4675 0.6137 0.6804 0.3994 0.6683
[505] 0.5590 0.5131 0.6837 0.5736 0.4604 0.5785 0.5164 0.5298 0.4865 0.5431 0.3472 0.4516 0.7448 0.5699
[519] 0.5897 0.5589 0.6346 0.5316 0.6051 0.5797 0.5510 0.2653 0.6420 0.6794 0.6506 0.5632 0.6949 0.4740
[533] 0.5916 0.2946 0.5805 0.6539 0.6466 0.4846 0.5441 0.6607 0.5941 0.4010 0.3879 0.3086 0.7039 0.4438
[547] 0.4986 0.5935 0.4686 0.5805 0.6210 0.5675 0.5584 0.4783 0.6549 0.5120 0.4729 0.5982 0.5630 0.3251
[561] 0.3707 0.1884 0.5664 0.4019 0.7097 0.5856 0.5707 0.4859 0.6811 0.5303 0.4365 0.5668 0.7258 0.6420
[575] 0.6010 0.4468 0.5145 0.5693 0.5302 0.5678 0.6283 0.4982 0.6588 0.4128 0.6264 0.5814 0.4166 0.7131
[589] 0.5636 0.7094 0.1656 0.4730 0.6964 0.3795 0.6525 0.6987 0.7185 0.2230 0.5952 0.4888 0.6385 0.5550
[603] 0.5461 0.6379 0.5637 0.5790 0.2838 0.5560 0.5249 0.5254 0.4325 0.3933 0.5644 0.6148 0.6672 0.2050
[617] 0.4889 0.6178 0.7390 0.6665 0.5869 0.6739 0.4593 0.4860 0.5450 0.5576 0.3559 0.4860 0.6386 0.7066
[631] 0.6386 0.7123 0.5659 0.3511 0.4168 0.4569 0.6253 0.7505 0.6131 0.3835 0.3558 0.5891 0.3468 0.5089
[645] 0.4582 0.6604 0.7233 0.5001 0.5132 -0.3870 0.6039 0.3918 0.5817 0.3753 0.6786 0.6593 0.5500 0.6023
[659] 0.4842 0.5076 0.5347 0.4976 0.6927 0.7173 0.6561 0.7027 0.4589 0.5724 0.5072 0.5760 0.6029 0.4755
[673] 0.5752 0.6603 0.5316 0.6669 0.0879 0.7123 0.6083 0.6943 0.3466 0.4146 0.3844 0.4282 0.4800 0.6383
[687] 0.5473 0.5419 0.5261 0.4160 0.6932 0.6604 0.3327 0.5916 0.5654 0.3040 0.5061 0.3635 0.6226 0.4585
[701] 0.4139 0.4891 0.6017 0.2682 0.6634 0.4412 0.5399 0.6129 0.6342 0.6444 0.2213 0.6658 0.6671 0.5313
[715] 0.2639 0.6000 0.6191 -0.1844 0.5793 0.2823 0.6371 0.6955 0.6400 0.3379 0.5669 0.6146 0.6800 0.3345
[729] 0.6327 0.5080 0.6165 0.6754 0.6776 0.5076 0.4852 0.3862 0.6345 0.5307 0.2669 0.6565 0.6298 0.6298
[743] 0.6861 0.4375 0.4863 0.5379 0.4088 0.2706 0.7131 0.4516 0.5747 0.5785 0.6305 0.3852 0.5233 0.5792
[757] 0.6622 0.3046 0.5060 0.5074 0.5597 0.4957 0.5072 0.5728 0.2678 0.5554 0.4346 0.4781 0.5380 0.6913
[771] 0.6899 0.6345 0.5923 0.4817 0.4522 0.6719 0.5909 0.3620 0.6600 0.5429 0.6581 0.4619 0.5624 0.5284
[785] 0.5859 0.5331 0.4121 0.5214 0.6295 0.6530 0.2688 0.6381 0.6462 0.6684 0.6140 0.6268 0.6365 0.7160
[799] 0.3776 0.3361 0.4567 0.4774 0.4290 0.4504 0.5343 0.5728 0.2652 0.5648 0.6830 0.4660 0.7115 0.6616
[813] 0.4091 0.5925 0.5061 0.6589 0.6681 0.6088 0.3457 0.5514 -0.0026 0.4960 0.6381 0.5382 0.5592 0.6214
[827] 0.6343 0.6786 0.2946 0.6686 0.5883 0.7626 0.6427 0.5676 0.6783 0.4765 0.5673 0.6467 0.5598 0.4482
[841] 0.3824 0.5859 0.5864 0.6091 0.6275 0.7873 0.4355 0.6979 0.7017 0.5620 0.5773 0.7319 0.6248 0.3594
[855] 0.7001 0.6665 0.5055 0.5715 0.3441 0.7054 0.3654 0.6235 0.2602 0.5681 0.3885 0.4221 0.5781 0.4828
[869] 0.6945 0.6695 0.5249 0.6188 0.5437 0.3818 0.6557 0.5838 0.6485 0.5448 0.5825 0.5330 0.6743 0.4001
[883] 0.6607 0.2780 0.6997 0.6141 0.5140 0.4951 0.7089 0.6227 0.6408 0.6266 0.5364 0.4258 0.3418 0.6168
[897] 0.6114 0.3839 0.4464 0.5884 0.6272 0.5071 0.6852 0.4708 0.4082 0.7498 0.6693 0.1729 0.6100 0.6310
[911] 0.6177 0.5884 0.5152 0.5708 0.6158 0.4834 0.3585 0.3935 0.4924 0.1691 0.6936 0.5563 0.4493 0.6659
[925] 0.4384 0.5827 0.4113 0.5382 0.4228 0.6094 0.7076 0.5840 0.5033 0.6375 0.6346 0.5643 0.3432 0.6298
[939] 0.6535 0.2654 0.6391 0.5635 0.4632 0.7034 0.5701 0.6408 0.6091 0.5604 0.2995 0.7116 0.6197 0.6234
[953] 0.5101 0.4857 0.5317 0.3766 0.5070 0.4719 0.5586 0.6718 0.7487 0.5178 0.6532 0.2080 0.5629 0.5647
[967] 0.6792 0.6738 0.5797 0.6530 0.6819 0.6863 0.2377 0.5068 0.4757 0.6052 0.5962 0.6002 0.5472 0.6975
[981] 0.5930 0.1347 0.6319 0.4898 0.6419 0.6619 0.5834 0.5053 0.5409 0.2967 0.5869 0.6842 0.6643 0.5858
[995] 0.5927 0.6934 0.5616 0.6903 0.6082 0.5809
$Alpha.Bootstrap
Mean SE Lower Upper
1 0.541 0.1317 0.3149 0.8311
$Std.Alpha
No.of.items Standardized.alpha
1 30 0.6318
$Conf.Std.Alpha
SE.for.standardized.alpha Lower Upper
1 0.095342 0.44493 0.81867
$Bootstrap.Std.Simmulations
[1] 0.6684 0.7287 0.8082 0.7193 0.6046 0.7296 0.6915 0.6475 0.7769 0.7340 0.5945 0.6964 0.7037 0.6293 0.7225 0.6955
[17] 0.6981 0.7518 0.6116 0.6802 0.5761 0.5518 0.6296 0.6599 0.6761 0.5222 0.5742 0.7823 0.6174 0.7735 0.7502 0.5586
[33] 0.7633 0.5494 0.6309 0.6859 0.7025 0.6168 0.6973 0.4814 0.7434 0.7021 0.6869 0.5207 0.7453 0.7351 0.6296 0.7219
[49] 0.7046 0.7257 0.5627 0.6201 0.6435 0.6959 0.7280 0.6883 0.6041 0.5120 0.7281 0.4492 0.5916 0.5758 0.5815 0.7532
[65] 0.6838 0.8142 0.7085 0.7358 0.6533 0.6793 0.6584 0.6772 0.2497 0.7455 0.7082 0.6726 0.6454 0.6547 0.6365 0.7504
[81] 0.7399 0.7144 0.6910 0.5211 0.7997 0.5507 0.6627 0.6678 0.7020 0.8124 0.5278 0.6984 0.7267 0.7582 0.6990 0.6247
[97] 0.6925 0.7311 0.6725 0.6229 0.6013 0.4937 0.6977 0.6958 0.7115 0.5966 0.7057 0.5351 0.6619 0.6969 0.7666 0.6404
[113] 0.8023 0.7232 0.5378 0.7112 0.7388 0.7110 0.7171 0.7752 0.7429 0.5394 0.6312 0.6816 0.5645 0.4167 0.6945 0.5014
[129] 0.7158 0.7077 0.7355 0.7327 0.6404 0.6929 0.2998 0.6503 0.6684 0.6299 0.6671 0.7435 0.5412 0.6812 0.7373 0.5865
[145] 0.6046 0.7542 0.7065 0.6609 0.6254 0.6059 0.6778 0.6540 0.6345 0.7032 0.6361 0.7134 0.6614 0.7833 0.7563 0.6091
[161] 0.6216 0.6703 0.5733 0.6582 0.6638 0.7853 0.6122 0.7717 0.7676 0.3559 0.6765 0.7131 0.6433 0.7741 0.7893 0.7444
[177] 0.6057 0.6918 0.7040 0.6788 0.6689 0.6304 0.7182 0.7217 0.7790 0.6068 0.6921 0.7515 0.6411 0.4409 0.5742 0.6824
[193] 0.6941 0.6358 0.5926 0.7728 0.6876 0.6377 0.6153 0.7286 0.6052 0.6405 0.6134 0.6975 0.8346 0.6053 0.7292 0.6817
[209] 0.7195 0.5626 0.6430 0.6571 0.4990 0.5991 0.6242 0.6145 0.7603 0.7404 0.7365 0.6029 0.1488 0.7704 0.6420 0.7463
[225] 0.6996 0.6535 0.7333 0.5629 0.4159 0.7011 0.7091 0.6541 0.6590 0.7419 0.6956 0.6568 0.6652 0.6905 0.7260 0.7634
[241] 0.6223 0.6526 0.5738 0.7144 0.5365 0.6996 0.6244 0.3152 0.7780 0.7888 0.7467 0.7549 0.6708 0.5939 0.6970 0.4616
[257] 0.6142 0.5426 0.7800 0.7699 0.6069 0.7305 0.5062 0.6856 0.6430 0.7759 0.6364 0.7111 0.7453 0.7143 0.6546 0.7003
[273] 0.6935 0.6447 0.6899 0.4760 0.7161 0.6543 0.8043 0.7012 0.7099 0.7680 0.4857 0.5889 0.7687 0.6494 0.6766 0.4575
[289] 0.7205 0.5418 0.6790 0.7484 0.6185 0.7897 0.7118 0.5321 0.6723 0.6819 0.6831 0.6363 0.7400 0.7523 0.8096 0.7815
[305] 0.7307 0.6675 0.4129 0.6218 0.7439 0.5972 0.7678 0.5028 0.7117 0.7076 0.6948 0.3677 0.6774 0.6257 0.5619 0.7022
[321] 0.6813 0.7789 0.7559 0.7354 0.7883 0.6321 0.7335 0.7001 0.4767 0.6957 0.6270 0.6266 0.7354 0.6342 0.6816 0.7408
[337] 0.7299 0.6553 0.7550 0.5404 0.5331 0.5977 0.6673 0.6114 0.7340 0.6905 0.6272 0.7862 0.5886 0.5719 0.4620 0.5796
[353] 0.6721 0.6244 0.6401 0.6405 0.7708 0.6606 0.7436 0.7070 0.7254 0.7212 0.5894 0.7095 0.5720 0.6952 0.7665 0.7080
[369] 0.6122 0.7442 0.7221 0.7735 0.6863 0.6094 0.5189 0.5827 0.6657 0.7487 0.6894 0.6220 0.7681 0.6801 0.7208 0.7231
[385] 0.7026 0.7518 0.7149 0.5682 0.7506 0.6293 0.5563 0.5121 0.7709 0.7932 0.5904 0.7143 0.6317 0.6432 0.7067 0.6832
[401] 0.7639 0.7533 0.6420 0.7391 0.6319 0.5907 0.7056 0.7462 0.7757 0.7493 0.6831 0.5756 0.7100 0.6933 0.6097 0.7132
[417] 0.6251 0.6737 0.6015 0.7809 0.7103 0.6496 0.6654 0.6670 0.5079 0.4868 0.6533 0.6153 0.6152 0.6347 0.7277 0.6758
[433] 0.6937 0.6755 0.6500 0.7587 0.6329 0.6372 0.6988 0.6809 0.7789 0.7016 0.7763 0.7133 0.7147 0.6528 0.5897 0.6165
[449] 0.6956 0.6804 0.6833 0.7904 0.6257 0.6677 0.7442 0.7250 0.6059 0.7354 0.6197 0.6548 0.7142 0.5966 0.5606 0.6670
[465] 0.7312 0.6037 0.6791 0.6499 0.5785 0.8045 0.6856 0.6600 0.7274 0.7287 0.7407 0.5269 0.6738 0.7603 0.6465 0.6554
[481] 0.6660 0.7054 0.6485 0.6560 0.5706 0.7321 0.6557 0.7546 0.7766 0.7056 0.5999 0.6703 0.5446 0.7584 0.7253 0.6741
[497] 0.7760 0.6215 0.7121 0.6735 0.6026 0.7329 0.6881 0.7282 0.7259 0.7982 0.7076 0.7539 0.7212 0.8202 0.6052 0.6945
[513] 0.7203 0.7349 0.7362 0.4422 0.7149 0.7114 0.7264 0.6443 0.7703 0.7819 0.6331 0.6302 0.7125 0.5616 0.7799 0.6591
[529] 0.7535 0.6697 0.7035 0.6757 0.5356 0.7489 0.7309 0.6460 0.5895 0.6551 0.7469 0.6366 0.6769 0.7059 0.7121 0.6494
[545] 0.5180 0.6037 0.6615 0.6964 0.7449 0.5117 0.5553 0.7616 0.6299 0.7207 0.7593 0.7268 0.7196 0.6485 0.6964 0.7332
[561] 0.6522 0.6364 0.7663 0.6107 0.7862 0.6541 0.6840 0.6495 0.7496 0.7031 0.6058 0.7284 0.7105 0.7174 0.6686 0.7236
[577] 0.5854 0.7510 0.5726 0.7441 0.6547 0.6055 0.6364 0.7382 0.7116 0.6811 0.6975 0.6423 0.7197 0.5220 0.7128 0.6405
[593] 0.5908 0.7236 0.6525 0.7033 0.6654 0.6803 0.7141 0.7183 0.7401 0.7215 0.7023 0.7091 0.7558 0.5354 0.6464 0.7655
[609] 0.7535 0.6843 0.5358 0.5270 0.5382 0.6734 0.7123 0.7168 0.6605 0.7389 0.6976 0.7968 0.7494 0.7350 0.7622 0.7449
[625] 0.6881 0.6297 0.6328 0.7717 0.6022 0.6589 0.5854 0.7311 0.6882 0.5003 0.7578 0.7696 0.7020 0.5111 0.5528 0.7153
[641] 0.5327 0.7380 0.7157 0.6017 0.4626 0.7085 0.7102 0.6092 0.4018 0.7387 0.6377 0.7195 0.7454 0.7323 0.5211 0.6681
[657] 0.6718 0.5742 0.6737 0.7225 0.7320 0.7298 0.6490 0.5727 0.7172 0.7125 0.7700 0.6971 0.6896 0.6883 0.6582 0.7283
[673] 0.7906 0.6714 0.6215 0.7233 0.7557 0.5904 0.7730 0.3855 0.7095 0.7293 0.7127 0.4841 0.6720 0.7526 0.8040 0.6656
[689] 0.6993 0.6901 0.6267 0.6870 0.5941 0.6955 0.5639 0.6013 0.5427 0.6874 0.7396 0.5975 0.5834 0.6764 0.6247 0.6908
[705] 0.6091 0.6985 0.7487 0.5442 0.6577 0.5528 0.6441 0.7436 0.6629 0.7500 0.6530 0.7508 0.7128 0.6835 0.7141 0.7152
[721] 0.6719 0.7151 0.6937 0.6886 0.6817 0.7428 0.7101 0.6538 0.5720 0.7206 0.6723 0.7383 0.7633 0.7504 0.6733 0.5963
[737] 0.6707 0.5337 0.5908 0.4460 0.6479 0.7284 0.5891 0.7485 0.6556 0.7236 0.5278 0.6253 0.7322 0.8022 0.7448 0.7003
[753] 0.6919 0.7011 0.7752 0.6214 0.5805 0.6150 0.7392 0.6213 0.6161 0.6623 0.7400 0.7193 0.5351 0.7165 0.6972 0.7437
[769] 0.7471 0.5885 0.4141 0.5305 0.7341 0.6829 0.6588 0.5928 0.5718 0.7574 0.5916 0.4086 0.7262 0.6245 0.6172 0.5397
[785] 0.7072 0.6610 0.3080 0.6927 0.7004 0.6503 0.7629 0.7105 0.7060 0.6965 0.7386 0.7638 0.6428 0.7174 0.7274 0.6080
[801] 0.6843 0.7576 0.5311 0.6926 0.5890 0.6651 0.4605 0.5301 0.6627 0.7394 0.7795 0.6783 0.5989 0.7749 0.7067 0.7340
[817] 0.6443 0.5885 0.4900 0.7396 0.6883 0.6402 0.6909 0.6384 0.7156 0.7428 0.6859 0.7525 0.6122 0.6556 0.7274 0.7838
[833] 0.7075 0.7450 0.6602 0.5644 0.6456 0.6917 0.6626 0.5765 0.6370 0.6572 0.7574 0.7117 0.6985 0.6198 0.6370 0.7412
[849] 0.5770 0.6327 0.6284 0.7168 0.7232 0.5366 0.7268 0.7577 0.6808 0.6788 0.6333 0.6189 0.5422 0.6088 0.6368 0.4288
[865] 0.6790 0.7231 0.6329 0.7385 0.7847 0.6828 0.6888 0.7052 0.6801 0.7489 0.6115 0.7531 0.5936 0.3524 0.7085 0.6693
[881] 0.6795 0.7134 0.5389 0.5852 0.7312 0.5857 0.6194 0.6199 0.5323 0.6678 0.7003 0.7847 0.7624 0.6887 0.7680 0.7526
[897] 0.5899 0.8034 0.8056 0.5776 0.7643 0.6279 0.5917 0.6895 0.7315 0.6629 0.5314 0.7592 0.7292 0.6577 0.5130 0.5577
[913] 0.5487 0.7113 0.7753 0.4780 0.6301 0.6551 0.7085 0.7115 0.5733 0.6044 0.7061 0.6368 0.6677 0.7422 0.5970 0.5448
[929] 0.6811 0.5689 0.6390 0.6992 0.6004 0.5979 0.7702 0.7086 0.7150 0.5595 0.6820 0.7085 0.6274 0.6564 0.5230 0.7818
[945] 0.5584 0.6028 0.6467 0.6070 0.7288 0.7006 0.6175 0.5264 0.6865 0.7765 0.6385 0.6641 0.7131 0.6928 0.6870 0.6896
[961] 0.6827 0.5097 0.6051 0.7537 0.6289 0.7201 0.5621 0.5309 0.7126 0.7017 0.7626 0.7773 0.7292 0.6887 0.7323 0.6671
[977] 0.6844 0.7941 0.5604 0.6703 0.6698 0.7309 0.5719 0.6651 0.4308 0.5800 0.5964 0.5276 0.4699 0.7690 0.6926 0.5883
[993] 0.7050 0.6973 0.7727 0.5950 0.6008 0.7293 0.6522 0.6893
$Std.Alpha.Bootstrap
Mean SE Lower Upper
1 0.6663 0.0847 0.4658 0.7978
$Scale.Stats
Scale.mean Mean.if.deleted Scale.variance Variance.if.deleted
1 11.013 10.657 2.5313 2.4895
2 11.013 10.670 2.5313 2.4240
3 11.013 10.571 2.5313 2.0813
4 11.013 10.593 2.5313 2.1198
5 11.013 10.565 2.5313 2.0416
6 11.013 10.660 2.5313 2.5616
7 11.013 10.649 2.5313 2.3123
8 11.013 10.737 2.5313 2.7919
9 11.013 10.740 2.5313 2.7493
10 11.013 10.573 2.5313 2.0711
11 11.013 10.559 2.5313 2.0869
12 11.013 10.631 2.5313 2.3061
13 11.013 10.623 2.5313 2.2939
14 11.013 10.647 2.5313 2.5275
15 11.013 10.640 2.5313 2.3256
16 11.013 10.628 2.5313 2.5309
17 11.013 10.699 2.5313 2.4429
18 11.013 10.602 2.5313 2.3136
19 11.013 10.670 2.5313 2.4797
20 11.013 10.647 2.5313 2.3779
21 11.013 10.640 2.5313 2.4504
22 11.013 10.644 2.5313 2.3825
23 11.013 10.681 2.5313 2.6705
24 11.013 10.706 2.5313 2.6291
25 11.013 10.647 2.5313 2.3590
26 11.013 10.633 2.5313 2.5212
27 11.013 10.631 2.5313 2.2430
28 11.013 10.572 2.5313 2.0981
29 11.013 10.695 2.5313 2.4939
30 11.013 10.772 2.5313 2.8306
$Alpha.Stats
Variable Corrected.item.total.cor Squared.multiple.cor Alpha.if.deleted
1 Q1 -0.0120098 1 0.58680
2 Q2 0.1433064 1 0.56600
3 Q3 0.7616828 1 0.49143
4 Q4 0.7666324 1 0.49826
5 Q5 0.8254361 1 0.48150
6 Q6 -0.1128958 1 0.60039
7 Q7 0.2653960 1 0.55046
8 Q8 -0.4953894 1 0.62828
9 Q9 -0.3914436 1 0.62508
10 Q10 0.7879620 1 0.48852
11 Q11 0.8326089 1 0.48999
12 Q12 0.3133097 1 0.54580
13 Q13 0.4137303 1 0.53843
14 Q14 -0.0669609 1 0.59454
15 Q15 0.2817831 1 0.54971
16 Q16 -0.0681926 1 0.59315
17 Q17 0.1110257 1 0.56927
18 Q18 0.2936385 1 0.54793
19 Q19 0.0080479 1 0.58329
20 Q20 0.2059417 1 0.55900
21 Q21 0.1513418 1 0.56588
22 Q22 0.1588654 1 0.56429
23 Q23 -0.2637462 1 0.61567
24 Q24 -0.2531689 1 0.59906
25 Q25 0.2253969 1 0.55646
26 Q26 -0.0501677 1 0.58955
27 Q27 0.5651282 1 0.52547
28 Q28 0.7615747 1 0.49448
29 Q29 0.0040657 1 0.58125
30 Q30 -0.4476819 1 0.64280
$call
itemanal(object = "corfact", SE.par = 1.96, boots = 1000)
$items
[1] "Variables" "Tendency" "Skewness" "Kurtosis"
[5] "Covariance" "Correlation" "Alpha" "Conf.Alpha"
[9] "Bootstrap.Simmulations" "Alpha.Bootstrap" "Std.Alpha" "Conf.Std.Alpha"
[13] "Bootstrap.Std.Simmulations" "Std.Alpha.Bootstrap" "Scale.Stats" "Alpha.Stats"
[17] "call"
attr(,"class")
[1] "itemanal" "list" itemanal(corfact[,-30]) # Cronbach Alpha, item mean, sd$`Variables`
Variable.type No.of.cases Minimum Maximum Sum
Q1 numeric 30 0.05507161682394 1 10.6848300879288
Q2 numeric 30 0.077516487683023 1 10.3011616198073
Q3 numeric 30 0.225456325792644 1 13.2739317013838
Q4 numeric 30 0.194810077814897 1 12.6077737841948
Q5 numeric 30 0.175173194761382 1 13.4378760663319
Q6 numeric 30 0.0741188151162137 1 10.5832500866881
Q7 numeric 30 -0.00457146390447808 1 10.9270267871139
Q8 numeric 30 0.0970803732613664 1 8.27477018665852
Q9 numeric 30 0.0352328296496824 1 8.20366336025283
Q10 numeric 30 0.216917416732776 1 13.2173637943455
Q11 numeric 30 0.178288741998115 1 13.6249157617318
Q12 numeric 30 0.0476042015267843 1 11.4715124467496
Q13 numeric 30 0.122404816530744 1 11.7165263963136
Q14 numeric 30 0.0962309132472474 1 10.9724883692041
Q15 numeric 30 -0.00213035955793613 1 11.1990495995572
Q16 numeric 30 0.15727887075846 1 11.5470536479671
Q17 numeric 30 0.0403966452236111 1 9.41089039546622
Q18 numeric 30 0.0564635626123322 1 12.3411340864726
Q19 numeric 30 0.0183651005618714 1 10.2981329603519
Q20 numeric 30 0.0970803732613664 1 10.9859562464809
Q21 numeric 30 0.171240404857517 1 11.1850680147157
Q22 numeric 30 0.039743444892205 1 11.0728153579485
Q23 numeric 30 0.0624008724141407 1 9.97062249988813
Q24 numeric 30 0.165630772326554 1 9.20259718357733
Q25 numeric 30 0.0466900768185589 1 10.976654414354
Q26 numeric 30 0.118237320479447 1 11.4131184836466
Q27 numeric 30 0.172270044090147 1 11.4602329483366
Q28 numeric 30 0.212287606972704 1 13.2439166009429
Q29 numeric 30 -0.0110830315740968 1 9.55206265949631
$Tendency
Mean Median SD SE.mean Lower Upper Variance
Q1 0.35616 0.29006 0.040972 0.00138909 0.27586 0.43647 0.050304
Q2 0.34337 0.34252 0.031646 0.00107291 0.28135 0.40540 0.030010
Q3 0.44246 0.38413 0.034445 0.00116780 0.37495 0.50998 0.035553
Q4 0.42026 0.37736 0.031275 0.00106031 0.35896 0.48156 0.029309
Q5 0.44793 0.40076 0.035067 0.00118890 0.37920 0.51666 0.036849
Q6 0.35278 0.31799 0.041922 0.00142130 0.27061 0.43494 0.052664
Q7 0.36423 0.38305 0.039169 0.00132797 0.28746 0.44101 0.045974
Q8 0.27583 0.22604 0.032180 0.00109099 0.21275 0.33890 0.031030
Q9 0.27346 0.23840 0.036209 0.00122759 0.20249 0.34442 0.039287
Q10 0.44058 0.38580 0.034240 0.00116083 0.37347 0.50769 0.035130
Q11 0.45416 0.39896 0.031487 0.00106751 0.39245 0.51588 0.029709
Q12 0.38238 0.39852 0.035840 0.00121509 0.31214 0.45263 0.038491
Q13 0.39055 0.42041 0.030531 0.00103509 0.33071 0.45039 0.027931
Q14 0.36575 0.31425 0.041943 0.00142199 0.28354 0.44796 0.052715
Q15 0.37330 0.39710 0.035632 0.00120803 0.30346 0.44314 0.038045
Q16 0.38490 0.33737 0.039968 0.00135505 0.30656 0.46324 0.047868
Q17 0.31370 0.33270 0.031199 0.00105773 0.25255 0.37485 0.029167
Q18 0.41137 0.43717 0.036398 0.00123401 0.34003 0.48271 0.039699
Q19 0.34327 0.32702 0.039239 0.00133032 0.26636 0.42018 0.046137
Q20 0.36620 0.37932 0.034098 0.00115602 0.29937 0.43303 0.034840
Q21 0.37284 0.35815 0.024348 0.00082548 0.32511 0.42056 0.017765
Q22 0.36909 0.37880 0.038699 0.00131203 0.29324 0.44494 0.044877
Q23 0.33235 0.28658 0.039304 0.00133253 0.25532 0.40939 0.046291
Q24 0.30675 0.27092 0.026418 0.00089566 0.25497 0.35853 0.020913
Q25 0.36589 0.37305 0.035503 0.00120365 0.29630 0.43547 0.037770
Q26 0.38044 0.34089 0.037989 0.00128796 0.30598 0.45490 0.043246
Q27 0.38201 0.35156 0.028490 0.00096590 0.32617 0.43785 0.024323
Q28 0.44146 0.39325 0.033144 0.00112369 0.37650 0.50643 0.032918
Q29 0.31840 0.32926 0.034192 0.00115921 0.25139 0.38542 0.035032
$Skewness
Skewness SE.skew Lower Upper
Q1 0.00000054555 0.44721 0.87654 -0.87654
Q2 0.00000025138 0.44721 0.87654 -0.87654
Q3 0.00000032416 0.44721 0.87654 -0.87654
Q4 0.00000024263 0.44721 0.87654 -0.87654
Q5 0.00000034204 0.44721 0.87654 -0.87654
Q6 0.00000058439 0.44721 0.87654 -0.87654
Q7 0.00000047666 0.44721 0.87654 -0.87654
Q8 0.00000026431 0.44721 0.87654 -0.87654
Q9 0.00000037654 0.44721 0.87654 -0.87654
Q10 0.00000031839 0.44721 0.87654 -0.87654
Q11 0.00000024761 0.44721 0.87654 -0.87654
Q12 0.00000036515 0.44721 0.87654 -0.87654
Q13 0.00000022572 0.44721 0.87654 -0.87654
Q14 0.00000058525 0.44721 0.87654 -0.87654
Q15 0.00000035882 0.44721 0.87654 -0.87654
Q16 0.00000050642 0.44721 0.87654 -0.87654
Q17 0.00000024087 0.44721 0.87654 -0.87654
Q18 0.00000038248 0.44721 0.87654 -0.87654
Q19 0.00000047920 0.44721 0.87654 -0.87654
Q20 0.00000031445 0.44721 0.87654 -0.87654
Q21 0.00000011449 0.44721 0.87654 -0.87654
Q22 0.00000045970 0.44721 0.87654 -0.87654
Q23 0.00000048160 0.44721 0.87654 -0.87654
Q24 0.00000014624 0.44721 0.87654 -0.87654
Q25 0.00000035494 0.44721 0.87654 -0.87654
Q26 0.00000043486 0.44721 0.87654 -0.87654
Q27 0.00000018342 0.44721 0.87654 -0.87654
Q28 0.00000028880 0.44721 0.87654 -0.87654
Q29 0.00000031706 0.44721 0.87654 -0.87654
$Kurtosis
Kurtosis SE.kurtosis Lower Upper
Q1 0.0000000194755 0.89443 1.7531 -1.7531
Q2 0.0000000069313 0.89443 1.7531 -1.7531
Q3 0.0000000097284 0.89443 1.7531 -1.7531
Q4 0.0000000066114 0.89443 1.7531 -1.7531
Q5 0.0000000104507 0.89443 1.7531 -1.7531
Q6 0.0000000213456 0.89443 1.7531 -1.7531
Q7 0.0000000162675 0.89443 1.7531 -1.7531
Q8 0.0000000074106 0.89443 1.7531 -1.7531
Q9 0.0000000118792 0.89443 1.7531 -1.7531
Q10 0.0000000094982 0.89443 1.7531 -1.7531
Q11 0.0000000067930 0.89443 1.7531 -1.7531
Q12 0.0000000114024 0.89443 1.7531 -1.7531
Q13 0.0000000060045 0.89443 1.7531 -1.7531
Q14 0.0000000213874 0.89443 1.7531 -1.7531
Q15 0.0000000111399 0.89443 1.7531 -1.7531
Q16 0.0000000176354 0.89443 1.7531 -1.7531
Q17 0.0000000065475 0.89443 1.7531 -1.7531
Q18 0.0000000121297 0.89443 1.7531 -1.7531
Q19 0.0000000163831 0.89443 1.7531 -1.7531
Q20 0.0000000093420 0.89443 1.7531 -1.7531
Q21 0.0000000024288 0.89443 1.7531 -1.7531
Q22 0.0000000155004 0.89443 1.7531 -1.7531
Q23 0.0000000164924 0.89443 1.7531 -1.7531
Q24 0.0000000033662 0.89443 1.7531 -1.7531
Q25 0.0000000109793 0.89443 1.7531 -1.7531
Q26 0.0000000143938 0.89443 1.7531 -1.7531
Q27 0.0000000045531 0.89443 1.7531 -1.7531
Q28 0.0000000083399 0.89443 1.7531 -1.7531
Q29 0.0000000094453 0.89443 1.7531 -1.7531
$Covariance
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9
Q1 0.0503037 -0.02221813 0.01735861 0.00181041 0.01363481 0.0471193 -0.0308081 0.0131500 0.023366558
Q2 -0.0222181 0.03000987 -0.00140720 0.00743278 0.00083849 -0.0262743 0.0254310 -0.0149662 -0.018506136
Q3 0.0173586 -0.00140720 0.03555306 0.02555781 0.03388572 0.0137601 -0.0017098 -0.0046751 0.001654774
Q4 0.0018104 0.00743278 0.02555781 0.02930920 0.02760783 -0.0018353 0.0117320 -0.0089617 -0.006861851
Q5 0.0136348 0.00083849 0.03388572 0.02760783 0.03684927 0.0106272 0.0037277 -0.0051579 0.000823614
Q6 0.0471193 -0.02627427 0.01376007 -0.00183526 0.01062719 0.0526635 -0.0364428 0.0211946 0.031224106
Q7 -0.0308081 0.02543096 -0.00170980 0.01173196 0.00372773 -0.0364428 0.0459744 -0.0240805 -0.032154009
Q8 0.0131500 -0.01496616 -0.00467506 -0.00896174 -0.00515794 0.0211946 -0.0240805 0.0310300 0.027826970
Q9 0.0233666 -0.01850614 0.00165477 -0.00686185 0.00082361 0.0312241 -0.0321540 0.0278270 0.039287091
Q10 0.0147558 -0.00135680 0.03266918 0.02526880 0.03386430 0.0108187 0.0025367 -0.0066330 0.000091316
Q11 0.0049129 0.00307191 0.02721462 0.02472425 0.02990378 0.0032373 0.0079477 -0.0061599 -0.000764587
Q12 -0.0276921 0.02227784 0.00044987 0.01040089 0.00436064 -0.0314949 0.0356452 -0.0221678 -0.028191020
Q13 -0.0199993 0.01956080 0.00512739 0.01157977 0.00838549 -0.0222713 0.0251828 -0.0147881 -0.016274000
Q14 0.0486847 -0.02437315 0.01538097 -0.00084370 0.01087765 0.0485077 -0.0344227 0.0158441 0.026142611
Q15 -0.0278321 0.02165788 -0.00038345 0.01141411 0.00452258 -0.0315723 0.0340827 -0.0201561 -0.025774727
Q16 0.0456252 -0.02343810 0.01286308 -0.00199552 0.00955033 0.0472995 -0.0329361 0.0171727 0.027164578
Q17 -0.0180907 0.00788868 0.00054095 0.00510978 0.00241479 -0.0225929 0.0198244 -0.0176667 -0.022626873
Q18 -0.0320687 0.02196787 -0.00198846 0.00926986 0.00275661 -0.0347071 0.0368166 -0.0205454 -0.027825154
Q19 -0.0387455 0.02644567 -0.01134568 0.00193236 -0.00784622 -0.0405961 0.0355378 -0.0204516 -0.028991932
Q20 -0.0283984 0.02135953 -0.00240656 0.00675669 0.00051768 -0.0318975 0.0290624 -0.0219897 -0.026201216
Q21 -0.0085657 0.00410246 -0.00157793 0.00291854 -0.00012737 -0.0088257 0.0103815 -0.0047209 -0.007775721
Q22 -0.0350968 0.02318688 -0.00659375 0.00647750 -0.00181946 -0.0380202 0.0391184 -0.0235493 -0.032172495
Q23 0.0353844 -0.02395734 0.00790315 -0.00694977 0.00194059 0.0379276 -0.0362694 0.0198644 0.026075244
Q24 -0.0122133 0.00254643 -0.00971477 -0.00464832 -0.00903277 -0.0117835 0.0047925 -0.0053177 -0.008345742
Q25 -0.0282758 0.01913010 -0.00185331 0.00579540 0.00126041 -0.0314792 0.0328807 -0.0215311 -0.028039062
Q26 0.0383840 -0.02298041 0.01457785 -0.00096419 0.00998793 0.0410491 -0.0331680 0.0175168 0.024848052
Q27 -0.0061239 0.00688280 0.01435310 0.01344937 0.01597068 -0.0080998 0.0122044 -0.0125882 -0.011801090
Q28 0.0178784 -0.00344638 0.03141701 0.02261050 0.03097539 0.0137128 -0.0019247 -0.0056025 0.000334714
Q29 -0.0271754 0.01545991 -0.00697186 0.00327678 -0.00425518 -0.0304536 0.0251035 -0.0189539 -0.025075521
Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18
Q1 0.014755816 0.00491294 -0.02769214 -0.01999932 0.0486847 -0.02783210 0.0456252 -0.01809069 -0.03206872
Q2 -0.001356801 0.00307191 0.02227784 0.01956080 -0.0243731 0.02165788 -0.0234381 0.00788868 0.02196787
Q3 0.032669184 0.02721462 0.00044987 0.00512739 0.0153810 -0.00038345 0.0128631 0.00054095 -0.00198846
Q4 0.025268800 0.02472425 0.01040089 0.01157977 -0.0008437 0.01141411 -0.0019955 0.00510978 0.00926986
Q5 0.033864298 0.02990378 0.00436064 0.00838549 0.0108776 0.00452258 0.0095503 0.00241479 0.00275661
Q6 0.010818733 0.00323731 -0.03149485 -0.02227127 0.0485077 -0.03157231 0.0472995 -0.02259289 -0.03470711
Q7 0.002536653 0.00794768 0.03564524 0.02518281 -0.0344227 0.03408269 -0.0329361 0.01982436 0.03681656
Q8 -0.006633049 -0.00615989 -0.02216777 -0.01478814 0.0158441 -0.02015614 0.0171727 -0.01766667 -0.02054536
Q9 0.000091316 -0.00076459 -0.02819102 -0.01627400 0.0261426 -0.02577473 0.0271646 -0.02262687 -0.02782515
Q10 0.035129897 0.02884215 0.00334390 0.00626575 0.0116409 0.00290606 0.0103525 0.00315053 0.00061641
Q11 0.028842154 0.02970886 0.00852139 0.01059736 0.0028156 0.00824518 0.0024182 0.00413865 0.00689377
Q12 0.003343897 0.00852139 0.03849058 0.02240880 -0.0303438 0.03031121 -0.0295016 0.01739038 0.03195590
Q13 0.006265746 0.01059736 0.02240880 0.02793144 -0.0202431 0.02143538 -0.0199889 0.00990002 0.02449745
Q14 0.011640931 0.00281561 -0.03034377 -0.02024306 0.0527151 -0.03128210 0.0482902 -0.02160127 -0.03442649
Q15 0.002906058 0.00824518 0.03031121 0.02143538 -0.0312821 0.03804482 -0.0291637 0.01834305 0.03130444
Q16 0.010352530 0.00241822 -0.02950160 -0.01998894 0.0482902 -0.02916366 0.0478684 -0.02133318 -0.03207544
Q17 0.003150528 0.00413865 0.01739038 0.00990002 -0.0216013 0.01834305 -0.0213332 0.02916702 0.02004698
Q18 0.000616414 0.00689377 0.03195590 0.02449745 -0.0344265 0.03130444 -0.0320754 0.02004698 0.03969912
Q19 -0.009325471 -0.00107986 0.03188212 0.02315447 -0.0395127 0.03068077 -0.0367193 0.01874761 0.03626088
Q20 0.000036842 0.00401235 0.02493994 0.01973724 -0.0295409 0.02575873 -0.0288901 0.01697860 0.02942690
Q21 -0.001179547 0.00163441 0.00758174 0.00442001 -0.0091478 0.00998102 -0.0080917 0.00691926 0.01171613
Q22 -0.002906414 0.00345142 0.03552481 0.02339362 -0.0364582 0.03147513 -0.0351638 0.01932928 0.03606960
Q23 0.003619709 -0.00313248 -0.03126961 -0.02053917 0.0400213 -0.03447436 0.0370956 -0.02256154 -0.03290590
Q24 -0.008251234 -0.00585536 0.00494247 0.00055103 -0.0115870 0.00689015 -0.0100935 0.00533246 0.00711919
Q25 0.000940484 0.00485943 0.03038063 0.01830447 -0.0313408 0.02834441 -0.0296463 0.01842940 0.03116917
Q26 0.010594038 0.00417853 -0.02795797 -0.01885262 0.0410714 -0.02908835 0.0388630 -0.01849800 -0.02961540
Q27 0.015081826 0.01604959 0.01371773 0.01113246 -0.0068206 0.01125679 -0.0072633 0.00643316 0.01186060
Q28 0.030475507 0.02492822 -0.00009790 0.00396840 0.0160258 -0.00065345 0.0143266 0.00095971 -0.00208847
Q29 -0.004435916 0.00046536 0.02247648 0.01338087 -0.0294273 0.02436282 -0.0270871 0.01975058 0.02611474
Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27
Q1 -0.0387455 -0.028398384 -0.00856574 -0.0350968 0.0353844 -0.01221327 -0.02827578 0.03838401 -0.00612391
Q2 0.0264457 0.021359533 0.00410246 0.0231869 -0.0239573 0.00254643 0.01913010 -0.02298041 0.00688280
Q3 -0.0113457 -0.002406559 -0.00157793 -0.0065937 0.0079032 -0.00971477 -0.00185331 0.01457785 0.01435310
Q4 0.0019324 0.006756693 0.00291854 0.0064775 -0.0069498 -0.00464832 0.00579540 -0.00096419 0.01344937
Q5 -0.0078462 0.000517678 -0.00012737 -0.0018195 0.0019406 -0.00903277 0.00126041 0.00998793 0.01597068
Q6 -0.0405961 -0.031897457 -0.00882570 -0.0380202 0.0379276 -0.01178349 -0.03147925 0.04104910 -0.00809979
Q7 0.0355378 0.029062396 0.01038151 0.0391184 -0.0362694 0.00479253 0.03288070 -0.03316799 0.01220442
Q8 -0.0204516 -0.021989680 -0.00472091 -0.0235493 0.0198644 -0.00531772 -0.02153113 0.01751684 -0.01258823
Q9 -0.0289919 -0.026201216 -0.00777572 -0.0321725 0.0260752 -0.00834574 -0.02803906 0.02484805 -0.01180109
Q10 -0.0093255 0.000036842 -0.00117955 -0.0029064 0.0036197 -0.00825123 0.00094048 0.01059404 0.01508183
Q11 -0.0010799 0.004012348 0.00163441 0.0034514 -0.0031325 -0.00585536 0.00485943 0.00417853 0.01604959
Q12 0.0318821 0.024939941 0.00758174 0.0355248 -0.0312696 0.00494247 0.03038063 -0.02795797 0.01371773
Q13 0.0231545 0.019737240 0.00442001 0.0233936 -0.0205392 0.00055103 0.01830447 -0.01885262 0.01113246
Q14 -0.0395127 -0.029540897 -0.00914776 -0.0364582 0.0400213 -0.01158702 -0.03134081 0.04107139 -0.00682059
Q15 0.0306808 0.025758730 0.00998102 0.0314751 -0.0344744 0.00689015 0.02834441 -0.02908835 0.01125679
Q16 -0.0367193 -0.028890101 -0.00809167 -0.0351638 0.0370956 -0.01009351 -0.02964627 0.03886302 -0.00726331
Q17 0.0187476 0.016978596 0.00691926 0.0193293 -0.0225615 0.00533246 0.01842940 -0.01849800 0.00643316
Q18 0.0362609 0.029426904 0.01171613 0.0360696 -0.0329059 0.00711919 0.03116917 -0.02961540 0.01186060
Q19 0.0461375 0.032381824 0.01124723 0.0374600 -0.0355602 0.00942306 0.03030314 -0.03483168 0.00631284
Q20 0.0323818 0.034839718 0.00996514 0.0296892 -0.0258030 0.00627857 0.02466010 -0.02479758 0.00972395
Q21 0.0112472 0.009965135 0.01776460 0.0095942 -0.0097482 0.00676060 0.00767672 -0.00830790 0.00053309
Q22 0.0374600 0.029689168 0.00959420 0.0448774 -0.0354118 0.00927963 0.03463205 -0.03341253 0.01242504
Q23 -0.0355602 -0.025803015 -0.00974818 -0.0354118 0.0462911 -0.01014172 -0.03016247 0.04024303 -0.00861789
Q24 0.0094231 0.006278569 0.00676060 0.0092796 -0.0101417 0.02091346 0.00550733 -0.01109683 -0.00207938
Q25 0.0303031 0.024660102 0.00767672 0.0346321 -0.0301625 0.00550733 0.03776958 -0.02672352 0.01558344
Q26 -0.0348317 -0.024797579 -0.00830790 -0.0334125 0.0402430 -0.01109683 -0.02672352 0.04324576 -0.00484644
Q27 0.0063128 0.009723952 0.00053309 0.0124250 -0.0086179 -0.00207938 0.01558344 -0.00484644 0.02432253
Q28 -0.0117640 -0.002040293 -0.00196877 -0.0057587 0.0093004 -0.00881844 -0.00064798 0.01595247 0.01447856
Q29 0.0281473 0.020996601 0.00918013 0.0274582 -0.0306659 0.01198960 0.02237715 -0.02886655 0.00609850
Q28 Q29
Q1 0.01787835 -0.02717541
Q2 -0.00344638 0.01545991
Q3 0.03141701 -0.00697186
Q4 0.02261050 0.00327678
Q5 0.03097539 -0.00425518
Q6 0.01371279 -0.03045357
Q7 -0.00192470 0.02510349
Q8 -0.00560254 -0.01895389
Q9 0.00033471 -0.02507552
Q10 0.03047551 -0.00443592
Q11 0.02492822 0.00046536
Q12 -0.00009790 0.02247648
Q13 0.00396840 0.01338087
Q14 0.01602578 -0.02942733
Q15 -0.00065345 0.02436282
Q16 0.01432662 -0.02708715
Q17 0.00095971 0.01975058
Q18 -0.00208847 0.02611474
Q19 -0.01176404 0.02814730
Q20 -0.00204029 0.02099660
Q21 -0.00196877 0.00918013
Q22 -0.00575867 0.02745821
Q23 0.00930043 -0.03066589
Q24 -0.00881844 0.01198960
Q25 -0.00064798 0.02237715
Q26 0.01595247 -0.02886655
Q27 0.01447856 0.00609850
Q28 0.03291816 -0.00691223
Q29 -0.00691223 0.03503197
$Correlation
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11
Q1 1.000000 -0.571841 0.410465 0.047149 0.3166903 0.915470 -0.640629 0.33284 0.5256176 0.3510144 0.127086
Q2 -0.571841 1.000000 -0.043081 0.250621 0.0252145 -0.660912 0.684656 -0.49044 -0.5389628 -0.0417874 0.102881
Q3 0.410465 -0.043081 1.000000 0.791741 0.9361895 0.318000 -0.042291 -0.14075 0.0442767 0.9244030 0.837376
Q4 0.047149 0.250621 0.791741 1.000000 0.8400706 -0.046713 0.319603 -0.29717 -0.2022155 0.7874885 0.837873
Q5 0.316690 0.025214 0.936189 0.840071 1.0000000 0.241240 0.090568 -0.15254 0.0216463 0.9412158 0.903792
Q6 0.915470 -0.660912 0.318000 -0.046713 0.2412398 1.000000 -0.740626 0.52430 0.6864518 0.2515260 0.081844
Q7 -0.640629 0.684656 -0.042291 0.319603 0.0905675 -0.740626 1.000000 -0.63755 -0.7565752 0.0631196 0.215050
Q8 0.332839 -0.490441 -0.140753 -0.297166 -0.1525354 0.524298 -0.637554 1.00000 0.7969845 -0.2009017 -0.202880
Q9 0.525618 -0.538963 0.044277 -0.202215 0.0216463 0.686452 -0.756575 0.79698 1.0000000 0.0024580 -0.022380
Q10 0.351014 -0.041787 0.924403 0.787488 0.9412158 0.251526 0.063120 -0.20090 0.0024580 1.0000000 0.892784
Q11 0.127086 0.102881 0.837376 0.837873 0.9037925 0.081844 0.215050 -0.20288 -0.0223799 0.8927838 1.000000
Q12 -0.629331 0.655487 0.012161 0.309664 0.1157867 -0.699531 0.847357 -0.64144 -0.7249509 0.0909363 0.251994
Q13 -0.533542 0.675629 0.162709 0.404717 0.2613770 -0.580689 0.702748 -0.50231 -0.4912728 0.2000266 0.367882
Q14 0.945421 -0.612791 0.355286 -0.021464 0.2468045 0.920637 -0.699229 0.39175 0.5744558 0.2705091 0.071148
Q15 -0.636207 0.640968 -0.010426 0.341816 0.1207882 -0.705348 0.814945 -0.58664 -0.6666860 0.0794910 0.245250
Q16 0.929780 -0.618395 0.311804 -0.053276 0.2273944 0.942056 -0.702085 0.44558 0.6264028 0.2524549 0.064125
Q17 -0.472290 0.266641 0.016799 0.174765 0.0736577 -0.576462 0.541371 -0.58724 -0.6684263 0.0984235 0.140595
Q18 -0.717615 0.636452 -0.052928 0.271757 0.0720727 -0.759054 0.861777 -0.58537 -0.7045669 0.0165061 0.200735
Q19 -0.804256 0.710715 -0.280133 0.052548 -0.1902913 -0.823574 0.771624 -0.54052 -0.6809657 -0.2316356 -0.029167
Q20 -0.678354 0.660575 -0.068379 0.211444 0.0144480 -0.744670 0.726166 -0.66879 -0.7082053 0.0010531 0.124715
Q21 -0.286541 0.177678 -0.062787 0.127904 -0.0049781 -0.288547 0.363266 -0.20107 -0.2943324 -0.0472171 0.071144
Q22 -0.738675 0.631825 -0.165075 0.178604 -0.0447418 -0.782069 0.861210 -0.63106 -0.7662069 -0.0731990 0.094524
Q23 0.733269 -0.642773 0.194811 -0.188677 0.0469863 0.768159 -0.786200 0.52412 0.6114409 0.0897607 -0.084469
Q24 -0.376547 0.101645 -0.356271 -0.187751 -0.3253820 -0.355064 0.154559 -0.20875 -0.2911569 -0.3044160 -0.234908
Q25 -0.648699 0.568217 -0.050575 0.174185 0.0337853 -0.705827 0.789063 -0.62893 -0.7278929 0.0258192 0.145068
Q26 0.822960 -0.637902 0.371778 -0.027083 0.2502012 0.860155 -0.743857 0.47818 0.6028311 0.2718012 0.116576
Q27 -0.175075 0.254759 0.488093 0.503728 0.5334634 -0.226315 0.364968 -0.45822 -0.3817621 0.5159542 0.597058
Q28 0.439349 -0.109651 0.918351 0.727931 0.8893743 0.329346 -0.049475 -0.17530 0.0093075 0.8961789 0.797133
Q29 -0.647357 0.476807 -0.197550 0.102262 -0.1184325 -0.709008 0.625524 -0.57488 -0.6759160 -0.1264482 0.014425
Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22
Q1 -0.6293313 -0.533542 0.945421 -0.636207 0.929780 -0.472290 -0.717615 -0.804256 -0.6783540 -0.2865413 -0.738675
Q2 0.6554867 0.675629 -0.612791 0.640968 -0.618395 0.266641 0.636452 0.710715 0.6605754 0.1776784 0.631825
Q3 0.0121612 0.162709 0.355286 -0.010426 0.311804 0.016799 -0.052928 -0.280133 -0.0683787 -0.0627872 -0.165075
Q4 0.3096644 0.404717 -0.021464 0.341816 -0.053276 0.174765 0.271757 0.052548 0.2114438 0.1279044 0.178604
Q5 0.1157867 0.261377 0.246805 0.120788 0.227394 0.073658 0.072073 -0.190291 0.0144480 -0.0049781 -0.044742
Q6 -0.6995315 -0.580689 0.920637 -0.705348 0.942056 -0.576462 -0.759054 -0.823574 -0.7446698 -0.2885470 -0.782069
Q7 0.8473567 0.702748 -0.699229 0.814945 -0.702085 0.541371 0.861777 0.771624 0.7261662 0.3632662 0.861210
Q8 -0.6414365 -0.502315 0.391749 -0.586636 0.445579 -0.587243 -0.585373 -0.540517 -0.6687912 -0.2010743 -0.631063
Q9 -0.7249509 -0.491273 0.574456 -0.666686 0.626403 -0.668426 -0.704567 -0.680966 -0.7082053 -0.2943324 -0.766207
Q10 0.0909363 0.200027 0.270509 0.079491 0.252455 0.098424 0.016506 -0.231636 0.0010531 -0.0472171 -0.073199
Q11 0.2519939 0.367882 0.071148 0.245250 0.064125 0.140595 0.200735 -0.029167 0.1247149 0.0711443 0.094524
Q12 1.0000000 0.683431 -0.673635 0.792097 -0.687296 0.519022 0.817492 0.756559 0.6810529 0.2899437 0.854753
Q13 0.6834311 1.000000 -0.527548 0.657562 -0.546662 0.346851 0.735671 0.645002 0.6327067 0.1984262 0.660750
Q14 -0.6736353 -0.527548 1.000000 -0.698523 0.961319 -0.550891 -0.752549 -0.801202 -0.6893170 -0.2989303 -0.749573
Q15 0.7920966 0.657562 -0.698523 1.000000 -0.683392 0.550653 0.805504 0.732304 0.7075210 0.3839278 0.761739
Q16 -0.6872962 -0.546662 0.961319 -0.683392 1.000000 -0.570933 -0.735797 -0.781346 -0.7074364 -0.2774829 -0.758678
Q17 0.5190219 0.346851 -0.550891 0.550653 -0.570933 1.000000 0.589132 0.511061 0.5326211 0.3039737 0.534264
Q18 0.8174917 0.735671 -0.752549 0.805504 -0.735797 0.589132 1.000000 0.847268 0.7912557 0.4411803 0.854549
Q19 0.7565592 0.645002 -0.801202 0.732304 -0.781346 0.511061 0.847268 1.000000 0.8076757 0.3928627 0.823240
Q20 0.6810529 0.632707 -0.689317 0.707521 -0.707436 0.532621 0.791256 0.807676 1.0000000 0.4005606 0.750839
Q21 0.2899437 0.198426 -0.298930 0.383928 -0.277483 0.303974 0.441180 0.392863 0.4005606 1.0000000 0.339795
Q22 0.8547533 0.660750 -0.749573 0.761739 -0.758678 0.534264 0.854549 0.823240 0.7508393 0.3397954 1.000000
Q23 -0.7407920 -0.571199 0.810167 -0.821485 0.788042 -0.614008 -0.767599 -0.769463 -0.6425164 -0.3399358 -0.776937
Q24 0.1742024 0.022799 -0.348973 0.244269 -0.319010 0.215908 0.247074 0.303356 0.2326004 0.3507473 0.302903
Q25 0.7967985 0.563559 -0.702379 0.747736 -0.697228 0.555257 0.804940 0.725921 0.6798083 0.2963650 0.841189
Q26 -0.6852619 -0.542442 0.860202 -0.717133 0.854162 -0.520843 -0.714752 -0.779786 -0.6388519 -0.2997380 -0.758445
Q27 0.4483329 0.427110 -0.190480 0.370052 -0.212866 0.241532 0.381691 0.188449 0.3340420 0.0256460 0.376079
Q28 -0.0027504 0.130873 0.384711 -0.018465 0.360912 0.030972 -0.057772 -0.301864 -0.0602473 -0.0814139 -0.149827
Q29 0.6120949 0.427765 -0.684780 0.667340 -0.661465 0.617876 0.700266 0.700128 0.6010068 0.3679922 0.692510
Q23 Q24 Q25 Q26 Q27 Q28 Q29
Q1 0.733269 -0.376547 -0.648699 0.822960 -0.175075 0.4393492 -0.647357
Q2 -0.642773 0.101645 0.568217 -0.637902 0.254759 -0.1096512 0.476807
Q3 0.194811 -0.356271 -0.050575 0.371778 0.488093 0.9183507 -0.197550
Q4 -0.188677 -0.187751 0.174185 -0.027083 0.503728 0.7279314 0.102262
Q5 0.046986 -0.325382 0.033785 0.250201 0.533463 0.8893743 -0.118432
Q6 0.768159 -0.355064 -0.705827 0.860155 -0.226315 0.3293465 -0.709008
Q7 -0.786200 0.154559 0.789063 -0.743857 0.364968 -0.0494752 0.625524
Q8 0.524125 -0.208747 -0.628933 0.478182 -0.458215 -0.1752977 -0.574877
Q9 0.611441 -0.291157 -0.727893 0.602831 -0.381762 0.0093075 -0.675916
Q10 0.089761 -0.304416 0.025819 0.271801 0.515954 0.8961789 -0.126448
Q11 -0.084469 -0.234908 0.145068 0.116576 0.597058 0.7971327 0.014425
Q12 -0.740792 0.174202 0.796798 -0.685262 0.448333 -0.0027504 0.612095
Q13 -0.571199 0.022799 0.563559 -0.542442 0.427110 0.1308734 0.427765
Q14 0.810167 -0.348973 -0.702379 0.860202 -0.190480 0.3847106 -0.684780
Q15 -0.821485 0.244269 0.747736 -0.717133 0.370052 -0.0184650 0.667340
Q16 0.788042 -0.319010 -0.697228 0.854162 -0.212866 0.3609122 -0.661465
Q17 -0.614008 0.215908 0.555257 -0.520843 0.241532 0.0309724 0.617876
Q18 -0.767599 0.247074 0.804940 -0.714752 0.381691 -0.0577725 0.700266
Q19 -0.769463 0.303356 0.725921 -0.779786 0.188449 -0.3018643 0.700128
Q20 -0.642516 0.232600 0.679808 -0.638852 0.334042 -0.0602473 0.601007
Q21 -0.339936 0.350747 0.296365 -0.299738 0.025646 -0.0814139 0.367992
Q22 -0.776937 0.302903 0.841189 -0.758445 0.376079 -0.1498272 0.692510
Q23 1.000000 -0.325949 -0.721351 0.899435 -0.256831 0.2382518 -0.761508
Q24 -0.325949 1.000000 0.195955 -0.368990 -0.092197 -0.3360942 0.442955
Q25 -0.721351 0.195955 1.000000 -0.661227 0.514148 -0.0183770 0.615179
Q26 0.899435 -0.368990 -0.661227 1.000000 -0.149433 0.4228033 -0.741636
Q27 -0.256831 -0.092197 0.514148 -0.149433 1.000000 0.5116855 0.208923
Q28 0.238252 -0.336094 -0.018377 0.422803 0.511686 1.0000000 -0.203549
Q29 -0.761508 0.442955 0.615179 -0.741636 0.208923 -0.2035487 1.000000
$Alpha
No.of.items Cronbachs.alpha
1 29 0.6428
$Conf.Alpha
SE.for.alpha Lower Upper
1 0.097529 0.45164 0.83396
$Bootstrap.Simmulations
[1] 0.5198 0.7945 0.5694 0.3603 0.6138 0.6913 0.6971 0.7648 0.4157 0.3701 0.3184 0.6239 0.4052 0.6847
[15] 0.6875 0.7094 0.6708 0.5313 0.4288 0.6546 0.7043 0.7528 0.7238 0.5501 0.6307 0.5435 0.3473 0.5134
[29] 0.4686 0.7023 0.5022 0.4586 0.2231 0.6679 0.6861 0.5025 0.5333 0.6978 0.7239 0.4547 0.6369 0.5098
[43] 0.6872 0.6916 0.6167 0.4950 0.6141 0.6513 0.7447 0.6882 0.5736 0.5755 0.7293 0.7610 0.7651 0.7855
[57] 0.4608 0.4820 0.6365 0.4323 0.5904 0.6105 0.6761 0.4927 0.6581 0.5881 0.7079 0.7095 0.6566 0.5005
[71] 0.6565 0.6363 0.5020 0.6858 0.7269 0.6187 0.7620 0.6991 0.4620 0.6424 0.4068 0.7383 0.7334 0.2338
[85] 0.6624 0.6628 0.4598 0.6124 0.6944 0.7369 0.6668 0.6556 0.5932 0.4572 0.6409 0.5963 0.6071 0.7467
[99] 0.5910 0.7661 0.5677 0.7295 0.7464 0.7249 0.6410 0.5479 0.6228 0.5467 0.6984 0.5772 0.2864 0.7038
[113] 0.6162 0.4988 0.4315 0.6877 0.5594 0.6643 0.6253 0.7363 0.6120 0.5735 0.5080 0.6568 0.5533 0.7023
[127] 0.6118 0.7560 0.6471 0.4108 0.2546 0.6557 0.7575 0.6735 0.6326 0.6484 0.6757 0.7261 0.6903 0.7026
[141] 0.5028 0.7531 0.7070 0.5167 0.7242 0.6894 0.4887 0.2848 0.7199 0.7419 0.6823 0.4749 0.7212 0.7016
[155] 0.7731 0.5767 0.6537 0.6198 0.6016 0.6054 0.6191 0.6686 0.6878 0.6460 0.6328 0.5719 0.6545 0.6640
[169] 0.7535 0.4883 0.6243 0.5762 0.6914 0.5800 0.4964 0.6302 0.7037 0.5622 0.7288 0.7843 0.6241 0.7713
[183] 0.6517 0.6417 0.5954 0.5804 0.5968 0.7010 0.5976 0.6858 0.5803 0.6752 0.6847 0.7091 0.5005 0.7165
[197] 0.6471 0.3398 0.6074 0.7636 0.7035 0.5490 0.6349 0.6933 0.6663 0.6643 0.6481 0.6271 0.6060 0.6733
[211] 0.6563 0.6654 0.7606 0.6520 0.5270 0.5480 0.6259 0.7677 0.7205 0.5958 0.7305 0.6110 0.6558 0.6498
[225] 0.3353 0.8059 0.7331 0.6973 0.5746 0.6404 0.5297 0.6778 0.5602 -0.2756 0.2933 0.4472 0.8081 0.2553
[239] 0.8272 0.6975 0.7226 0.7537 0.3732 0.6703 0.5912 0.7688 0.5887 0.5901 0.6214 0.7447 0.4577 0.3960
[253] 0.6755 0.6404 0.4513 0.7343 0.4834 0.7396 0.7185 0.5191 0.6692 0.5368 0.6347 0.7681 0.6754 0.5729
[267] 0.2274 0.7079 0.6579 0.5711 0.7253 0.6219 0.6707 0.6157 0.6170 0.7077 0.7186 0.7126 0.6807 0.4204
[281] 0.6218 0.3122 0.7055 0.4688 0.6433 0.7018 0.5790 0.7315 0.7889 0.5369 0.7923 0.5523 0.6423 0.6281
[295] 0.6494 0.5642 0.5105 0.5990 0.6513 0.6219 0.3943 0.6280 0.5171 0.5722 0.7420 0.6182 0.2641 0.6799
[309] 0.6127 0.7082 0.6008 0.5913 0.6585 0.4216 0.6969 0.6654 0.6401 0.6243 0.7259 0.6867 0.7178 0.5551
[323] 0.7145 0.5963 0.5910 0.6537 0.2128 0.6469 0.3761 0.7796 0.4132 0.6014 0.6667 0.6668 0.6297 0.7131
[337] 0.4540 0.5638 0.7206 0.4194 0.7391 0.7720 -0.5409 0.6392 0.4449 0.6490 0.7296 0.5159 0.3464 0.7065
[351] 0.7893 0.6968 0.1331 0.3458 0.4332 0.4893 0.7537 0.7101 0.7236 0.5534 0.6651 0.4386 0.6013 0.7285
[365] 0.4529 0.6844 0.7242 0.7493 0.5641 0.5727 0.6034 0.4364 0.3356 0.5561 0.1240 0.6495 0.6338 0.6492
[379] 0.7649 0.5672 0.6346 0.7258 0.6931 0.4413 0.3039 0.6376 0.5328 0.5039 0.5639 0.4670 0.6524 0.7571
[393] 0.4984 0.5845 0.6144 0.8382 0.6691 0.5555 0.6633 0.5145 0.6879 0.7212 0.6074 0.5838 0.6533 0.6546
[407] 0.4942 0.1588 0.6438 0.6025 0.1279 0.7274 0.6254 0.4281 0.7365 0.6605 0.6681 0.7186 0.6868 0.4237
[421] 0.5638 0.7231 0.3958 0.5998 0.7681 0.7450 0.6777 0.6409 0.6013 0.1270 0.7808 0.5317 0.7457 0.5668
[435] 0.7590 0.4695 0.7454 0.7656 0.6891 0.6215 0.6696 0.4794 0.4723 0.6310 0.5620 0.6825 0.7608 0.4745
[449] 0.6625 0.4740 0.6677 0.6269 0.7032 0.7002 0.5230 0.7251 0.7380 0.7124 0.6913 0.6093 0.6829 0.6921
[463] 0.5677 0.7242 0.6717 0.6704 0.2469 0.6914 0.7035 0.6107 0.4400 0.5309 0.6983 0.5597 0.4141 0.1608
[477] 0.6675 0.5653 0.7608 0.6105 0.7223 0.7407 0.6643 0.7107 0.5971 0.6628 0.7474 0.5838 0.6892 0.6220
[491] 0.6764 0.5790 0.6635 0.6169 0.6333 0.5789 0.4904 0.6447 0.5976 0.6780 0.7449 0.6512 0.5118 0.4133
[505] 0.5435 0.7175 0.5747 0.2613 0.6263 0.6965 0.7227 0.6345 0.5919 0.6041 0.6890 0.7542 0.5127 0.5343
[519] 0.3823 0.5212 0.7035 0.6848 0.6449 0.6770 0.4470 0.2798 0.6460 0.6506 0.3436 0.5184 0.6541 0.5941
[533] 0.7233 0.2918 0.7890 0.7237 0.6513 0.8018 0.5615 0.6785 0.5747 0.5633 0.6811 0.5260 0.4598 0.6608
[547] 0.5128 0.6701 0.7552 0.6982 0.4849 0.6329 0.3796 0.6184 0.6644 0.7980 0.7953 0.7132 0.6760 0.5991
[561] 0.7314 0.5763 0.5983 0.6453 0.3681 0.7029 0.6511 0.6191 0.5524 0.5413 0.7162 0.7254 0.6443 0.6184
[575] 0.7165 0.7774 0.4970 0.6986 0.7053 0.6539 0.6951 0.5208 0.6682 0.1940 0.7451 0.6414 0.4985 0.6001
[589] 0.7048 0.5823 0.6455 0.6612 0.4617 0.5823 0.2705 0.7522 0.7083 0.5297 0.6295 0.6181 0.6068 0.7023
[603] 0.5096 0.7172 0.6813 0.6484 0.4315 0.4810 0.7781 0.4018 0.7349 0.5818 0.6051 0.4324 0.7159 0.6010
[617] 0.5643 0.6320 0.7551 0.6258 0.6607 0.6314 0.5892 0.4829 0.3277 0.7041 0.4651 0.7011 0.6950 0.4066
[631] 0.3776 0.4316 0.7129 0.5870 0.6289 0.7664 0.6741 0.7476 0.4704 0.5736 0.5943 0.7875 0.5986 0.8135
[645] 0.4074 0.6170 0.6298 0.7054 0.7237 0.6026 0.6202 0.6865 0.2990 0.4364 0.5176 0.6388 0.6910 0.4711
[659] 0.6765 0.6282 0.7479 0.5553 0.7492 0.3981 0.5864 0.2380 0.5383 0.7158 0.6359 0.7334 0.3212 0.6514
[673] 0.5309 0.6603 0.7278 0.5470 0.5588 0.7108 0.5372 0.7168 0.6587 0.7267 0.4304 0.7625 0.6646 0.6052
[687] 0.5764 0.6637 0.5889 0.4809 0.3260 0.6191 0.7014 0.3749 0.6981 0.6428 0.3513 0.7575 0.5819 0.5190
[701] 0.7472 0.6948 0.7328 0.7220 0.6155 0.5880 0.1084 0.5190 0.5676 0.7225 0.5768 0.4903 0.7339 0.3080
[715] 0.7797 0.2927 0.6446 0.7874 0.5471 0.6299 0.6330 0.6401 0.5661 0.5756 0.7451 0.6495 0.7289 0.6804
[729] 0.7138 0.6369 0.5354 0.3913 0.5788 0.5645 0.6666 0.6530 0.7101 0.4804 0.5884 0.6258 0.6106 0.6988
[743] 0.5717 0.4916 0.6424 0.7681 0.7078 0.5715 0.6021 0.6785 0.7036 0.4761 0.5047 0.6975 0.5119 0.6470
[757] 0.6132 0.5733 0.6735 0.6911 0.6103 0.5987 0.4882 0.7544 0.7306 0.7709 0.6306 0.6247 0.7138 0.5791
[771] 0.5591 0.5162 0.3842 0.7440 0.4829 0.4942 0.4838 0.6071 0.7342 0.7220 0.5760 0.6391 0.5456 0.5536
[785] 0.5151 0.6708 0.5074 0.5915 0.6612 0.5020 0.5229 0.6816 0.5872 0.7762 0.6362 0.7679 0.6768 0.6222
[799] 0.6499 0.5789 0.5322 0.6504 0.5134 0.5204 0.7797 0.6831 0.4389 0.7864 0.5480 0.5457 0.6399 0.5599
[813] 0.4832 0.6242 0.6104 0.7021 0.6890 0.7732 0.6488 0.7594 0.5381 0.6195 0.7015 0.6803 0.6200 0.6180
[827] 0.6864 0.6386 0.4197 0.5622 0.7886 0.7407 0.6400 0.4925 0.5436 0.6639 0.7273 0.6193 0.7280 0.6999
[841] 0.6560 0.6570 0.4329 0.7441 0.7404 0.5996 0.5949 0.6547 0.7250 0.7487 0.4772 0.6742 0.6383 0.4998
[855] 0.5923 0.5116 0.5486 0.6308 0.6490 0.6033 0.5923 0.4790 0.5612 0.5335 0.7233 0.2419 0.6922 0.4259
[869] 0.6849 0.5701 0.4678 0.5096 0.6191 0.4286 0.5376 0.6928 0.6710 0.4155 0.6210 0.6238 0.6063 0.6992
[883] 0.6002 0.7148 0.7486 0.3661 0.7634 0.6077 0.5677 0.6955 0.3521 0.5366 0.6299 0.8094 0.6862 0.6703
[897] 0.6748 0.5767 0.5887 0.5033 0.6460 0.6734 0.4572 0.7765 0.7228 0.6229 0.5877 0.5401 0.6781 0.7253
[911] 0.6400 0.4023 0.5840 0.6894 0.7079 0.7133 0.6155 0.7384 0.6890 0.7135 0.3253 0.6608 0.7818 0.4686
[925] 0.5442 0.5405 0.1663 0.6444 0.4869 0.5227 0.7165 -0.2324 0.7317 0.6633 0.6742 0.5639 0.6533 0.6316
[939] 0.7605 0.7726 0.6908 0.4527 0.6396 0.7211 0.4975 0.6988 0.7498 0.5594 0.6745 0.6954 0.5146 0.7373
[953] 0.6500 0.7199 0.7126 0.7647 0.7260 0.7161 0.7050 0.4789 0.5724 0.7332 0.7485 0.7131 0.7479 0.3867
[967] 0.7165 0.5798 0.5472 0.6886 0.3518 0.6033 0.5987 0.5546 0.6737 0.7087 0.6815 0.5415 0.7029 0.7241
[981] 0.7072 0.5153 0.7003 0.5347 0.5209 0.6690 0.7965 0.5204 0.7055 0.4797 0.8220 0.7004 0.5948 0.6530
[995] 0.6124 0.6702 0.6641 0.3928 0.7421 0.7021
$Alpha.Bootstrap
Mean SE Lower Upper
1 0.608 0.134 0.3802 0.9054
$Std.Alpha
No.of.items Standardized.alpha
1 29 0.68543
$Conf.Std.Alpha
SE.for.standardized.alpha Lower Upper
1 0.0806 0.52746 0.84341
$Bootstrap.Std.Simmulations
[1] 0.2967 0.8193 0.6977 0.6311 0.7212 0.7428 0.6969 0.7868 0.6207 0.7991 0.7476 0.7044 0.6378 0.7926 0.5816 0.7731
[17] 0.6597 0.6930 0.8062 0.7361 0.8088 0.7898 0.7124 0.6989 0.5420 0.7510 0.7341 0.6785 0.8002 0.7830 0.7160 0.7423
[33] 0.5948 0.6766 0.8039 0.7557 0.8196 0.6747 0.7892 0.7182 0.7823 0.7286 0.7647 0.4419 0.6896 0.6937 0.8340 0.6729
[49] 0.7020 0.7623 0.7656 0.3767 0.7444 0.6948 0.7859 0.7258 0.6817 0.6046 0.6258 0.7717 0.7210 0.6871 0.7761 0.6710
[65] 0.6046 0.6634 0.6358 0.7090 0.7319 0.7552 0.6827 0.7453 0.7717 0.7470 0.7286 0.7227 0.7487 0.7519 0.6841 0.6220
[81] 0.6015 0.6775 0.7336 0.6955 0.5415 0.7990 0.7510 0.5605 0.6459 0.7437 0.7091 0.7023 0.7890 0.6082 0.7663 0.7362
[97] 0.7183 0.7961 0.7039 0.5428 0.7775 0.6822 0.5589 0.6261 0.7615 0.6702 0.6037 0.5585 0.7865 0.7718 0.7067 0.6477
[113] 0.7918 0.8005 0.5250 0.6964 0.7340 0.7160 0.6651 0.7237 0.8028 0.7189 0.6793 0.5901 0.6480 0.8258 0.6000 0.7630
[129] 0.7616 0.7259 0.6185 0.7285 0.7641 0.6155 0.7049 0.7447 0.8210 0.6051 0.7757 0.5893 0.6839 0.7378 0.4801 0.7349
[145] 0.7020 0.8124 0.7360 0.7341 0.7112 0.7636 0.5879 0.7617 0.7770 0.7791 0.7611 0.6385 0.7429 0.5718 0.7454 0.7740
[161] 0.5747 0.6495 0.5615 0.7866 0.6910 0.5801 0.7725 0.6597 0.7010 0.7814 0.7847 0.6127 0.7969 0.8040 0.6899 0.6646
[177] 0.7567 0.7663 0.7666 0.5475 0.6222 0.7727 0.6803 0.7033 0.7506 0.7859 0.6782 0.6419 0.4838 0.8175 0.6677 0.6813
[193] 0.7683 0.7859 0.6862 0.6837 0.7535 0.6017 0.7578 0.7558 0.7769 0.7510 0.7477 0.6899 0.6062 0.5104 0.7845 0.7342
[209] 0.7893 0.7226 0.6928 0.7695 0.7091 0.7083 0.8190 0.7245 0.5851 0.7608 0.7884 0.6361 0.5309 0.7630 0.7760 0.7595
[225] 0.7946 0.7290 0.6758 0.7851 0.8054 0.5880 0.8073 0.7550 0.6807 0.7175 0.7715 0.7025 0.7204 0.7404 0.8086 0.7381
[241] 0.6366 0.7153 0.7655 0.7512 0.6689 0.7191 0.7465 0.6014 0.7676 0.6803 0.7295 0.6303 0.7578 0.7167 0.6770 0.7097
[257] 0.7550 0.4380 0.7441 0.7838 0.8247 0.8073 0.7242 0.6703 0.6969 0.6894 0.6314 0.7047 0.7372 0.5086 0.6358 0.7458
[273] 0.6249 0.7660 0.7544 0.7252 0.6166 0.4385 0.6661 0.8091 0.7804 0.7250 0.6938 0.7139 0.7364 0.7747 0.7349 0.8526
[289] 0.7568 0.6780 0.7464 0.7438 0.7966 0.6850 0.6986 0.7047 0.6584 0.7829 0.5781 0.5073 0.6346 0.7483 0.6813 0.7225
[305] 0.8070 0.7104 0.7868 0.5971 0.7860 0.7774 0.7916 0.7489 0.7468 0.7216 0.7571 0.6151 0.7016 0.7826 0.7346 0.7422
[321] 0.7789 0.7217 0.7450 0.6262 0.6711 0.7140 0.6486 0.6342 0.7274 0.7478 0.7392 0.7180 0.7153 0.7442 0.4878 0.7813
[337] 0.7719 0.7921 0.7737 0.7187 0.7824 0.6242 0.7813 0.5811 0.7093 0.7283 0.7213 0.7997 0.5538 0.7785 0.5565 0.6938
[353] 0.8206 0.6929 0.6946 0.8092 0.7305 0.7130 0.6374 0.7510 0.7427 0.8130 0.7780 0.7606 0.5339 0.7734 0.7888 0.7258
[369] 0.7803 0.6371 0.6976 0.6844 0.6945 0.7496 0.8251 0.7107 0.4777 0.6723 0.7255 0.7671 0.6054 0.6965 0.6542 0.6959
[385] 0.7931 0.6997 0.7775 0.7033 0.6251 0.8336 0.8117 0.7661 0.7939 0.7006 0.6222 0.7314 0.7286 0.5788 0.6734 0.7364
[401] 0.5708 0.6879 0.6893 0.6815 0.7831 0.5834 0.7189 0.6464 0.7252 0.7523 0.8099 0.6397 0.6624 0.7408 0.6736 0.7971
[417] 0.8532 0.7799 0.7819 0.6978 0.7678 0.7174 0.7694 0.6883 0.7316 0.6807 0.6895 0.8002 0.7781 0.6808 0.6021 0.7888
[433] 0.6488 0.7373 0.7906 0.7842 0.7228 0.8025 0.6588 0.7385 0.6212 0.7549 0.6643 0.7430 0.6696 0.7150 0.7606 0.6998
[449] 0.7843 0.7250 0.7641 0.7898 0.7695 0.7570 0.4816 0.7730 0.7226 0.6651 0.6263 0.8224 0.7986 0.7694 0.7799 0.8170
[465] 0.6028 0.7668 0.6717 0.7859 0.7158 0.7269 0.7785 0.7588 0.7525 0.6370 0.8155 0.5607 0.7575 0.7172 0.6111 0.6773
[481] 0.6766 0.7768 0.7799 0.4665 0.6452 0.7391 0.5678 0.7072 0.7372 0.7447 0.7354 0.7431 0.6893 0.6012 0.6995 0.7168
[497] 0.5969 0.6461 0.7217 0.7917 0.7279 0.8177 0.6283 0.6626 0.7368 0.7420 0.7893 0.6296 0.5695 0.8081 0.7113 0.7425
[513] 0.5401 0.6250 0.7585 0.7334 0.7797 0.7376 0.6870 0.5855 0.7153 0.7035 0.6385 0.5854 0.7088 0.7578 0.7518 0.7313
[529] 0.6555 0.6169 0.6336 0.6892 0.7560 0.7637 0.6615 0.7368 0.8107 0.7666 0.6134 0.6938 0.7737 0.7292 0.7498 0.7751
[545] 0.6885 0.6885 0.6876 0.6564 0.7387 0.7639 0.7278 0.7103 0.7711 0.7281 0.6983 0.7195 0.7635 0.6261 0.7524 0.7927
[561] 0.7733 0.8123 0.8051 0.8019 0.7739 0.7947 0.7363 0.8044 0.6761 0.6792 0.7525 0.6740 0.6876 0.6777 0.7479 0.8406
[577] 0.6958 0.8110 0.7534 0.5732 0.7335 0.6822 0.7504 0.6106 0.7214 0.6452 0.7881 0.7613 0.7788 0.7957 0.7125 0.6762
[593] 0.7798 0.7336 0.7432 0.7365 0.7480 0.7929 0.5885 0.7895 0.7362 0.7254 0.7291 0.7967 0.6719 0.7231 0.5354 0.7066
[609] 0.8260 0.7581 0.7004 0.8021 0.7262 0.4251 0.7753 0.7060 0.7614 0.7302 0.7845 0.7867 0.6965 0.7611 0.6620 0.7238
[625] 0.6187 0.8161 0.6456 0.7842 0.6895 0.6971 0.8186 0.7179 0.7660 0.8064 0.7352 0.5158 0.8121 0.6732 0.8097 0.7155
[641] 0.7311 0.7629 0.7854 0.6689 0.3064 0.6895 0.6873 0.7634 0.6977 0.6873 0.4642 0.7952 0.7797 0.7877 0.7334 0.6875
[657] 0.7850 0.6823 0.6554 0.7228 0.6913 0.6953 0.7468 0.6651 0.7233 0.6330 0.7153 0.7534 0.6396 0.7164 0.6480 0.6955
[673] 0.5958 0.6904 0.7131 0.7384 0.5772 0.5170 0.7860 0.6459 0.6817 0.7343 0.7466 0.7427 0.6877 0.6412 0.6697 0.7132
[689] 0.6701 0.6153 0.7500 0.6537 0.6639 0.7974 0.6930 0.6915 0.7595 0.6001 0.7545 0.6403 0.4748 0.6546 0.7837 0.7423
[705] 0.7693 0.7372 0.7161 0.6855 0.7465 0.7493 0.7472 0.7386 0.8226 0.7684 0.6878 0.6776 0.7650 0.7518 0.5325 0.7001
[721] 0.5905 0.7417 0.7218 0.7325 0.5843 0.6395 0.6233 0.7084 0.7175 0.7409 0.6374 0.7020 0.7437 0.7552 0.7575 0.6537
[737] 0.5757 0.7534 0.7720 0.7905 0.7368 0.7708 0.7150 0.6222 0.7287 0.7886 0.5715 0.7263 0.7018 0.7450 0.7800 0.7824
[753] 0.6311 0.7309 0.7951 0.5540 0.7650 0.5524 0.6398 0.6799 0.7711 0.6826 0.7964 0.7003 0.6536 0.8136 0.7335 0.5641
[769] 0.8408 0.7040 0.7295 0.5748 0.5911 0.6311 0.7633 0.6815 0.7329 0.5689 0.6927 0.6541 0.7874 0.7058 0.6392 0.8246
[785] 0.7337 0.6538 0.8145 0.5557 0.6345 0.4302 0.7679 0.7528 0.6877 0.7640 0.5980 0.6060 0.7258 0.6882 0.7596 0.7582
[801] 0.8199 0.7103 0.7465 0.6931 0.7619 0.7583 0.7857 0.7395 0.7011 0.7952 0.6470 0.7469 0.7070 0.7293 0.7467 0.7521
[817] 0.5953 0.7462 0.6315 0.7687 0.7320 0.6923 0.7034 0.7747 0.6858 0.7618 0.7388 0.7259 0.5760 0.5033 0.7467 0.4394
[833] 0.7356 0.6594 0.5171 0.7974 0.5766 0.5700 0.7845 0.7032 0.7665 0.7812 0.7235 0.7605 0.7155 0.5911 0.4530 0.6763
[849] 0.6691 0.8023 0.7921 0.6916 0.7621 0.6885 0.8063 0.7339 0.7672 0.6416 0.7514 0.6678 0.8215 0.7777 0.7476 0.7296
[865] 0.7934 0.7573 0.6975 0.6693 0.7314 0.6782 0.7603 0.7544 0.7538 0.6888 0.7221 0.7838 0.7112 0.7641 0.7469 0.5604
[881] 0.7549 0.7911 0.6956 0.7535 0.8238 0.7833 0.7280 0.8453 0.7656 0.7085 0.8277 0.8354 0.7636 0.6114 0.5513 0.7770
[897] 0.7726 0.7873 0.6982 0.7798 0.6888 0.7946 0.6953 0.7538 0.6956 0.7438 0.7828 0.7436 0.7744 0.6910 0.7420 0.6880
[913] 0.6232 0.7889 0.6650 0.7085 0.8188 0.6980 0.7410 0.7336 0.6982 0.6630 0.8018 0.7405 0.7447 0.7316 0.7727 0.7774
[929] 0.7268 0.7124 0.7630 0.7657 0.6342 0.7186 0.6854 0.7681 0.7594 0.7265 0.6839 0.6808 0.7373 0.7296 0.8205 0.6398
[945] 0.8091 0.7570 0.7781 0.7495 0.7561 0.8024 0.7339 0.7897 0.5447 0.6430 0.7435 0.7295 0.7228 0.4358 0.4157 0.6499
[961] 0.6933 0.7532 0.7363 0.7721 0.7333 0.7189 0.6005 0.7555 0.5618 0.8078 0.7977 0.6641 0.6520 0.8075 0.5037 0.7287
[977] 0.6457 0.7182 0.7317 0.6366 0.7507 0.8176 0.7764 0.6469 0.7831 0.7414 0.6734 0.7347 0.6831 0.7155 0.7017 0.4994
[993] 0.7531 0.8075 0.7589 0.6555 0.6520 0.7767 0.7149 0.6826
$Std.Alpha.Bootstrap
Mean SE Lower Upper
1 0.7102 0.0787 0.5311 0.8397
$Scale.Stats
Scale.mean Mean.if.deleted Scale.variance Variance.if.deleted
1 10.772 10.416 2.8306 2.8628
2 10.772 10.429 2.8306 2.6680
3 10.772 10.329 2.8306 2.3869
4 10.772 10.352 2.8306 2.3972
5 10.772 10.324 2.8306 2.3334
6 10.772 10.419 2.8306 2.9417
7 10.772 10.408 2.8306 2.5285
8 10.772 10.496 2.8306 3.1358
9 10.772 10.498 2.8306 3.1070
10 10.772 10.331 2.8306 2.3679
11 10.772 10.318 2.8306 2.3688
12 10.772 10.389 2.8306 2.5326
13 10.772 10.381 2.8306 2.5427
14 10.772 10.406 2.8306 2.9101
15 10.772 10.399 2.8306 2.5474
16 10.772 10.387 2.8306 2.9075
17 10.772 10.458 2.8306 2.6882
18 10.772 10.361 2.8306 2.5357
19 10.772 10.429 2.8306 2.6982
20 10.772 10.406 2.8306 2.6152
21 10.772 10.399 2.8306 2.7237
22 10.772 10.403 2.8306 2.6014
23 10.772 10.440 2.8306 3.0619
24 10.772 10.465 2.8306 2.9049
25 10.772 10.406 2.8306 2.5878
26 10.772 10.391 2.8306 2.9009
27 10.772 10.390 2.8306 2.5157
28 10.772 10.330 2.8306 2.4065
29 10.772 10.453 2.8306 2.7229
$Alpha.Stats
Variable Corrected.item.total.cor Squared.multiple.cor Alpha.if.deleted
1 Q1 -0.10867 0.94799 0.66626
2 Q2 0.23437 0.74053 0.63130
3 Q3 0.70058 0.94424 0.58593
4 Q4 0.76232 0.85323 0.58517
5 Q5 0.78503 0.95202 0.57616
6 Q6 -0.20800 0.94617 0.67704
7 Q7 0.37569 0.90563 0.61546
8 Q8 -0.53887 0.78941 0.69217
9 Q9 -0.45174 0.89920 0.69173
10 Q10 0.74122 0.94292 0.58213
11 Q11 0.81450 0.92928 0.57992
12 Q12 0.41572 0.83420 0.61308
13 Q13 0.48791 0.74478 0.61045
14 Q14 -0.16868 0.96195 0.67314
15 Q15 0.39379 0.81733 0.61537
16 Q16 -0.16717 0.96373 0.67109
17 Q17 0.20234 0.73108 0.63402
18 Q18 0.40222 0.90366 0.61410
19 Q19 0.12229 0.89602 0.64204
20 Q20 0.29921 0.81976 0.62502
21 Q21 0.20264 0.40695 0.63494
22 Q22 0.26985 0.89213 0.62684
23 Q23 -0.36866 0.92561 0.68902
24 Q24 -0.19299 0.47212 0.66114
25 Q25 0.32797 0.84940 0.62184
26 Q26 -0.16020 0.92148 0.66861
27 Q27 0.58743 0.71337 0.60440
28 Q28 0.69503 0.91226 0.58846
29 Q29 0.11772 0.76795 0.64140
$call
itemanal(object = "corfact[, -30]", SE.par = 1.96, boots = 1000)
$items
[1] "Variables" "Tendency" "Skewness" "Kurtosis"
[5] "Covariance" "Correlation" "Alpha" "Conf.Alpha"
[9] "Bootstrap.Simmulations" "Alpha.Bootstrap" "Std.Alpha" "Conf.Std.Alpha"
[13] "Bootstrap.Std.Simmulations" "Std.Alpha.Bootstrap" "Scale.Stats" "Alpha.Stats"
[17] "call"
attr(,"class")
[1] "itemanal" "list" # Factor analysis using psycy package
# Two factors
options(scipen=999)
EFAwls2 = fa(corfact,nfactors=2,n.obs =541,rotate = "none",fm="wls")
print(EFAwls2)Factor Analysis using method = wls
Call: fa(r = corfact, nfactors = 2, n.obs = 541, rotate = "none",
fm = "wls")
Standardized loadings (pattern matrix) based upon correlation matrix
WLS1 WLS2
SS loadings 10.79 3.84
Proportion Var 0.36 0.13
Cumulative Var 0.36 0.49
Proportion Explained 0.74 0.26
Cumulative Proportion 0.74 1.00
Mean item complexity = 1.5
Test of the hypothesis that 2 factors are sufficient.
The degrees of freedom for the null model are 435 and the objective function was 19.65 with Chi Square of 10397
The degrees of freedom for the model are 376 and the objective function was 4.19
The root mean square of the residuals (RMSR) is 0.06
The df corrected root mean square of the residuals is 0.06
The harmonic number of observations is 541 with the empirical chi square 1663 with prob < 0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000072
The total number of observations was 541 with Likelihood Chi Square = 2210.4 with prob < 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000012
Tucker Lewis Index of factoring reliability = 0.786
RMSEA index = 0.096 and the 90 % confidence intervals are 0.091 0.099
BIC = -155.92
Fit based upon off diagonal values = 0.98
Measures of factor score adequacy
WLS1 WLS2
Correlation of (regression) scores with factors 0.98 0.95
Multiple R square of scores with factors 0.96 0.90
Minimum correlation of possible factor scores 0.92 0.79# Three factors
EFAwls3 = fa(corfact,nfactors=3,n.obs =541,rotate = "none",fm="wls")
print(EFAwls3)Factor Analysis using method = wls
Call: fa(r = corfact, nfactors = 3, n.obs = 541, rotate = "none",
fm = "wls")
Standardized loadings (pattern matrix) based upon correlation matrix
WLS1 WLS2 WLS3
SS loadings 10.85 3.87 1.46
Proportion Var 0.36 0.13 0.05
Cumulative Var 0.36 0.49 0.54
Proportion Explained 0.67 0.24 0.09
Cumulative Proportion 0.67 0.91 1.00
Mean item complexity = 1.8
Test of the hypothesis that 3 factors are sufficient.
The degrees of freedom for the null model are 435 and the objective function was 19.65 with Chi Square of 10397
The degrees of freedom for the model are 348 and the objective function was 2.2
The root mean square of the residuals (RMSR) is 0.04
The df corrected root mean square of the residuals is 0.04
The harmonic number of observations is 541 with the empirical chi square 614.89 with prob < 0.000000000000000045
The total number of observations was 541 with Likelihood Chi Square = 1159.7 with prob < 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000065
Tucker Lewis Index of factoring reliability = 0.898
RMSEA index = 0.067 and the 90 % confidence intervals are 0.062 0.07
BIC = -1030.4
Fit based upon off diagonal values = 0.99
Measures of factor score adequacy
WLS1 WLS2 WLS3
Correlation of (regression) scores with factors 0.98 0.95 0.90
Multiple R square of scores with factors 0.97 0.90 0.81
Minimum correlation of possible factor scores 0.93 0.81 0.62#Scree Plot
plot(EFAwls2$values, type = "b", xlim=c(1,10),main = "Scree Plot",xlab="Number of Factors",ylab="Eigenvalues")
fa.parallel(corfact, n.obs=541, fm="wls",fa="fa")Parallel analysis suggests that the number of factors = 4 and the number of components = NA 
# Orthogonal factor structure
EFAwlsortho = fa(corfact,nfactors=3,n.obs =541,rotate = "varimax",fm="wls")
print(EFAwlsortho)Factor Analysis using method = wls
Call: fa(r = corfact, nfactors = 3, n.obs = 541, rotate = "varimax",
fm = "wls")
Standardized loadings (pattern matrix) based upon correlation matrix
WLS1 WLS2 WLS3
SS loadings 6.73 5.22 4.22
Proportion Var 0.22 0.17 0.14
Cumulative Var 0.22 0.40 0.54
Proportion Explained 0.42 0.32 0.26
Cumulative Proportion 0.42 0.74 1.00
Mean item complexity = 1.4
Test of the hypothesis that 3 factors are sufficient.
The degrees of freedom for the null model are 435 and the objective function was 19.65 with Chi Square of 10397
The degrees of freedom for the model are 348 and the objective function was 2.2
The root mean square of the residuals (RMSR) is 0.04
The df corrected root mean square of the residuals is 0.04
The harmonic number of observations is 541 with the empirical chi square 614.89 with prob < 0.000000000000000045
The total number of observations was 541 with Likelihood Chi Square = 1159.7 with prob < 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000065
Tucker Lewis Index of factoring reliability = 0.898
RMSEA index = 0.067 and the 90 % confidence intervals are 0.062 0.07
BIC = -1030.4
Fit based upon off diagonal values = 0.99
Measures of factor score adequacy
WLS1 WLS2 WLS3
Correlation of (regression) scores with factors 0.95 0.95 0.93
Multiple R square of scores with factors 0.91 0.90 0.87
Minimum correlation of possible factor scores 0.81 0.80 0.75# Oblique factor structure
EFAwlsobliq = fa(corfact,nfactors=3,n.obs =541,rotate = "oblimin",fm="wls")
print(EFAwlsobliq)Factor Analysis using method = wls
Call: fa(r = corfact, nfactors = 3, n.obs = 541, rotate = "oblimin",
fm = "wls")
Standardized loadings (pattern matrix) based upon correlation matrix
WLS1 WLS2 WLS3
SS loadings 6.43 5.05 4.70
Proportion Var 0.21 0.17 0.16
Cumulative Var 0.21 0.38 0.54
Proportion Explained 0.40 0.31 0.29
Cumulative Proportion 0.40 0.71 1.00
With factor correlations of
WLS1 WLS2 WLS3
WLS1 1.00 0.23 0.53
WLS2 0.23 1.00 0.53
WLS3 0.53 0.53 1.00
Mean item complexity = 1.1
Test of the hypothesis that 3 factors are sufficient.
The degrees of freedom for the null model are 435 and the objective function was 19.65 with Chi Square of 10397
The degrees of freedom for the model are 348 and the objective function was 2.2
The root mean square of the residuals (RMSR) is 0.04
The df corrected root mean square of the residuals is 0.04
The harmonic number of observations is 541 with the empirical chi square 614.89 with prob < 0.000000000000000045
The total number of observations was 541 with Likelihood Chi Square = 1159.7 with prob < 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000065
Tucker Lewis Index of factoring reliability = 0.898
RMSEA index = 0.067 and the 90 % confidence intervals are 0.062 0.07
BIC = -1030.4
Fit based upon off diagonal values = 0.99
Measures of factor score adequacy
WLS1 WLS2 WLS3
Correlation of (regression) scores with factors 0.96 0.96 0.97
Multiple R square of scores with factors 0.93 0.93 0.94
Minimum correlation of possible factor scores 0.86 0.85 0.88# Other factor solutions nfactor=2
EFAres = fa(corfact,nfactors=2,n.obs =541,rotate = "none",fm="minres")
print(EFAres)Factor Analysis using method = minres
Call: fa(r = corfact, nfactors = 2, n.obs = 541, rotate = "none",
fm = "minres")
Standardized loadings (pattern matrix) based upon correlation matrix
MR1 MR2
SS loadings 10.78 3.83
Proportion Var 0.36 0.13
Cumulative Var 0.36 0.49
Proportion Explained 0.74 0.26
Cumulative Proportion 0.74 1.00
Mean item complexity = 1.5
Test of the hypothesis that 2 factors are sufficient.
The degrees of freedom for the null model are 435 and the objective function was 19.65 with Chi Square of 10397
The degrees of freedom for the model are 376 and the objective function was 4.19
The root mean square of the residuals (RMSR) is 0.06
The df corrected root mean square of the residuals is 0.06
The harmonic number of observations is 541 with the empirical chi square 1662.5 with prob < 0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000086
The total number of observations was 541 with Likelihood Chi Square = 2212.8 with prob < 0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000043
Tucker Lewis Index of factoring reliability = 0.786
RMSEA index = 0.096 and the 90 % confidence intervals are 0.091 0.099
BIC = -153.56
Fit based upon off diagonal values = 0.98
Measures of factor score adequacy
MR1 MR2
Correlation of (regression) scores with factors 0.98 0.95
Multiple R square of scores with factors 0.96 0.89
Minimum correlation of possible factor scores 0.92 0.79# Other factor solutons nfactor = 3
EFAresortho = fa(corfact,nfactors=3,n.obs =541,rotate="varimax",fm="minres")
print(EFAresortho)Factor Analysis using method = minres
Call: fa(r = corfact, nfactors = 3, n.obs = 541, rotate = "varimax",
fm = "minres")
Standardized loadings (pattern matrix) based upon correlation matrix
MR1 MR2 MR3
SS loadings 6.73 5.21 4.22
Proportion Var 0.22 0.17 0.14
Cumulative Var 0.22 0.40 0.54
Proportion Explained 0.42 0.32 0.26
Cumulative Proportion 0.42 0.74 1.00
Mean item complexity = 1.4
Test of the hypothesis that 3 factors are sufficient.
The degrees of freedom for the null model are 435 and the objective function was 19.65 with Chi Square of 10397
The degrees of freedom for the model are 348 and the objective function was 2.21
The root mean square of the residuals (RMSR) is 0.04
The df corrected root mean square of the residuals is 0.04
The harmonic number of observations is 541 with the empirical chi square 614.05 with prob < 0.000000000000000054
The total number of observations was 541 with Likelihood Chi Square = 1164.2 with prob < 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000013
Tucker Lewis Index of factoring reliability = 0.897
RMSEA index = 0.067 and the 90 % confidence intervals are 0.062 0.07
BIC = -1025.9
Fit based upon off diagonal values = 0.99
Measures of factor score adequacy
MR1 MR2 MR3
Correlation of (regression) scores with factors 0.95 0.95 0.93
Multiple R square of scores with factors 0.91 0.90 0.87
Minimum correlation of possible factor scores 0.81 0.79 0.74EFAresobliq = fa(corfact,nfactors=3,n.obs =541,rotate = "oblimin",fm="minres")
print(EFAresobliq)Factor Analysis using method = minres
Call: fa(r = corfact, nfactors = 3, n.obs = 541, rotate = "oblimin",
fm = "minres")
Standardized loadings (pattern matrix) based upon correlation matrix
MR1 MR2 MR3
SS loadings 6.43 5.02 4.71
Proportion Var 0.21 0.17 0.16
Cumulative Var 0.21 0.38 0.54
Proportion Explained 0.40 0.31 0.29
Cumulative Proportion 0.40 0.71 1.00
With factor correlations of
MR1 MR2 MR3
MR1 1.00 0.23 0.53
MR2 0.23 1.00 0.53
MR3 0.53 0.53 1.00
Mean item complexity = 1.1
Test of the hypothesis that 3 factors are sufficient.
The degrees of freedom for the null model are 435 and the objective function was 19.65 with Chi Square of 10397
The degrees of freedom for the model are 348 and the objective function was 2.21
The root mean square of the residuals (RMSR) is 0.04
The df corrected root mean square of the residuals is 0.04
The harmonic number of observations is 541 with the empirical chi square 614.05 with prob < 0.000000000000000054
The total number of observations was 541 with Likelihood Chi Square = 1164.2 with prob < 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000013
Tucker Lewis Index of factoring reliability = 0.897
RMSEA index = 0.067 and the 90 % confidence intervals are 0.062 0.07
BIC = -1025.9
Fit based upon off diagonal values = 0.99
Measures of factor score adequacy
MR1 MR2 MR3
Correlation of (regression) scores with factors 0.96 0.96 0.97
Multiple R square of scores with factors 0.93 0.92 0.94
Minimum correlation of possible factor scores 0.86 0.85 0.88##########################
# Factor Scores using psych package
# Two factor solution
# Use raw data fle for factor scores
#############################
# scores ="Anderson"
# scores = "Bartlett"
EFAwls2 = fa(factdat,nfactors=2,n.obs =541,rotate = "none",fm="wls",scores="Thurstone")
head(print(EFAwls2$scores),10) WLS1 WLS2
[1,] -3.038672 1.22767337
[2,] -0.763959 2.00130930
[3,] 0.388270 0.85751153
[4,] -0.691716 0.84937883
[5,] 0.537314 1.41693871
[6,] -0.254618 1.23350914
[7,] 1.261027 0.93640426
[8,] 0.698828 1.91081889
[9,] 0.300286 0.89701481
[10,] -0.742211 0.76769122
[11,] 1.485906 0.84664008
[12,] 0.677976 -1.74847750
[13,] 0.390092 0.69777482
[14,] 0.285306 0.70057273
[15,] -0.393603 -0.35709833
[16,] -1.366093 -1.93455296
[17,] 0.849135 -0.00010282
[18,] 0.146150 -0.15568951
[19,] -0.274063 1.11054553
[20,] 0.101426 0.37247436
[21,] 0.113538 1.31968594
[22,] -0.954200 -0.88718721
[23,] 0.652909 -0.71422387
[24,] -0.723265 1.96843478
[25,] 0.533051 0.46687809
[26,] -1.689948 3.30820315
[27,] -0.644709 -0.52970137
[28,] 0.685501 1.86141364
[29,] 0.230421 -0.78606148
[30,] 0.487787 -1.26866532
[31,] -0.137899 -0.46014189
[32,] -0.981545 -1.40864231
[33,] 0.843459 -0.59228209
[34,] 1.433389 0.63050870
[35,] -0.244874 -1.62325177
[36,] 0.338321 -0.78234081
[37,] 0.365677 0.65536611
[38,] 0.312227 0.34154684
[39,] 0.024854 1.37570481
[40,] 0.509842 0.76450037
[41,] 1.235019 0.34274005
[42,] -0.866739 -0.46433633
[43,] -0.115531 -0.52698260
[44,] 1.615544 0.00594508
[45,] -0.616871 -0.16765826
[46,] -1.969941 0.70538577
[47,] 0.784007 0.37199454
[48,] 0.582848 -0.16553652
[49,] -0.548115 -0.78872427
[50,] -0.226646 0.55624911
[51,] 1.994332 0.70234676
[52,] 1.540774 -0.44652500
[53,] 1.483041 0.39443683
[54,] 2.301067 1.12487701
[55,] 1.409762 0.70848290
[56,] 0.670914 -0.86479697
[57,] -0.075553 -0.52500908
[58,] 1.398565 0.26369770
[59,] 1.272242 -0.13627791
[60,] 1.582399 0.56066525
[61,] -1.660847 1.09652218
[62,] -0.053477 0.12362927
[63,] 1.216186 1.92439377
[64,] 1.228400 1.36914936
[65,] -0.255090 1.19329744
[66,] 0.278469 1.21546594
[67,] -0.726012 1.59728107
[68,] -0.262176 1.25626327
[69,] 0.388062 0.18699224
[70,] 0.168366 1.68771342
[71,] -0.843504 1.15409874
[72,] 1.472114 0.60725474
[73,] 0.460612 0.04601192
[74,] -0.219949 2.05131206
[75,] -0.511203 1.21037006
[76,] -0.213415 2.69709503
[77,] 0.184185 -0.36867358
[78,] 0.770269 1.43319950
[79,] 0.458535 0.71576367
[80,] 0.623504 1.46256542
[81,] 0.248203 0.46383478
[82,] 0.694867 0.66089391
[83,] 0.495109 1.59800318
[84,] 1.076995 1.16652682
[85,] -0.067153 0.10064094
[86,] -0.522513 1.86366835
[87,] 0.499464 1.55792788
[88,] -0.192584 1.23171690
[89,] 0.697957 0.97300954
[90,] 0.116189 1.75711991
[91,] 0.510271 0.91459484
[92,] 0.257098 2.08019716
[93,] -1.049030 0.59573428
[94,] -0.024138 1.18496890
[95,] -0.396075 1.32601035
[96,] 1.118370 0.26349801
[97,] 0.415211 0.15284872
[98,] 0.672271 1.11355337
[99,] -0.686461 -0.60146875
[100,] 0.255041 0.60248623
[101,] -0.509175 1.10115606
[102,] 0.073723 0.67762098
[103,] 0.069398 0.65042160
[104,] 0.901179 1.08368136
[105,] -0.454426 0.40846891
[106,] 0.611352 0.87195775
[107,] 0.737791 0.33461233
[108,] 1.107804 0.06091610
[109,] 0.250527 0.83901690
[110,] 0.027995 0.20262090
[111,] 1.036423 1.43796898
[112,] 1.670484 1.01306793
[113,] 0.501280 1.17464677
[114,] 1.051567 -0.30534268
[115,] 0.045769 0.19320342
[116,] 1.718209 0.97756699
[117,] -0.507441 1.04730834
[118,] 1.498977 0.76659834
[119,] -0.278000 0.91820468
[120,] 0.663890 0.96390100
[121,] 0.056593 0.58483318
[122,] 0.563674 0.08291377
[123,] 0.282031 1.68223825
[124,] 1.039306 0.38731832
[125,] 0.797646 1.03421009
[126,] 0.597720 1.51319197
[127,] -0.434169 -0.14028655
[128,] -0.122367 1.85115451
[129,] 0.691392 0.08116999
[130,] 0.813847 -0.49568281
[131,] -0.081642 0.33495549
[132,] -1.029453 1.67461549
[133,] -1.470619 0.22622932
[134,] 0.909684 1.01377446
[135,] 0.369749 -0.01611525
[136,] 0.227986 0.39687860
[137,] 0.094271 1.25120568
[138,] 0.374030 0.62801197
[139,] -0.292258 0.71973471
[140,] 0.356118 0.34174386
[141,] -0.045388 -0.32813845
[142,] 0.120340 -0.40748231
[143,] -0.209930 -1.70921354
[144,] 0.375289 0.86463501
[145,] -1.001958 -1.43709533
[146,] 0.879472 -1.04773770
[147,] -0.899774 -0.34994808
[148,] 0.427738 0.21186817
[149,] -0.873667 1.30198966
[150,] -0.432602 -0.08236602
[151,] -0.602496 -0.52813749
[152,] 0.170219 -1.00494878
[153,] -0.860275 -0.33999046
[154,] -0.598370 0.58596300
[155,] -0.932441 -0.58755119
[156,] 0.348784 -0.35825580
[157,] 1.191063 0.22687921
[158,] -1.739126 -0.42839581
[159,] -1.861081 0.16112444
[160,] 1.085453 -0.67854995
[161,] -0.376599 -0.40376530
[162,] 0.237159 -1.14222708
[163,] -0.067414 -0.30592300
[164,] 0.138100 0.20613610
[165,] -0.170570 0.09720930
[166,] 1.060334 0.19462659
[167,] 1.639632 0.41323479
[168,] -1.085246 0.11471407
[169,] -1.692997 -0.34792432
[170,] -0.910330 -0.73258217
[171,] 0.209565 0.63680162
[172,] -1.594326 -0.87907265
[173,] 0.097138 -0.49929667
[174,] 0.831765 -0.39578641
[175,] 0.714470 -1.04561336
[176,] 0.857676 -0.60683349
[177,] -0.685405 -0.12762557
[178,] 0.140753 -1.12075234
[179,] 0.180704 -0.59687321
[180,] -0.247614 -0.66035849
[181,] -0.571367 -0.87522086
[182,] -0.646647 -1.05441426
[183,] -0.697020 -0.84340540
[184,] 0.860483 -0.45902218
[185,] -0.636883 -0.20998700
[186,] -1.695614 0.41709246
[187,] -1.243256 0.01386020
[188,] -2.266673 2.03453820
[189,] -0.900358 0.08570279
[190,] -1.713061 0.50534083
[191,] 0.774440 -0.20078295
[192,] 0.260912 -1.65576544
[193,] -0.773707 0.75809610
[194,] -1.346905 -1.32895991
[195,] -0.309728 0.10798535
[196,] -0.293973 -0.84589375
[197,] 1.257425 -0.85184508
[198,] 0.715550 -1.27217876
[199,] 1.145580 -1.39382877
[200,] -0.219324 0.12042464
[201,] -1.293186 -0.32877861
[202,] -1.248369 -0.61850132
[203,] -2.146965 -0.04332147
[204,] -1.786106 -0.64763999
[205,] -0.216158 -1.35981640
[206,] -1.469377 -0.63914174
[207,] -0.182508 -0.56020301
[208,] -0.902961 0.47770919
[209,] 0.534464 -1.32181694
[210,] 1.104082 -0.73801576
[211,] 0.384903 0.14703311
[212,] -0.574393 0.59055548
[213,] 0.182202 -1.61682829
[214,] -2.047245 -0.18204094
[215,] -0.575170 0.66918192
[216,] -1.948341 -0.36617986
[217,] -0.659385 -0.53629117
[218,] -0.802993 0.01574483
[219,] -0.010794 -0.50721745
[220,] -1.327725 -0.45980505
[221,] -1.484296 -0.28895799
[222,] 0.331346 -1.00394728
[223,] -0.245535 -0.39040801
[224,] -0.373368 -0.03152886
[225,] -0.648875 -0.88038151
[226,] -0.039311 0.28418278
[227,] 0.508748 -1.41070983
[228,] 0.683548 0.34240535
[229,] -1.034817 1.04035528
[230,] -1.725604 0.93556090
[231,] -1.495505 0.23289906
[232,] -1.400887 -1.42455939
[233,] -1.898153 0.20572204
[234,] -1.583653 -0.57431802
[235,] 0.362973 -1.09535677
[236,] 0.707282 -1.78639255
[237,] -2.458948 0.63595773
[238,] 0.108915 -0.11566734
[239,] -2.253063 1.09196430
[240,] 0.734950 -1.12832757
[241,] -0.061706 -0.03941051
[242,] 0.519195 0.30656931
[243,] -0.521353 -1.95977526
[244,] 0.968904 -1.39319911
[245,] 0.056572 -1.77563445
[246,] 0.309240 0.91965194
[247,] 0.989202 -0.97504308
[248,] -0.956638 -1.71359285
[249,] -1.005738 0.18759948
[250,] -0.439819 0.09709886
[251,] -0.013500 -0.16257980
[252,] -0.569215 0.13496550
[253,] -0.982862 -0.99211860
[254,] 0.475604 -1.00063798
[255,] -1.517698 1.22348317
[256,] -1.627989 1.56638032
[257,] -0.274709 0.44625451
[258,] 0.753946 -0.25432219
[259,] -0.020163 0.31825560
[260,] -1.761360 -0.02922266
[261,] 0.476529 0.30846794
[262,] -0.865850 -1.68450010
[263,] -0.635457 -1.94009808
[264,] 1.249436 0.52708393
[265,] -1.321462 0.10864936
[266,] 2.137853 0.25901417
[267,] 1.318664 -0.51788926
[268,] -0.851542 -0.38101198
[269,] 0.761228 -1.63691793
[270,] 1.384838 -0.09380025
[271,] -0.573320 0.60293675
[272,] -0.300238 -0.96338211
[273,] 0.069804 1.42368160
[274,] 0.029935 -2.07742556
[275,] -0.958455 -0.85559094
[276,] -1.854913 0.37307945
[277,] -0.888396 0.54264990
[278,] -0.169691 0.37664118
[279,] -0.355317 -1.05860702
[280,] -0.866386 -0.34506988
[281,] -0.083585 0.10629988
[282,] -1.315537 0.60523449
[283,] 0.732696 -0.27911458
[284,] -0.410814 0.18040796
[285,] 2.330914 0.83807019
[286,] -0.150234 0.22297857
[287,] 0.551640 -1.77484463
[288,] -1.214710 0.29543609
[289,] -0.280956 0.43000666
[290,] -2.046096 -0.28842350
[291,] -0.950603 0.22337957
[292,] -0.778304 0.10809914
[293,] 1.459870 -1.18617833
[294,] -0.047990 -0.66807175
[295,] 0.282527 -1.97308189
[296,] 0.073381 -0.88994208
[297,] 0.654287 0.78729051
[298,] -1.168282 0.29901954
[299,] -0.730808 0.04046849
[300,] 0.027163 -0.08840952
[301,] -0.375357 -0.79093303
[302,] -0.191349 -0.61181629
[303,] -0.833395 -2.00312081
[304,] 0.602721 -1.86788058
[305,] 0.493268 -0.00214558
[306,] -0.478132 -0.01142344
[307,] 0.233150 0.51357174
[308,] -1.101527 -1.02866720
[309,] 0.065334 -0.44493483
[310,] -0.809150 -1.97994182
[311,] 0.614728 0.26788512
[312,] 0.592537 -0.69421011
[313,] 0.076886 -0.42277584
[314,] 1.757140 0.52420293
[315,] -1.564969 -0.73518248
[316,] 0.067014 0.14955847
[317,] 1.444762 0.31179003
[318,] -1.019507 0.15575839
[319,] -0.337473 0.26996950
[320,] 0.311005 -0.51321665
[321,] -0.220507 -0.76824062
[322,] 0.536988 -0.46938780
[323,] -0.237889 0.78164475
[324,] -0.207273 0.36780159
[325,] 0.756007 -0.55950707
[326,] -0.190863 -0.10072941
[327,] -0.375481 -1.02411441
[328,] -0.983761 -1.61108465
[329,] -0.778019 0.66100230
[330,] -0.706428 -0.28502863
[331,] -1.448931 0.13475680
[332,] -0.787574 -1.57567835
[333,] -0.315685 -0.91856106
[334,] -1.069851 -1.14687845
[335,] -1.234473 0.16272644
[336,] -0.959441 0.24233616
[337,] -0.593153 0.51356382
[338,] -0.307245 -0.55998494
[339,] 0.533664 0.67440203
[340,] 1.041471 -1.05318406
[341,] 0.294934 -0.01409987
[342,] -0.201947 -0.28698476
[343,] 0.730202 -0.23967083
[344,] -0.187630 2.10364116
[345,] 0.667475 -0.15971514
[346,] 0.616798 -0.80830032
[347,] -1.420322 0.60806830
[348,] 0.357233 -1.05612572
[349,] -2.016624 0.89494802
[350,] -1.717190 0.88102250
[351,] 0.214570 -0.31209107
[352,] 1.056176 0.04598991
[353,] 0.603909 0.61350831
[354,] -0.839114 -1.34838639
[355,] -0.598201 -1.46209993
[356,] 0.406446 0.27383847
[357,] -2.360417 0.28874578
[358,] 2.636243 0.81276669
[359,] -0.111466 -2.13387671
[360,] -2.187302 -0.39749874
[361,] -0.316795 -0.78238712
[362,] -0.664811 -0.75210079
[363,] -1.578268 -0.46161211
[364,] 0.900810 0.09599621
[365,] -0.880948 0.05435912
[366,] 0.573675 -0.56733997
[367,] -2.074794 -0.10048482
[368,] 0.168328 -1.08915400
[369,] 0.995486 -0.91367741
[370,] -0.664617 -0.59925047
[371,] -0.063459 -0.41579001
[372,] -1.783148 0.84823657
[373,] 0.549198 -0.09925270
[374,] 0.514169 1.18044876
[375,] -0.143559 -0.05118817
[376,] -1.452757 -0.04028332
[377,] 0.691852 0.62072265
[378,] -0.260742 -1.38115362
[379,] -0.866973 -0.49348349
[380,] 0.961849 -0.83337993
[381,] 0.856223 -0.56339417
[382,] -0.641255 -0.62150072
[383,] -0.164225 0.04162546
[384,] 0.660356 -0.37396455
[385,] 0.054152 -0.66299647
[386,] -0.718497 -1.51821191
[387,] 0.612602 -0.47358494
[388,] -1.390251 -1.45007483
[389,] 1.281586 -0.87622291
[390,] -0.592680 -0.29543413
[391,] -0.100416 0.07065976
[392,] 0.663420 0.18075707
[393,] -0.476961 -0.20337835
[394,] -0.090994 -0.03992297
[395,] 0.485229 -0.37953171
[396,] -1.324747 2.43059563
[397,] -1.410285 -1.01328273
[398,] 0.681240 0.30478607
[399,] 0.327967 -2.40735511
[400,] -1.763102 0.24567615
[401,] -0.057767 -1.50292848
[402,] -0.126287 -1.48255586
[403,] 0.631160 -1.97789727
[404,] -0.518606 -1.50081146
[405,] 0.340772 -0.26968377
[406,] -0.554344 0.27885757
[407,] 0.852049 -1.12080668
[408,] -2.556805 -0.08798037
[409,] 1.350048 -0.54509094
[410,] -0.259028 0.13663573
[411,] 0.227063 -1.06593383
[412,] 0.828635 -1.38083038
[413,] 1.285063 0.23357007
[414,] 1.651707 -0.59224004
[415,] 0.149860 -0.23411276
[416,] -0.489028 -0.32461217
[417,] 0.616177 -0.35018733
[418,] 1.587823 -0.54175909
[419,] 1.853973 -0.85057365
[420,] -1.115853 0.28253872
[421,] -1.659530 -0.50492859
[422,] -1.454787 0.77320607
[423,] -0.976521 -1.15342842
[424,] -0.300510 -1.11453205
[425,] 0.357506 -1.43589778
[426,] 1.046011 0.08355744
[427,] 1.200574 0.58825436
[428,] 0.360912 0.87287731
[429,] -0.425645 -1.35561503
[430,] -0.267679 0.02353484
[431,] -0.225073 0.31396677
[432,] -0.269621 -1.11281032
[433,] 0.875989 0.29596684
[434,] 1.126965 -0.59642191
[435,] 0.337243 0.02986550
[436,] 0.279469 0.48887922
[437,] -0.379454 -1.52931037
[438,] 1.003397 -1.34907426
[439,] 0.378232 0.48036570
[440,] -0.865125 1.38587368
[441,] 1.267471 -0.19591954
[442,] 0.826196 -0.53606176
[443,] 0.331405 0.10929095
[444,] 0.349828 -1.55454949
[445,] 1.420410 0.77345105
[446,] 0.303208 -2.16334871
[447,] 0.196424 -0.75806971
[448,] 0.929895 1.09625219
[449,] 0.377857 -0.93534508
[450,] 1.031849 0.08869093
[451,] 0.281161 -0.09943849
[452,] 0.600270 -1.06908292
[453,] 0.140721 -1.12943734
[454,] 0.141439 0.39547124
[455,] -1.173027 -1.48596811
[456,] -0.605018 0.64686334
[457,] 1.915281 0.13403898
[458,] 0.767524 -0.59011728
[459,] 0.653934 -0.96672461
[460,] 0.328676 -1.63619017
[461,] 0.855987 -1.97921124
[462,] 0.128939 -0.44067896
[463,] -0.582227 -0.59363753
[464,] 1.698670 -0.37763874
[465,] -1.068507 -0.28893264
[466,] 0.460655 0.22596050
[467,] -2.057730 0.27515606
[468,] -1.954100 1.11785348
[469,] -2.321815 0.03398556
[470,] -2.532275 -0.46489667
[471,] -2.423381 -0.01986703
[472,] 0.325196 0.13133503
[473,] 2.163485 0.26849675
[474,] 1.171696 -0.80667307
[475,] 1.335534 0.37803264
[476,] 0.637532 -0.43780302
[477,] -0.200899 -0.25797138
[478,] 1.296095 -0.63289973
[479,] 2.210658 -0.27027435
[480,] -0.369376 -1.37608578
[481,] 1.341104 0.30722637
[482,] 0.936746 -0.26063507
[483,] -0.761808 -0.56465018
[484,] -0.456893 0.89286398
[485,] 0.048188 0.18361321
[486,] 0.773319 -0.30656925
[487,] 0.302376 1.38011075
[488,] 0.741839 -1.80025659
[489,] 0.478023 1.60457982
[490,] 1.231921 0.85875212
[491,] 1.308165 -0.97792068
[492,] 1.261488 0.98315657
[493,] -1.094685 -0.94855708
[494,] -1.477658 0.23126349
[495,] 0.119945 0.01551759
[496,] 1.180267 -0.98385876
[497,] -1.232664 -0.27888683
[498,] 0.091664 1.53980978
[499,] 0.334781 -1.74045379
[500,] 0.663878 1.12666615
[ reached getOption("max.print") -- omitted 41 rows ]
WLS1 WLS2
[1,] -3.03867 1.22767
[2,] -0.76396 2.00131
[3,] 0.38827 0.85751
[4,] -0.69172 0.84938
[5,] 0.53731 1.41694
[6,] -0.25462 1.23351
[7,] 1.26103 0.93640
[8,] 0.69883 1.91082
[9,] 0.30029 0.89701
[10,] -0.74221 0.76769# compute scale score
scores = sort(EFAwls2$scores,decreasing=TRUE)
round(scores,3) # round scores to three decimal places [1] 3.308 2.697 2.636 2.431 2.340 2.331 2.315 2.301 2.250 2.211 2.209 2.163 2.138 2.104 2.087 2.080
[17] 2.051 2.035 2.001 1.994 1.994 1.993 1.968 1.924 1.915 1.911 1.864 1.861 1.854 1.851 1.757 1.757
[33] 1.725 1.718 1.699 1.688 1.682 1.675 1.675 1.670 1.652 1.640 1.616 1.605 1.598 1.597 1.588 1.582
[49] 1.573 1.566 1.558 1.541 1.540 1.513 1.499 1.486 1.483 1.480 1.472 1.463 1.460 1.445 1.439 1.438
[65] 1.433 1.433 1.424 1.420 1.417 1.414 1.410 1.399 1.392 1.386 1.385 1.380 1.376 1.369 1.350 1.349
[81] 1.345 1.341 1.338 1.336 1.326 1.324 1.320 1.319 1.318 1.308 1.302 1.296 1.285 1.282 1.272 1.267
[97] 1.261 1.261 1.257 1.256 1.251 1.249 1.235 1.234 1.232 1.232 1.228 1.228 1.223 1.220 1.216 1.215
[113] 1.215 1.210 1.201 1.193 1.191 1.185 1.182 1.180 1.180 1.178 1.175 1.172 1.167 1.154 1.146 1.127
[129] 1.127 1.125 1.118 1.118 1.114 1.111 1.108 1.104 1.101 1.097 1.096 1.093 1.092 1.092 1.085 1.084
[145] 1.077 1.060 1.056 1.056 1.052 1.047 1.046 1.041 1.040 1.039 1.036 1.034 1.032 1.032 1.018 1.014
[161] 1.013 1.003 0.995 0.989 0.983 0.978 0.973 0.969 0.964 0.962 0.937 0.936 0.936 0.930 0.928 0.920
[177] 0.920 0.920 0.918 0.915 0.910 0.901 0.901 0.897 0.895 0.893 0.886 0.881 0.879 0.876 0.873 0.872
[193] 0.865 0.860 0.859 0.858 0.858 0.856 0.856 0.852 0.849 0.849 0.848 0.847 0.843 0.842 0.839 0.838
[209] 0.832 0.829 0.826 0.814 0.813 0.798 0.789 0.787 0.784 0.782 0.774 0.773 0.773 0.773 0.770 0.768
[225] 0.768 0.767 0.765 0.761 0.758 0.756 0.754 0.753 0.742 0.738 0.735 0.733 0.730 0.720 0.716 0.716
[241] 0.714 0.708 0.707 0.705 0.704 0.702 0.701 0.699 0.698 0.698 0.695 0.692 0.691 0.686 0.684 0.681
[257] 0.678 0.678 0.674 0.673 0.672 0.671 0.669 0.669 0.667 0.664 0.664 0.663 0.663 0.661 0.661 0.660
[273] 0.655 0.654 0.654 0.653 0.651 0.650 0.647 0.638 0.637 0.636 0.631 0.631 0.628 0.627 0.624 0.621
[289] 0.617 0.616 0.616 0.615 0.614 0.613 0.611 0.608 0.607 0.605 0.604 0.603 0.603 0.602 0.600 0.598
[305] 0.596 0.593 0.591 0.588 0.586 0.585 0.583 0.574 0.564 0.561 0.557 0.556 0.552 0.549 0.543 0.542
[321] 0.537 0.537 0.534 0.534 0.533 0.527 0.524 0.519 0.518 0.514 0.514 0.514 0.510 0.510 0.509 0.505
[337] 0.501 0.499 0.495 0.493 0.489 0.488 0.485 0.480 0.478 0.478 0.477 0.476 0.476 0.467 0.464 0.461
[353] 0.461 0.459 0.446 0.430 0.428 0.417 0.415 0.413 0.408 0.406 0.397 0.397 0.395 0.394 0.390 0.388
[369] 0.388 0.387 0.385 0.378 0.378 0.378 0.377 0.375 0.374 0.373 0.372 0.372 0.370 0.368 0.366 0.364
[385] 0.363 0.363 0.361 0.358 0.357 0.356 0.350 0.349 0.343 0.342 0.342 0.342 0.341 0.338 0.337 0.335
[401] 0.335 0.335 0.331 0.331 0.329 0.328 0.325 0.318 0.314 0.312 0.312 0.311 0.309 0.308 0.307 0.307
[417] 0.305 0.303 0.302 0.300 0.299 0.296 0.296 0.295 0.295 0.289 0.286 0.285 0.284 0.283 0.283 0.282
[433] 0.281 0.279 0.279 0.278 0.275 0.274 0.270 0.268 0.268 0.264 0.263 0.261 0.259 0.257 0.255 0.251
[449] 0.248 0.246 0.242 0.237 0.234 0.233 0.233 0.231 0.231 0.230 0.228 0.227 0.227 0.226 0.226 0.223
[465] 0.223 0.215 0.212 0.210 0.206 0.206 0.203 0.196 0.195 0.195 0.193 0.188 0.187 0.184 0.184 0.182
[481] 0.181 0.181 0.180 0.170 0.168 0.168 0.163 0.161 0.156 0.153 0.150 0.150 0.147 0.146 0.141 0.141
[497] 0.141 0.138 0.137 0.135 0.135 0.134 0.131 0.129 0.124 0.120 0.120 0.120 0.116 0.115 0.114 0.109
[513] 0.109 0.109 0.108 0.108 0.106 0.101 0.101 0.097 0.097 0.097 0.096 0.094 0.092 0.089 0.086 0.085
[529] 0.084 0.083 0.081 0.077 0.074 0.073 0.071 0.070 0.069 0.067 0.065 0.061 0.057 0.057 0.054 0.054
[545] 0.054 0.048 0.046 0.046 0.046 0.042 0.040 0.037 0.034 0.030 0.030 0.028 0.027 0.025 0.024 0.017
[561] 0.016 0.016 0.014 0.006 0.000 -0.002 -0.011 -0.011 -0.014 -0.014 -0.015 -0.016 -0.020 -0.020 -0.024 -0.029
[577] -0.031 -0.032 -0.039 -0.039 -0.040 -0.040 -0.043 -0.045 -0.048 -0.051 -0.053 -0.058 -0.062 -0.063 -0.067 -0.067
[593] -0.073 -0.076 -0.082 -0.082 -0.084 -0.088 -0.088 -0.091 -0.094 -0.099 -0.099 -0.100 -0.100 -0.101 -0.111 -0.116
[609] -0.116 -0.122 -0.126 -0.128 -0.136 -0.138 -0.140 -0.141 -0.144 -0.150 -0.156 -0.160 -0.163 -0.164 -0.166 -0.168
[625] -0.170 -0.171 -0.181 -0.182 -0.183 -0.188 -0.191 -0.191 -0.193 -0.196 -0.200 -0.201 -0.201 -0.202 -0.203 -0.207
[641] -0.210 -0.210 -0.213 -0.216 -0.219 -0.220 -0.221 -0.225 -0.227 -0.234 -0.238 -0.240 -0.245 -0.246 -0.248 -0.254
[657] -0.255 -0.255 -0.256 -0.258 -0.259 -0.261 -0.261 -0.262 -0.264 -0.268 -0.270 -0.270 -0.270 -0.270 -0.274 -0.275
[673] -0.278 -0.279 -0.279 -0.281 -0.285 -0.287 -0.288 -0.289 -0.289 -0.292 -0.294 -0.295 -0.300 -0.301 -0.305 -0.306
[689] -0.307 -0.307 -0.310 -0.312 -0.316 -0.317 -0.325 -0.326 -0.328 -0.329 -0.337 -0.340 -0.345 -0.348 -0.350 -0.350
[705] -0.355 -0.357 -0.358 -0.366 -0.369 -0.369 -0.371 -0.373 -0.374 -0.375 -0.375 -0.377 -0.378 -0.379 -0.380 -0.381
[721] -0.390 -0.394 -0.396 -0.396 -0.397 -0.404 -0.407 -0.411 -0.416 -0.423 -0.426 -0.428 -0.428 -0.433 -0.434 -0.438
[737] -0.440 -0.441 -0.445 -0.447 -0.454 -0.457 -0.459 -0.460 -0.460 -0.462 -0.464 -0.465 -0.469 -0.474 -0.477 -0.478
[753] -0.489 -0.493 -0.496 -0.499 -0.505 -0.507 -0.507 -0.509 -0.511 -0.513 -0.518 -0.519 -0.521 -0.523 -0.525 -0.527
[769] -0.528 -0.530 -0.536 -0.536 -0.542 -0.545 -0.548 -0.554 -0.560 -0.560 -0.560 -0.563 -0.565 -0.567 -0.569 -0.571
[785] -0.571 -0.573 -0.574 -0.574 -0.574 -0.575 -0.582 -0.588 -0.590 -0.592 -0.592 -0.593 -0.593 -0.594 -0.596 -0.597
[801] -0.598 -0.598 -0.599 -0.601 -0.602 -0.603 -0.605 -0.607 -0.607 -0.612 -0.617 -0.619 -0.622 -0.633 -0.635 -0.637
[817] -0.638 -0.639 -0.641 -0.645 -0.647 -0.648 -0.649 -0.659 -0.660 -0.660 -0.663 -0.665 -0.665 -0.668 -0.677 -0.679
[833] -0.685 -0.686 -0.692 -0.694 -0.697 -0.706 -0.706 -0.714 -0.718 -0.723 -0.726 -0.731 -0.733 -0.735 -0.738 -0.742
[849] -0.752 -0.758 -0.762 -0.764 -0.768 -0.774 -0.778 -0.778 -0.782 -0.782 -0.786 -0.788 -0.789 -0.791 -0.796 -0.803
[865] -0.807 -0.808 -0.809 -0.833 -0.833 -0.839 -0.843 -0.844 -0.846 -0.851 -0.852 -0.852 -0.856 -0.860 -0.865 -0.865
[881] -0.866 -0.866 -0.867 -0.867 -0.874 -0.875 -0.876 -0.879 -0.880 -0.881 -0.887 -0.888 -0.890 -0.900 -0.900 -0.903
[897] -0.910 -0.914 -0.919 -0.932 -0.935 -0.949 -0.951 -0.954 -0.957 -0.958 -0.959 -0.963 -0.967 -0.975 -0.977 -0.978
[913] -0.982 -0.982 -0.983 -0.984 -0.984 -0.992 -1.001 -1.002 -1.004 -1.004 -1.005 -1.006 -1.013 -1.020 -1.024 -1.029
[929] -1.029 -1.035 -1.046 -1.048 -1.049 -1.053 -1.054 -1.056 -1.059 -1.066 -1.069 -1.069 -1.070 -1.085 -1.089 -1.095
[945] -1.095 -1.102 -1.113 -1.115 -1.116 -1.121 -1.121 -1.128 -1.129 -1.142 -1.147 -1.153 -1.168 -1.173 -1.186 -1.215
[961] -1.233 -1.234 -1.243 -1.248 -1.269 -1.272 -1.293 -1.316 -1.321 -1.322 -1.325 -1.328 -1.329 -1.347 -1.348 -1.349
[977] -1.356 -1.360 -1.366 -1.376 -1.381 -1.381 -1.390 -1.393 -1.394 -1.401 -1.409 -1.410 -1.411 -1.420 -1.425 -1.436
[993] -1.437 -1.449 -1.450 -1.453 -1.455 -1.462 -1.469 -1.471
[ reached getOption("max.print") -- omitted 82 entries ]head(scores,5)[1] 3.3082 2.6971 2.6362 2.4306 2.3400tail(scores,5)[1] -2.4234 -2.4589 -2.5323 -2.5568 -3.0387# Use high and low scores in formula
# s = (100)/(3.3082 -(-3.0387)) = 100 / 6.3469 = 15.756
# m = (0) - (-3.0387 * 15.756) = 47.877
# compute scaled scores
scaled = 47.877 + (15.756 * EFAwls2$scores)
round(scaled,3) WLS1 WLS2
[1,] 0.000 67.220
[2,] 35.840 79.410
[3,] 53.995 61.388
[4,] 36.978 61.260
[5,] 56.343 70.202
[6,] 43.865 67.312
[7,] 67.746 62.631
[8,] 58.888 77.984
[9,] 52.608 62.010
[10,] 36.183 59.973
[11,] 71.289 61.217
[12,] 58.559 20.328
[13,] 54.023 58.871
[14,] 52.372 58.915
[15,] 41.675 42.251
[16,] 26.353 17.396
[17,] 61.256 47.875
[18,] 50.180 45.424
[19,] 43.559 65.375
[20,] 49.475 53.746
[21,] 49.666 68.670
[22,] 32.843 33.898
[23,] 58.164 36.624
[24,] 36.481 78.892
[25,] 56.276 55.233
[26,] 21.250 100.001
[27,] 37.719 39.531
[28,] 58.678 77.205
[29,] 51.508 35.492
[30,] 55.563 27.888
[31,] 45.704 40.627
[32,] 32.412 25.682
[33,] 61.167 38.545
[34,] 70.461 57.811
[35,] 44.019 22.301
[36,] 53.208 35.550
[37,] 53.639 58.203
[38,] 52.796 53.258
[39,] 48.269 69.553
[40,] 55.910 59.922
[41,] 67.336 53.277
[42,] 34.221 40.561
[43,] 46.057 39.574
[44,] 73.332 47.971
[45,] 38.158 45.235
[46,] 16.839 58.991
[47,] 60.230 53.738
[48,] 57.060 45.269
[49,] 39.241 35.450
[50,] 44.306 56.641
[51,] 79.300 58.943
[52,] 72.153 40.842
[53,] 71.244 54.092
[54,] 84.133 65.601
[55,] 70.089 59.040
[56,] 58.448 34.251
[57,] 46.687 39.605
[58,] 69.913 52.032
[59,] 67.922 45.730
[60,] 72.809 56.711
[61,] 21.709 65.154
[62,] 47.034 49.825
[63,] 67.039 78.198
[64,] 67.232 69.449
[65,] 43.858 66.679
[66,] 52.265 67.028
[67,] 36.438 73.044
[68,] 43.746 67.671
[69,] 53.991 50.823
[70,] 50.530 74.469
[71,] 34.587 66.061
[72,] 71.072 57.445
[73,] 55.134 48.602
[74,] 44.411 80.197
[75,] 39.822 66.948
[76,] 44.514 90.372
[77,] 50.779 42.068
[78,] 60.013 70.458
[79,] 55.102 59.155
[80,] 57.701 70.921
[81,] 51.788 55.185
[82,] 58.825 58.290
[83,] 55.678 73.055
[84,] 64.846 66.257
[85,] 46.819 49.463
[86,] 39.644 77.241
[87,] 55.747 72.424
[88,] 44.843 67.284
[89,] 58.874 63.208
[90,] 49.708 75.562
[91,] 55.917 62.287
[92,] 51.928 80.653
[93,] 31.348 57.263
[94,] 47.497 66.547
[95,] 41.636 68.770
[96,] 65.498 52.029
[97,] 54.419 50.285
[98,] 58.469 65.422
[99,] 37.061 38.400
[100,] 51.895 57.370
[101,] 39.854 65.227
[102,] 49.039 58.554
[103,] 48.970 58.125
[104,] 62.076 64.951
[105,] 40.717 54.313
[106,] 57.509 61.616
[107,] 59.502 53.149
[108,] 65.332 48.837
[109,] 51.824 61.097
[110,] 48.318 51.069
[111,] 64.207 70.534
[112,] 74.197 63.839
[113,] 55.775 66.385
[114,] 64.445 43.066
[115,] 48.598 50.921
[116,] 74.949 63.280
[117,] 39.882 64.378
[118,] 71.495 59.956
[119,] 43.497 62.344
[120,] 58.337 63.064
[121,] 48.769 57.092
[122,] 56.758 49.183
[123,] 52.321 74.382
[124,] 64.252 53.980
[125,] 60.445 64.172
[126,] 57.295 71.719
[127,] 41.036 45.667
[128,] 45.949 77.044
[129,] 58.771 49.156
[130,] 60.700 40.067
[131,] 46.591 53.155
[132,] 31.657 74.262
[133,] 24.706 51.441
[134,] 62.210 63.850
[135,] 53.703 47.623
[136,] 51.469 54.130
[137,] 49.362 67.591
[138,] 53.770 57.772
[139,] 43.272 59.217
[140,] 53.488 53.262
[141,] 47.162 42.707
[142,] 49.773 41.457
[143,] 44.569 20.947
[144,] 53.790 61.500
[145,] 32.090 25.234
[146,] 61.734 31.369
[147,] 33.700 42.363
[148,] 54.616 51.215
[149,] 34.111 68.391
[150,] 41.061 46.579
[151,] 38.384 39.556
[152,] 50.559 32.043
[153,] 34.323 42.520
[154,] 38.449 57.109
[155,] 33.185 38.620
[156,] 53.372 42.232
[157,] 66.643 51.452
[158,] 20.475 41.127
[159,] 18.554 50.416
[160,] 64.979 37.186
[161,] 41.943 41.515
[162,] 51.614 29.880
[163,] 46.815 43.057
[164,] 50.053 51.125
[165,] 45.189 49.409
[166,] 64.584 50.944
[167,] 73.711 54.388
[168,] 30.778 49.684
[169,] 21.202 42.395
[170,] 33.534 36.334
[171,] 51.179 57.910
[172,] 22.757 34.026
[173,] 49.408 40.010
[174,] 60.982 41.641
[175,] 59.134 31.402
[176,] 61.391 38.316
[177,] 37.078 45.866
[178,] 50.095 30.218
[179,] 50.724 38.473
[180,] 43.976 37.472
[181,] 38.875 34.087
[182,] 37.688 31.264
[183,] 36.895 34.588
[184,] 61.435 40.645
[185,] 37.842 44.568
[186,] 21.161 54.449
[187,] 28.288 48.095
[188,] 12.163 79.933
[189,] 33.691 49.227
[190,] 20.886 55.839
[191,] 60.079 44.713
[192,] 51.988 21.789
[193,] 35.686 59.822
[194,] 26.655 26.938
[195,] 42.997 49.578
[196,] 43.245 34.549
[197,] 67.689 34.455
[198,] 59.151 27.833
[199,] 65.927 25.916
[200,] 44.421 49.774
[201,] 27.502 42.697
[202,] 28.208 38.132
[203,] 14.049 47.194
[204,] 19.735 37.673
[205,] 44.471 26.452
[206,] 24.725 37.807
[207,] 45.001 39.050
[208,] 33.650 55.404
[209,] 56.298 27.050
[210,] 65.273 36.249
[211,] 53.942 50.194
[212,] 38.827 57.182
[213,] 50.748 22.402
[214,] 15.621 45.009
[215,] 38.815 58.421
[216,] 17.179 42.107
[217,] 37.488 39.427
[218,] 35.225 48.125
[219,] 47.707 39.885
[220,] 26.957 40.632
[221,] 24.490 43.324
[222,] 53.098 32.059
[223,] 44.008 41.726
[224,] 41.994 47.380
[225,] 37.653 34.006
[226,] 47.258 52.355
[227,] 55.893 25.650
[228,] 58.647 53.272
[229,] 31.572 64.269
[230,] 20.688 62.618
[231,] 24.314 51.547
[232,] 25.805 25.432
[233,] 17.970 51.118
[234,] 22.925 38.828
[235,] 53.596 30.619
[236,] 59.021 19.731
[237,] 9.134 57.897
[238,] 49.593 46.055
[239,] 12.378 65.082
[240,] 59.457 30.099
[241,] 46.905 47.256
[242,] 56.057 52.707
[243,] 39.663 16.999
[244,] 63.143 25.926
[245,] 48.768 19.900
[246,] 52.749 62.367
[247,] 63.463 32.514
[248,] 32.804 20.878
[249,] 32.031 50.833
[250,] 40.947 49.407
[251,] 47.664 45.315
[252,] 38.908 50.004
[253,] 32.391 32.245
[254,] 55.371 32.111
[255,] 23.964 67.154
[256,] 22.226 72.557
[257,] 43.549 54.908
[258,] 59.756 43.870
[259,] 47.559 52.891
[260,] 20.125 47.417
[261,] 55.385 52.737
[262,] 34.235 21.336
[263,] 37.865 17.309
[264,] 67.563 56.182
[265,] 27.056 49.589
[266,] 81.561 51.958
[267,] 68.654 39.717
[268,] 34.460 41.874
[269,] 59.871 22.086
[270,] 69.697 46.399
[271,] 38.844 57.377
[272,] 43.146 32.698
[273,] 48.977 70.309
[274,] 48.349 15.145
[275,] 32.776 34.396
[276,] 18.651 53.755
[277,] 33.879 56.427
[278,] 45.203 53.811
[279,] 42.279 31.198
[280,] 34.226 42.440
[281,] 46.560 49.552
[282,] 27.149 57.413
[283,] 59.421 43.479
[284,] 41.404 50.720
[285,] 84.603 61.082
[286,] 45.510 51.390
[287,] 56.569 19.913
[288,] 28.738 52.532
[289,] 43.450 54.652
[290,] 15.639 43.333
[291,] 32.899 51.397
[292,] 35.614 49.580
[293,] 70.879 29.188
[294,] 47.121 37.351
[295,] 52.328 16.789
[296,] 49.033 33.855
[297,] 58.186 60.282
[298,] 29.470 52.588
[299,] 36.362 48.515
[300,] 48.305 46.484
[301,] 41.963 35.415
[302,] 44.862 38.237
[303,] 34.746 16.316
[304,] 57.373 18.447
[305,] 55.649 47.843
[306,] 40.344 47.697
[307,] 51.551 55.969
[308,] 30.521 31.669
[309,] 48.906 40.867
[310,] 35.128 16.681
[311,] 57.563 52.098
[312,] 57.213 36.939
[313,] 49.088 41.216
[314,] 75.562 56.136
[315,] 23.219 36.293
[316,] 48.933 50.233
[317,] 70.641 52.790
[318,] 31.814 50.331
[319,] 42.560 52.131
[320,] 52.777 39.791
[321,] 44.403 35.773
[322,] 56.338 40.481
[323,] 44.129 60.193
[324,] 44.611 53.672
[325,] 59.789 39.061
[326,] 44.870 46.290
[327,] 41.961 31.741
[328,] 32.377 22.493
[329,] 35.619 58.292
[330,] 36.747 43.386
[331,] 25.048 50.000
[332,] 35.468 23.051
[333,] 42.903 33.404
[334,] 31.020 29.807
[335,] 28.427 50.441
[336,] 32.760 51.695
[337,] 38.531 55.969
[338,] 43.036 39.054
[339,] 56.285 58.503
[340,] 64.286 31.283
[341,] 52.524 47.655
[342,] 44.695 43.355
[343,] 59.382 44.101
[344,] 44.921 81.022
[345,] 58.394 45.361
[346,] 57.595 35.141
[347,] 25.498 57.458
[348,] 53.506 31.237
[349,] 16.103 61.978
[350,] 20.821 61.758
[351,] 51.258 42.960
[352,] 64.518 48.602
[353,] 57.392 57.543
[354,] 34.656 26.632
[355,] 38.452 24.840
[356,] 54.281 52.192
[357,] 10.686 52.426
[358,] 89.414 60.683
[359,] 46.121 14.256
[360,] 13.414 41.614
[361,] 42.886 35.550
[362,] 37.402 36.027
[363,] 23.010 40.604
[364,] 62.070 49.390
[365,] 33.997 48.733
[366,] 56.916 38.938
[367,] 15.187 46.294
[368,] 50.529 30.716
[369,] 63.562 33.481
[370,] 37.405 38.435
[371,] 46.877 41.326
[372,] 19.782 61.242
[373,] 56.530 46.313
[374,] 55.978 66.476
[375,] 45.615 47.070
[376,] 24.987 47.242
[377,] 58.778 57.657
[378,] 43.769 26.116
[379,] 34.217 40.102
[380,] 63.032 34.746
[381,] 61.368 39.000
[382,] 37.773 38.085
[383,] 45.289 48.533
[384,] 58.282 41.985
[385,] 48.730 37.431
[386,] 36.556 23.956
[387,] 57.529 40.415
[388,] 25.972 25.030
[389,] 68.070 34.071
[390,] 38.539 43.222
[391,] 46.295 48.990
[392,] 58.330 50.725
[393,] 40.362 44.673
[394,] 46.443 47.248
[395,] 55.522 41.897
[396,] 27.004 86.173
[397,] 25.657 31.912
[398,] 58.611 52.679
[399,] 53.044 9.947
[400,] 20.098 51.748
[401,] 46.967 24.197
[402,] 45.887 24.518
[403,] 57.822 16.713
[404,] 39.706 24.230
[405,] 53.246 43.628
[406,] 39.143 52.271
[407,] 61.302 30.218
[408,] 7.592 46.491
[409,] 69.148 39.289
[410,] 43.796 50.030
[411,] 51.455 31.082
[412,] 60.933 26.121
[413,] 68.124 51.557
[414,] 73.901 38.546
[415,] 50.238 44.188
[416,] 40.172 42.762
[417,] 57.585 42.359
[418,] 72.895 39.341
[419,] 77.088 34.475
[420,] 30.296 52.329
[421,] 21.729 39.921
[422,] 24.955 60.060
[423,] 32.491 29.704
[424,] 43.142 30.316
[425,] 53.510 25.253
[426,] 64.358 49.194
[427,] 66.793 57.146
[428,] 53.564 61.630
[429,] 41.171 26.518
[430,] 43.659 48.248
[431,] 44.331 52.824
[432,] 43.629 30.344
[433,] 61.679 52.540
[434,] 65.633 38.480
[435,] 53.191 48.348
[436,] 52.280 55.580
[437,] 41.898 23.781
[438,] 63.687 26.621
[439,] 53.836 55.446
[440,] 34.246 69.713
[441,] 67.847 44.790
[442,] 60.895 39.431
[443,] 53.099 49.599
[444,] 53.389 23.384
[445,] 70.257 60.063
[446,] 52.654 13.791
[447,] 50.972 35.933
[448,] 62.528 65.150
[449,] 53.831 33.140
[450,] 64.135 49.274
[451,] 52.307 46.310
[452,] 57.335 31.033
[453,] 50.094 30.082
[454,] 50.106 54.108
[455,] 29.395 24.464
[456,] 38.344 58.069
[457,] 78.054 49.989
[458,] 59.970 38.579
[459,] 58.180 32.645
[460,] 53.056 22.097
[461,] 61.364 16.693
[462,] 49.909 40.934
[463,] 38.703 38.524
[464,] 74.641 41.927
[465,] 31.042 43.325
[466,] 55.135 51.437
[467,] 15.455 52.212
[468,] 17.088 65.490
[469,] 11.294 48.412
[470,] 7.978 40.552
[471,] 9.694 47.564
[472,] 53.001 49.946
[473,] 81.965 52.107
[474,] 66.338 35.167
[475,] 68.920 53.833
[476,] 57.922 40.979
[477,] 44.712 43.812
[478,] 68.298 37.905
[479,] 82.708 43.619
[480,] 42.057 26.195
[481,] 69.007 52.718
[482,] 62.636 43.770
[483,] 35.874 38.980
[484,] 40.678 61.945
[485,] 48.636 50.770
[486,] 60.061 43.047
[487,] 52.641 69.622
[488,] 59.565 19.512
[489,] 55.409 73.159
[490,] 67.287 61.407
[491,] 68.488 32.469
[492,] 67.753 63.368
[493,] 30.629 32.932
[494,] 24.595 51.521
[495,] 49.767 48.121
[496,] 66.473 32.375
[497,] 28.455 43.483
[498,] 49.321 72.138
[499,] 53.152 20.454
[500,] 58.337 65.629
[ reached getOption("max.print") -- omitted 41 rows ]# Graph facor scores and scaled scores
hist(EFAwls2$scores)
hist(scaled)
# Plot factor scores
par(mfrow=c(1,2))
fa.diagram(EFAwls2)
plot(EFAwls2)
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