2.5 Output CfA Empati
DA NI=5 NO=200 MA=KM LA
item1 item2 item3 item4 item5 KM SY FI= empati.cor
MO NX=5 NK=1 PH=ST LX=FR TD=SY,FI LK
Empati FR LX 1 - LX 5
FR TD 1 1 TD 2 2 TD 3 3 TD 4 4 TD 5 5 TD 4 2 TD 3 1 PD
OU TV MI SS DA NI=5 NO=200 MA=KM
Goodness of Fit Statistics Degrees of Freedom = 3
Minimum Fit Function Chi-Square = 1.28 P = 0.73 Normal Theory Weighted Least Squares Chi-Square = 1.27 P = 0.74
Estimated Non-centrality Parameter NCP = 0.0 90 Percent Confidence Interval for NCP = 0.0 ; 4.26
Minimum Fit Function Value = 0.0064 Population Discrepancy Function Value F0 = 0.0
90 Percent Confidence Interval for F0 = 0.0 ; 0.021 Root Mean Square Error of Approximation RMSEA = 0.0
90 Percent Confidence Interval for RMSEA = 0.0 ; 0.085 P-Value for Test of Close Fit RMSEA 0.05 = 0.85
Expected Cross-Validation Index ECVI = 0.14 90 Percent Confidence Interval for ECVI = 0.14 ; 0.16
ECVI for Saturated Model = 0.15 ECVI for Independence Model = 2.29
Chi-Square for Independence Model with 10 Degrees of Freedom = 445.15 Independence AIC = 455.15
Model AIC = 25.27 Saturated AIC = 30.00
Independence CAIC = 476.64 Model CAIC = 76.85
Saturated CAIC = 94.47 Normed Fit Index NFI = 1.00
Non-Normed Fit Index NNFI = 1.01 Parsimony Normed Fit Index PNFI = 0.30
Comparative Fit Index CFI = 1.00 Incremental Fit Index IFI = 1.00
Relative Fit Index RFI = 0.99
Critical N CN = 1768.09 Root Mean Square Residual RMR = 0.011
Standardized RMR = 0.011 Goodness of Fit Index GFI = 1.00
Adjusted Goodness of Fit Index AGFI = 0.99 Parsimony Goodness of Fit Index PGFI = 0.20
2.5.1. Diagram Path Empati
2.6 Output CFA Interpersonal Relationship
DA NI=4 NO=200 MA=KM LA
item1 item2 item3 item4 KM SY FI= ir.cor
MO NX=4 NK=1 PH=ST LX=FR TD=SY,FI LK
IR FR LX 1 - LX 4
FR TD 1 1 TD 2 2 TD 3 3 TD 4 4 TD 4 3 PD
OU TV MI SS Goodness of Fit Statistics
Degrees of Freedom = 1 Minimum Fit Function Chi-Square = 2.03 P = 0.15
Normal Theory Weighted Least Squares Chi-Square = 2.02 P = 0.16 Estimated Non-centrality Parameter NCP = 1.02
90 Percent Confidence Interval for NCP = 0.0 ; 9.40 Minimum Fit Function Value = 0.010
Population Discrepancy Function Value F0 = 0.0051
90 Percent Confidence Interval for F0 = 0.0 ; 0.047 Root Mean Square Error of Approximation RMSEA = 0.072
90 Percent Confidence Interval for RMSEA = 0.0 ; 0.22 P-Value for Test of Close Fit RMSEA 0.05 = 0.25
Expected Cross-Validation Index ECVI = 0.10 90 Percent Confidence Interval for ECVI = 0.095 ; 0.14
ECVI for Saturated Model = 0.10 ECVI for Independence Model = 1.34
Chi-Square for Independence Model with 6 Degrees of Freedom = 257.69 Independence AIC = 265.69
Model AIC = 20.02 Saturated AIC = 20.00
Independence CAIC = 282.89 Model CAIC = 58.71
Saturated CAIC = 62.98 Normed Fit Index NFI = 0.99
Non-Normed Fit Index NNFI = 0.98 Parsimony Normed Fit Index PNFI = 0.17
Comparative Fit Index CFI = 1.00 Incremental Fit Index IFI = 1.00
Relative Fit Index RFI = 0.95 Critical N CN = 651.13
Root Mean Square Residual RMR = 0.016 Standardized RMR = 0.016
Goodness of Fit Index GFI = 0.99 Adjusted Goodness of Fit Index AGFI = 0.95
Parsimony Goodness of Fit Index PGFI = 0.099 2.6.1 Diagram Path
Interpersonal Relationship
3. OUTPUT CFA SELF CONTROL
3.1 Output CfA Self Control dimensi Behaviour Control
DA NI=6 NO=200 MA=KM LA
item1 item2 item3 item4 item5 item6 KM SY FI= newbehav.cor
MO NX=6 NK=1 PH=ST LX=FR TD=SY,FI LK
behaviour FR LX 1 - LX 6
FR TD 1 1 TD 2 2 TD 3 3 TD 4 4 TD 5 5 TD 6 6 TD 4 1 TD 5 4 TD 2 1 TD 3 1 PD
OU TV MI SS DA NI=6 NO=200 MA=KM
Goodness of Fit Statistics Degrees of Freedom = 5
Minimum Fit Function Chi-Square = 9.63 P = 0.087 Normal Theory Weighted Least Squares Chi-Square = 9.07 P = 0.11
Estimated Non-centrality Parameter NCP = 4.07 90 Percent Confidence Interval for NCP = 0.0 ; 16.65
Minimum Fit Function Value = 0.048 Population Discrepancy Function Value F0 = 0.020
90 Percent Confidence Interval for F0 = 0.0 ; 0.084
Root Mean Square Error of Approximation RMSEA = 0.064 90 Percent Confidence Interval for RMSEA = 0.0 ; 0.13
P-Value for Test of Close Fit RMSEA 0.05 = 0.30 Expected Cross-Validation Index ECVI = 0.21
90 Percent Confidence Interval for ECVI = 0.19 ; 0.27 ECVI for Saturated Model = 0.21
ECVI for Independence Model = 1.38 Chi-Square for Independence Model with 15 Degrees of Freedom = 262.05
Independence AIC = 274.05 Model AIC = 41.07
Saturated AIC = 42.00 Independence CAIC = 299.84
Model CAIC = 109.85 Saturated CAIC = 132.26
Normed Fit Index NFI = 0.96 Non-Normed Fit Index NNFI = 0.94
Parsimony Normed Fit Index PNFI = 0.32 Comparative Fit Index CFI = 0.98
Incremental Fit Index IFI = 0.98 Relative Fit Index RFI = 0.89
Critical N CN = 312.90 Root Mean Square Residual RMR = 0.047
Standardized RMR = 0.047 Goodness of Fit Index GFI = 0.99
Adjusted Goodness of Fit Index AGFI = 0.94 Parsimony Goodness of Fit Index PGFI = 0.23
3.1.1 Diagram Path Behaviour Control
3.2 Output CfA Dimensi Cognitive Control
DA NI=6 NO=200 MA=KM
LA item1 item2 item3 item4 item5 item6
KM SY FI= cognitive.cor MO NX=6 NK=1 PH=ST LX=FR TD=SY,FI
LK cognitive
FR LX 1 - LX 6 FR TD 1 1 TD 2 2 TD 3 3 TD 4 4 TD 5 5 TD 6 6 TD 6 4 TD 2 1
PD OU TV MI SS
Goodness of Fit Statistics Degrees of Freedom = 7
Minimum Fit Function Chi-Square = 6.16 P = 0.52 Normal Theory Weighted Least Squares Chi-Square = 6.00 P = 0.54
Estimated Non-centrality Parameter NCP = 0.0 90 Percent Confidence Interval for NCP = 0.0 ; 8.76
Minimum Fit Function Value = 0.031 Population Discrepancy Function Value F0 = 0.0
90 Percent Confidence Interval for F0 = 0.0 ; 0.044 Root Mean Square Error of Approximation RMSEA = 0.0
90 Percent Confidence Interval for RMSEA = 0.0 ; 0.079 P-Value for Test of Close Fit RMSEA 0.05 = 0.80
Expected Cross-Validation Index ECVI = 0.18 90 Percent Confidence Interval for ECVI = 0.18 ; 0.22
ECVI for Saturated Model = 0.21 ECVI for Independence Model = 1.87
Chi-Square for Independence Model with 15 Degrees of Freedom = 360.59 Independence AIC = 372.59
Model AIC = 34.00 Saturated AIC = 42.00
Independence CAIC = 398.38 Model CAIC = 94.18
Saturated CAIC = 132.26 Normed Fit Index NFI = 0.98
Non-Normed Fit Index NNFI = 1.01 Parsimony Normed Fit Index PNFI = 0.46
Comparative Fit Index CFI = 1.00 Incremental Fit Index IFI = 1.00
Relative Fit Index RFI = 0.96 Critical N CN = 598.31
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