Results

SEM - Aspek

Chi Square Test Statistic (unscaled)
  df AIC BIC χ² p
Model 2.000 2750.650 2779.167 7.484 0.024
Parameter Estimates
      label est se z p CI (lower) CI (upper) std (lv) std (all) std (nox) group
Kuantitas =~ DayaJuangQutest 1.000 0.000   1.000 1.000 1.075 1.000 1.000
Kualitas =~ AtensiQutest 1.000 0.000   1.000 1.000 0.373 0.407 0.407
Kualitas =~ KetelitianQutest -0.259 0.118 -2.191 0.028 -0.492 -0.027 -0.097 -0.091 -0.091
Kualitas =~ PerformaKonsentrasiQutest 3.952 0.914 4.324 < .001 2.161 5.743 1.475 1.311 1.311
DayaJuangQutest ~~ DayaJuangQutest 0.000 0.000   0.000 0.000 0.000 0.000 0.000
AtensiQutest ~~ AtensiQutest 0.701 0.065 10.709 < .001 0.573 0.829 0.701 0.834 0.834
KetelitianQutest ~~ KetelitianQutest 1.131 0.099 11.473 < .001 0.938 1.324 1.131 0.992 0.992
PerformaKonsentrasiQutest ~~ PerformaKonsentrasiQutest -0.910 0.376 -2.422 0.015 -1.646 -0.174 -0.910 -0.719 -0.719
Kuantitas ~~ Kuantitas 1.155 0.101 11.424 < .001 0.957 1.353 1.000 1.000 1.000
Kualitas ~~ Kualitas 0.139 0.047 2.993 0.003 0.048 0.230 1.000 1.000 1.000
Kuantitas ~~ Kualitas 0.224 0.061 3.663 < .001 0.104 0.344 0.559 0.559 0.559
Model test baseline model
  Model
Minimum Function Test Statistic 0.014
χ² 7.484
Degrees of freedom 2.000
p 0.024
User model versus baseline model
  Model
Comparative Fit Index (CFI) 0.983
Tucker-Lewis Index (TLI) 0.948
Bentler-Bonett Non-normed Fit Index (NNFI) 0.948
Bentler-Bonett Normed Fit Index (NFI) 0.977
Parsimony Normed Fit Index (PNFI) 0.326
Bollen's Relative Fit Index (RFI) 0.931
Bollen's Incremental Fit Index (IFI) 0.983
Relative Noncentrality Index (RNI) 0.983
Loglikelihood and Information Criteria
  Model
Loglikelihood user model (H0) -1367.325
Loglikelihood unrestricted model (H1) -1363.583
Number of free parameters 8
Akaike (AIC) 2750.650
Bayesian (BIC) 2779.167
Sample-size adjusted Bayesian (BIC) 2753.803
Root Mean Square Error of Approximation
  Model
RMSEA 0.103
Upper 90% CI 0.185
Lower 90% CI 0.032
p-value RMSEA <= 0.05 0.096
Standardized Root Mean Square Residual
  Model
RMR 0.052
RMR (No Mean) 0.052
SRMR 0.052
Other Fit Indices
  Model
Hoelter Critical N (CN) alpha=0.05 209.937
Hoelter Critical N (CN) alpha=0.01 322.187
Goodness of Fit Index (GFI) 0.986
Parsimony Goodness of Fit Index (GFI) 0.930
McDonald Fit Index (MFI) 0.990

SEM - Model 1

Chi Square Test Statistic (unscaled)
  df AIC BIC χ² p
Model 1.000 9372.564 9390.387 9765.961 0.000
Parameter Estimates
      label est se z p CI (lower) CI (upper) std (lv) std (all) std (nox) group
Kuantitas =~ JumlahStimulusQutest 1.000 0.000   1.000 1.000 216.770 1.000 1.000
Kualitas =~ JumlahBenarQutest 1.000 0.000   1.000 1.000 0.224 0.001 0.001
Kualitas =~ TotalErrorQutest 0.032   0.007 3.744e -4 3.744e -4
JumlahStimulusQutest ~~ JumlahStimulusQutest 0.000 0.000   0.000 0.000 0.000 0.000 0.000
JumlahBenarQutest ~~ JumlahBenarQutest 45190.218   45190.218 1.000 1.000
TotalErrorQutest ~~ TotalErrorQutest 358.510   358.510 1.000 1.000
Kuantitas ~~ Kuantitas 46989.034   1.000 1.000 1.000
Kualitas ~~ Kualitas 0.050   1.000 1.000 1.000
Kuantitas ~~ Kualitas 0.000 0.000   0.000 0.000 0.000 0.000 0.000
Model test baseline model
  Model
Minimum Function Test Statistic 18.709
χ² 9765.961
Degrees of freedom 1.000
p < .001
User model versus baseline model
  Model
Comparative Fit Index (CFI) 0.000
Tucker-Lewis Index (TLI) -2.001
Bentler-Bonett Non-normed Fit Index (NNFI) -2.001
Bentler-Bonett Normed Fit Index (NFI) 3.794e -9
Parsimony Normed Fit Index (PNFI) 1.265e -9
Bollen's Relative Fit Index (RFI) 1.000
Bollen's Incremental Fit Index (IFI) 3.794e -9
Relative Noncentrality Index (RNI) -2.049e -4
Loglikelihood and Information Criteria
  Model
Loglikelihood user model (H0) -4681.282
Loglikelihood unrestricted model (H1) 201.699
Number of free parameters 5
Akaike (AIC) 9372.564
Bayesian (BIC) 9390.387
Sample-size adjusted Bayesian (BIC) 9374.535
Root Mean Square Error of Approximation
  Model
RMSEA 6.117
Upper 90% CI 6.219
Lower 90% CI 6.015
p-value RMSEA <= 0.05 < .001
Standardized Root Mean Square Residual
  Model
RMR 18750.318
RMR (No Mean) 18750.318
SRMR 0.427
Other Fit Indices
  Model
Hoelter Critical N (CN) alpha=0.05 1.103
Hoelter Critical N (CN) alpha=0.01 1.177
Goodness of Fit Index (GFI) 0.578
Parsimony Goodness of Fit Index (GFI) -1.530
McDonald Fit Index (MFI) 7.512e -9

SEM - Model 1z

Chi Square Test Statistic (unscaled)
  df AIC BIC χ² p
Model 1.000 1556.875 1574.698 3899.537 0.000
Parameter Estimates
      label est se z p CI (lower) CI (upper) std (lv) std (all) std (nox) group
Kuantitas =~ zStimulusQutest 1.000 0.000   1.000 1.000 0.754 1.000 1.000
Kualitas =~ zBenarQutest 1.000 0.000   1.000 1.000 0.495 0.673 0.673
Kualitas =~ zError_Qutest 0.270   0.134 0.266 0.266
zStimulusQutest ~~ zStimulusQutest 0.000 0.000   0.000 0.000 0.000 0.000 0.000
zBenarQutest ~~ zBenarQutest 0.297   0.297 0.548 0.548
zError_Qutest ~~ zError_Qutest 0.235   0.235 0.929 0.929
Kuantitas ~~ Kuantitas 0.568   1.000 1.000 1.000
Kualitas ~~ Kualitas 0.245   1.000 1.000 1.000
Kuantitas ~~ Kualitas 0.000 0.000   0.000 0.000 0.000 0.000 0.000
Model test baseline model
  Model
Minimum Function Test Statistic 7.470
χ² 3899.537
Degrees of freedom 1.000
p < .001
User model versus baseline model
  Model
Comparative Fit Index (CFI) 0.002
Tucker-Lewis Index (TLI) -1.995
Bentler-Bonett Non-normed Fit Index (NNFI) -1.995
Bentler-Bonett Normed Fit Index (NFI) 0.002
Parsimony Normed Fit Index (PNFI) 7.244e -4
Bollen's Relative Fit Index (RFI) 1.000
Bollen's Incremental Fit Index (IFI) 0.002
Relative Noncentrality Index (RNI) 0.002
Loglikelihood and Information Criteria
  Model
Loglikelihood user model (H0) -773.438
Loglikelihood unrestricted model (H1) 1176.331
Number of free parameters 5
Akaike (AIC) 1556.875
Bayesian (BIC) 1574.698
Sample-size adjusted Bayesian (BIC) 1558.846
Root Mean Square Error of Approximation
  Model
RMSEA 3.865
Upper 90% CI 3.967
Lower 90% CI 3.764
p-value RMSEA <= 0.05 < .001
Standardized Root Mean Square Residual
  Model
RMR 0.229
RMR (No Mean) 0.229
SRMR 0.421
Other Fit Indices
  Model
Hoelter Critical N (CN) alpha=0.05 1.257
Hoelter Critical N (CN) alpha=0.01 1.444
Goodness of Fit Index (GFI) 0.600
Parsimony Goodness of Fit Index (GFI) -1.400
McDonald Fit Index (MFI) 5.708e -4

SEM - Model 2

Chi Square Test Statistic (unscaled)
  df AIC BIC χ² p
Model 1.000 7084.364 7091.493 912.906 0.000
Parameter Estimates
      label est se z p CI (lower) CI (upper) std (lv) std (all) std (nox) group
Kuantitas =~ JumlahStimulusQutest 1.000 0.000   1.000 1.000 216.770 1.000 1.000
Kualitas =~ BenarTerkoreksiError 1.000 0.000   1.000 1.000 210.020 1.000 1.000
JumlahStimulusQutest ~~ JumlahStimulusQutest 0.000 0.000   0.000 0.000 0.000 0.000 0.000
BenarTerkoreksiError ~~ BenarTerkoreksiError 0.000 0.000   0.000 0.000 0.000 0.000 0.000
Kuantitas ~~ Kuantitas 46989.034 4113.308 11.424 < .001 38927.098 55050.970 1.000 1.000 1.000
Kualitas ~~ Kualitas 44108.526 3861.156 11.424 < .001 36540.801 51676.252 1.000 1.000 1.000
Kuantitas ~~ Kualitas 0.000 0.000   0.000 0.000 0.000 0.000 0.000
Model test baseline model
  Model
Minimum Function Test Statistic 1.749
χ² 912.906
Degrees of freedom 1.000
p < .001
User model versus baseline model
  Model
Comparative Fit Index (CFI) 0.000
Tucker-Lewis Index (TLI) 0.000
Bentler-Bonett Non-normed Fit Index (NNFI) 0.000
Bentler-Bonett Normed Fit Index (NFI) 0.000
Parsimony Normed Fit Index (PNFI) 0.000
Bollen's Relative Fit Index (RFI) 0.000
Bollen's Incremental Fit Index (IFI) 0.000
Relative Noncentrality Index (RNI) 0.000
Loglikelihood and Information Criteria
  Model
Loglikelihood user model (H0) -3540.182
Loglikelihood unrestricted model (H1) -3083.729
Number of free parameters 2
Akaike (AIC) 7084.364
Bayesian (BIC) 7091.493
Sample-size adjusted Bayesian (BIC) 7085.152
Root Mean Square Error of Approximation
  Model
RMSEA 1.869
Upper 90% CI 1.972
Lower 90% CI 1.768
p-value RMSEA <= 0.05 < .001
Standardized Root Mean Square Residual
  Model
RMR 25883.629
RMR (No Mean) 25883.629
SRMR 0.569
Other Fit Indices
  Model
Hoelter Critical N (CN) alpha=0.05 2.098
Hoelter Critical N (CN) alpha=0.01 2.897
Goodness of Fit Index (GFI) 0.508
Parsimony Goodness of Fit Index (GFI) -0.477
McDonald Fit Index (MFI) 0.174

Correlation

Pearson's Correlations
      Pearson's r p
Jumlah Kesalahan - Jumlah Koreksi -0.028 0.673
Jumlah Kesalahan - Jumlah Pauli -0.144 0.990
Jumlah Kesalahan - Jumlah Benar Pauli -0.190 0.999
Jumlah Kesalahan - JumlahStimulusQutest -0.067 0.858
Jumlah Kesalahan - TotalErrorQutest 0.005 0.466
Jumlah Kesalahan - BenarTerkoreksiError -0.070 0.869
Jumlah Kesalahan - JumlahBenarQutest -0.068 0.865
Jumlah Koreksi - Jumlah Pauli -0.091 0.929
Jumlah Koreksi - Jumlah Benar Pauli -0.089 0.925
Jumlah Koreksi - JumlahStimulusQutest 0.057 0.178
Jumlah Koreksi - TotalErrorQutest 0.019 0.378
Jumlah Koreksi - BenarTerkoreksiError 0.056 0.185
Jumlah Koreksi - JumlahBenarQutest 0.057 0.181
Jumlah Pauli - Jumlah Benar Pauli 0.999 < .001
Jumlah Pauli - JumlahStimulusQutest 0.295 < .001
Jumlah Pauli - TotalErrorQutest -0.068 0.863
Jumlah Pauli - BenarTerkoreksiError 0.317 < .001
Jumlah Pauli - JumlahBenarQutest 0.307 < .001
Jumlah Benar Pauli - JumlahStimulusQutest 0.296 < .001
Jumlah Benar Pauli - TotalErrorQutest -0.068 0.862
Jumlah Benar Pauli - BenarTerkoreksiError 0.317 < .001
Jumlah Benar Pauli - JumlahBenarQutest 0.308 < .001
JumlahStimulusQutest - TotalErrorQutest 0.263 < .001
JumlahStimulusQutest - BenarTerkoreksiError 0.985 < .001
JumlahStimulusQutest - JumlahBenarQutest 0.996 < .001
TotalErrorQutest - BenarTerkoreksiError 0.091 0.071
TotalErrorQutest - JumlahBenarQutest 0.179 0.002
BenarTerkoreksiError - JumlahBenarQutest 0.996 < .001
Note.  All tests one-tailed, for positive correlation

SEM - Model 2 (Pawlowski, 2020)

Chi Square Test Statistic (unscaled)
  df AIC BIC χ² p
Model 1.000 5828.314 5835.443 18.678 1.547e -5
Parameter Estimates
      label est se z p CI (lower) CI (upper) std (lv) std (all) std (nox) group
Kuantitas =~ JumlahStimulusQutest 1.000 0.000   1.000 1.000 216.770 1.000 1.000
Kualitas =~ TotalErrorQutest 1.000 0.000   1.000 1.000 18.934 1.000 1.000
JumlahStimulusQutest ~~ JumlahStimulusQutest 0.000 0.000   0.000 0.000 0.000 0.000 0.000
TotalErrorQutest ~~ TotalErrorQutest 0.000 0.000   0.000 0.000 0.000 0.000 0.000
Kuantitas ~~ Kuantitas 46989.034 4113.308 11.424 < .001 38927.098 55050.970 1.000 1.000 1.000
Kualitas ~~ Kualitas 358.510 31.383 11.424 < .001 297.000 420.019 1.000 1.000 1.000
Kuantitas ~~ Kualitas 0.000 0.000   0.000 0.000 0.000 0.000 0.000
Model test baseline model
  Model
Minimum Function Test Statistic 0.036
χ² 18.678
Degrees of freedom 1.000
p < .001
User model versus baseline model
  Model
Comparative Fit Index (CFI) 0.000
Tucker-Lewis Index (TLI) 0.000
Bentler-Bonett Non-normed Fit Index (NNFI) 0.000
Bentler-Bonett Normed Fit Index (NFI) 0.000
Parsimony Normed Fit Index (PNFI) 0.000
Bollen's Relative Fit Index (RFI) 0.000
Bollen's Incremental Fit Index (IFI) 0.000
Relative Noncentrality Index (RNI) 0.000
Loglikelihood and Information Criteria
  Model
Loglikelihood user model (H0) -2912.157
Loglikelihood unrestricted model (H1) -2902.818
Number of free parameters 2
Akaike (AIC) 5828.314
Bayesian (BIC) 5835.443
Sample-size adjusted Bayesian (BIC) 5829.102
Root Mean Square Error of Approximation
  Model
RMSEA 0.260
Upper 90% CI 0.369
Lower 90% CI 0.166
p-value RMSEA <= 0.05 < .001
Standardized Root Mean Square Residual
  Model
RMR 622.751
RMR (No Mean) 622.751
SRMR 0.152
Other Fit Indices
  Model
Hoelter Critical N (CN) alpha=0.05 54.678
Hoelter Critical N (CN) alpha=0.01 93.712
Goodness of Fit Index (GFI) 0.935
Parsimony Goodness of Fit Index (GFI) 0.806
McDonald Fit Index (MFI) 0.967