Results

Confirmatory Factor Analysis

Model fit

Chi-square test
Model Χ² df p
Baseline model 14382.814 1176  
Factor model 3197.358 1124 < .001

Additional fit measures

Fit indices
Index Value
Comparative Fit Index (CFI) 0.843
Tucker-Lewis Index (TLI) 0.836
Bentler-Bonett Non-normed Fit Index (NNFI) 0.836
Bentler-Bonett Normed Fit Index (NFI) 0.778
Parsimony Normed Fit Index (PNFI) 0.743
Bollen's Relative Fit Index (RFI) 0.767
Bollen's Incremental Fit Index (IFI) 0.844
Relative Noncentrality Index (RNI) 0.843
Information criteria
Information criteria are only available with ML-type estimators
  Value
Log-likelihood
Number of free parameters 101.000
Akaike (AIC)
Bayesian (BIC)
Sample-size adjusted Bayesian (SSABIC)
Other fit measures
Metric Value
Root mean square error of approximation (RMSEA) 0.065
RMSEA 90% CI lower bound 0.063
RMSEA 90% CI upper bound 0.068
RMSEA p-value 9.217×10-13
Standardized root mean square residual (SRMR) 0.089
Hoelter's critical N (α = .05) 164.306
Hoelter's critical N (α = .01) 168.938
Goodness of fit index (GFI) 0.873
McDonald fit index (MFI) 0.092
Expected cross validation index (ECVI) 7.833

Parameter estimates

Factor loadings
95% Confidence Interval
Factor Indicator Estimate Std. Error z-value p Lower Upper
Affective SME26 0.430 0.021 20.400 < .001 0.389 0.471
  SME32 0.289 0.017 16.840 < .001 0.256 0.323
  SME40 0.111 0.017 6.515 < .001 0.078 0.144
  SME1 0.104 0.011 9.285 < .001 0.082 0.125
  SME20 0.183 0.014 13.117 < .001 0.156 0.210
  SME35 0.278 0.016 17.576 < .001 0.247 0.309
  SME7 0.265 0.018 15.111 < .001 0.231 0.300
  SME15 0.218 0.018 12.100 < .001 0.182 0.253
  SME23 0.329 0.020 16.593 < .001 0.290 0.367
  SME11 0.172 0.013 13.309 < .001 0.147 0.197
Behavior SME2 0.227 0.013 17.955 < .001 0.202 0.252
  SME12 0.316 0.013 23.784 < .001 0.290 0.342
  SME45 0.432 0.015 28.585 < .001 0.402 0.461
  SME8 0.313 0.013 23.870 < .001 0.288 0.339
  SME10 0.260 0.012 22.252 < .001 0.237 0.283
  SME16 0.326 0.013 24.522 < .001 0.300 0.352
  SME24r 0.129 0.012 10.292 < .001 0.104 0.153
  SME46 0.041 0.012 3.262 0.001 0.016 0.065
  SME36 0.400 0.014 28.549 < .001 0.372 0.427
  SME4 0.216 0.014 15.195 < .001 0.188 0.244
  SME42 0.458 0.016 27.837 < .001 0.426 0.490
  SME34 0.539 0.017 32.551 < .001 0.506 0.571
  SME3 0.485 0.016 31.313 < .001 0.455 0.516
  SME39 0.489 0.016 29.918 < .001 0.457 0.521
  SME18 0.467 0.015 31.218 < .001 0.438 0.497
  SME31 0.519 0.016 32.207 < .001 0.487 0.550
  SME47 0.174 0.015 11.970 < .001 0.146 0.203
  SME37 0.363 0.017 21.809 < .001 0.331 0.396
  SME27 0.286 0.015 18.500 < .001 0.256 0.316
  SME17 0.178 0.012 14.371 < .001 0.153 0.202
  SME29 0.260 0.013 19.844 < .001 0.234 0.286
  SME13 0.323 0.014 23.099 < .001 0.296 0.351
  SME22r -0.015 0.014 -1.068 0.286 -0.042 0.012
  SME5 0.198 0.012 16.534 < .001 0.174 0.221
  SME14 0.264 0.015 17.962 < .001 0.235 0.293
  SME9r -0.040 0.011 -3.719 < .001 -0.060 -0.019
  SME25 0.220 0.015 14.948 < .001 0.192 0.249
  SME19r -0.027 0.013 -1.987 0.047 -0.053 -3.656×10-4
Cognitive SME30 0.495 0.016 31.041 < .001 0.464 0.526
  SME48 0.458 0.017 26.612 < .001 0.424 0.491
  SME44 0.097 0.015 6.600 < .001 0.069 0.126
  SME41 0.380 0.015 24.782 < .001 0.350 0.410
  SME28 0.418 0.015 27.130 < .001 0.388 0.449
  SME38 0.404 0.016 25.504 < .001 0.373 0.435
  SME21 0.421 0.016 25.810 < .001 0.389 0.453
  SME33 0.378 0.017 21.944 < .001 0.344 0.411
  SME6 0.200 0.014 14.387 < .001 0.172 0.227
  SME43 0.301 0.015 19.725 < .001 0.271 0.331
  SME49 0.141 0.014 10.154 < .001 0.114 0.168
Factor variances
95% Confidence Interval
Factor Estimate Std. Error z-value p Lower Upper
Affective 1.000 0.000   1.000 1.000
Behavior 1.000 0.000   1.000 1.000
Cognitive 1.000 0.000   1.000 1.000
Factor Covariances
95% Confidence Interval
      Estimate Std. Error z-value p Lower Upper
Affective ↔ Behavior 0.783 0.032 24.139 < .001 0.720 0.847
Affective ↔ Cognitive 0.739 0.039 18.932 < .001 0.663 0.816
Behavior ↔ Cognitive 0.920 0.022 40.920 < .001 0.876 0.964
Residual variances
95% Confidence Interval
Indicator Estimate Std. Error z-value p Lower Upper
SME26 0.401 0.041 9.678 < .001 0.320 0.482
SME32 0.386 0.040 9.605 < .001 0.307 0.464
SME40 0.571 0.049 11.658 < .001 0.475 0.667
SME1 0.262 0.019 13.528 < .001 0.224 0.300
SME20 0.295 0.027 11.051 < .001 0.243 0.347
SME35 0.383 0.032 11.858 < .001 0.320 0.447
SME7 0.444 0.036 12.172 < .001 0.373 0.516
SME15 0.509 0.041 12.424 < .001 0.428 0.589
SME23 0.482 0.042 11.429 < .001 0.399 0.564
SME11 0.255 0.028 9.214 < .001 0.200 0.309
SME2 0.383 0.030 12.664 < .001 0.324 0.442
SME12 0.330 0.031 10.708 < .001 0.270 0.391
SME45 0.414 0.039 10.625 < .001 0.338 0.490
SME8 0.295 0.037 7.983 < .001 0.222 0.367
SME10 0.283 0.029 9.714 < .001 0.226 0.340
SME16 0.319 0.033 9.560 < .001 0.253 0.384
SME24r 0.409 0.029 14.198 < .001 0.352 0.465
SME46 0.424 0.029 14.510 < .001 0.366 0.481
SME36 0.313 0.030 10.281 < .001 0.253 0.372
SME4 0.485 0.034 14.302 < .001 0.418 0.551
SME42 0.483 0.042 11.396 < .001 0.400 0.566
SME34 0.406 0.046 8.907 < .001 0.317 0.496
SME3 0.434 0.042 10.372 < .001 0.352 0.516
SME39 0.443 0.041 10.824 < .001 0.363 0.523
SME18 0.384 0.039 9.846 < .001 0.307 0.460
SME31 0.396 0.043 9.247 < .001 0.312 0.480
SME47 0.515 0.036 14.350 < .001 0.444 0.585
SME37 0.588 0.041 14.290 < .001 0.508 0.669
SME27 0.562 0.038 14.889 < .001 0.488 0.636
SME17 0.345 0.034 10.268 < .001 0.279 0.411
SME29 0.357 0.033 10.715 < .001 0.291 0.422
SME13 0.414 0.035 11.674 < .001 0.344 0.483
SME22r 0.528 0.037 14.120 < .001 0.455 0.601
SME5 0.317 0.032 10.013 < .001 0.255 0.379
SME14 0.483 0.036 13.348 < .001 0.412 0.554
SME9r 0.298 0.026 11.619 < .001 0.248 0.348
SME25 0.505 0.037 13.510 < .001 0.432 0.578
SME19r 0.505 0.031 16.387 < .001 0.444 0.565
SME30 0.251 0.036 7.062 < .001 0.182 0.321
SME48 0.456 0.042 10.865 < .001 0.373 0.538
SME44 0.520 0.035 14.835 < .001 0.452 0.589
SME41 0.326 0.039 8.353 < .001 0.250 0.403
SME28 0.273 0.038 7.222 < .001 0.199 0.347
SME38 0.404 0.039 10.494 < .001 0.329 0.480
SME21 0.409 0.038 10.837 < .001 0.335 0.483
SME33 0.563 0.044 12.675 < .001 0.476 0.650
SME6 0.427 0.030 14.087 < .001 0.368 0.487
SME43 0.417 0.036 11.603 < .001 0.346 0.487
SME49 0.442 0.032 13.929 < .001 0.380 0.504

Plots

Model plot

Confirmatory Factor Analysis

Model fit

Chi-square test
Model Χ² df p
Baseline model 5378.271 276  
Factor model 544.568 249 < .001

Additional fit measures

Fit indices
Index Value
Comparative Fit Index (CFI) 0.942
Tucker-Lewis Index (TLI) 0.936
Bentler-Bonett Non-normed Fit Index (NNFI) 0.936
Bentler-Bonett Normed Fit Index (NFI) 0.899
Parsimony Normed Fit Index (PNFI) 0.811
Bollen's Relative Fit Index (RFI) 0.888
Bollen's Incremental Fit Index (IFI) 0.942
Relative Noncentrality Index (RNI) 0.942
Information criteria
Information criteria are only available with ML-type estimators
  Value
Log-likelihood
Number of free parameters 51.000
Akaike (AIC)
Bayesian (BIC)
Sample-size adjusted Bayesian (SSABIC)
Other fit measures
Metric Value
Root mean square error of approximation (RMSEA) 0.052
RMSEA 90% CI lower bound 0.046
RMSEA 90% CI upper bound 0.058
RMSEA p-value 0.257
Standardized root mean square residual (SRMR) 0.075
Hoelter's critical N (α = .05) 229.575
Hoelter's critical N (α = .01) 243.145
Goodness of fit index (GFI) 0.949
McDonald fit index (MFI) 0.711
Expected cross validation index (ECVI) 1.490

Parameter estimates

Factor loadings
95% Confidence Interval
Factor Indicator Estimate Std. Error z-value p Lower Upper
Affective SME32 0.286 0.021 13.964 < .001 0.246 0.327
  SME7 0.264 0.021 12.560 < .001 0.223 0.305
  SME23 0.360 0.024 14.889 < .001 0.313 0.408
  SME26 0.474 0.026 18.435 < .001 0.423 0.524
  SME20 0.175 0.017 10.466 < .001 0.142 0.208
  SME35 0.291 0.019 15.362 < .001 0.254 0.328
  SME15 0.194 0.022 8.940 < .001 0.152 0.237
  SME11 0.145 0.016 9.337 < .001 0.115 0.176
Behavior SME45 0.457 0.020 23.118 < .001 0.418 0.496
  SME16 0.322 0.017 19.089 < .001 0.289 0.355
  SME36 0.391 0.018 21.499 < .001 0.356 0.427
  SME34 0.559 0.022 25.604 < .001 0.516 0.602
  SME18 0.464 0.020 23.714 < .001 0.426 0.503
  SME31 0.543 0.021 25.484 < .001 0.501 0.584
  SME13 0.294 0.018 16.662 < .001 0.259 0.328
  SME29 0.249 0.017 14.959 < .001 0.216 0.282
Cognitive SME30 0.516 0.019 26.465 < .001 0.477 0.554
  SME48 0.470 0.021 22.541 < .001 0.429 0.511
  SME41 0.393 0.019 21.066 < .001 0.356 0.429
  SME28 0.427 0.019 22.833 < .001 0.391 0.464
  SME38 0.409 0.019 21.204 < .001 0.371 0.447
  SME21 0.427 0.020 21.555 < .001 0.388 0.465
  SME33 0.370 0.021 17.570 < .001 0.329 0.411
  SME43 0.296 0.019 15.896 < .001 0.259 0.332
Factor variances
95% Confidence Interval
Factor Estimate Std. Error z-value p Lower Upper
Affective 1.000 0.000   1.000 1.000
Behavior 1.000 0.000   1.000 1.000
Cognitive 1.000 0.000   1.000 1.000
Factor Covariances
95% Confidence Interval
      Estimate Std. Error z-value p Lower Upper
Affective ↔ Behavior 0.739 0.040 18.556 < .001 0.661 0.817
Affective ↔ Cognitive 0.689 0.039 17.865 < .001 0.613 0.764
Behavior ↔ Cognitive 0.884 0.030 29.159 < .001 0.825 0.943
Residual variances
95% Confidence Interval
Indicator Estimate Std. Error z-value p Lower Upper
SME32 0.387 0.041 9.533 < .001 0.308 0.467
SME7 0.445 0.037 12.025 < .001 0.372 0.517
SME23 0.460 0.044 10.515 < .001 0.374 0.546
SME26 0.362 0.045 8.130 < .001 0.275 0.449
SME20 0.298 0.027 11.090 < .001 0.245 0.350
SME35 0.376 0.033 11.378 < .001 0.311 0.440
SME15 0.518 0.041 12.622 < .001 0.438 0.599
SME11 0.263 0.028 9.515 < .001 0.209 0.317
SME45 0.392 0.041 9.569 < .001 0.311 0.472
SME16 0.321 0.034 9.469 < .001 0.255 0.388
SME36 0.319 0.032 10.089 < .001 0.257 0.382
SME34 0.384 0.049 7.904 < .001 0.289 0.479
SME18 0.387 0.041 9.511 < .001 0.307 0.466
SME31 0.371 0.046 8.110 < .001 0.281 0.461
SME13 0.432 0.036 12.068 < .001 0.362 0.502
SME29 0.362 0.034 10.772 < .001 0.296 0.428
SME30 0.230 0.038 6.112 < .001 0.156 0.304
SME48 0.445 0.044 10.214 < .001 0.359 0.530
SME41 0.316 0.040 7.899 < .001 0.238 0.395
SME28 0.266 0.039 6.809 < .001 0.189 0.342
SME38 0.400 0.040 10.082 < .001 0.322 0.477
SME21 0.404 0.039 10.357 < .001 0.328 0.480
SME33 0.568 0.045 12.571 < .001 0.480 0.657
SME43 0.420 0.036 11.536 < .001 0.349 0.492

Plots

Model plot