Untuk mengurangi agresivitas maka disarankan kepada satpol pp:
1. Meningkatkan self control dalam pribadi masing-masing. Peningkatan self control
dapat dilatih dengan berbagai pelatihan yang ada, seperti dengan mengikuti
pelatihan peningkatan diri.
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Tanpa nama. 2010. Data and Statistics. who.int diunduh pada 20 Januari 2011.
Minimum Fit Function Chi-Square = 1222.44 (P = 0.0)
Normal Theory Weighted Least Squares Chi-Square = 1145.64 (P = 0.0)
Estimated Non-centrality Parameter (NCP) = 494.64
90 Percent Confidence Interval for NCP = (404.32 ; 592.81)
Minimum Fit Function Value = 7.32
Population Discrepancy Function Value (F0) = 2.96
90 Percent Confidence Interval for F0 = (2.42 ; 3.55)
Root Mean Square Error of Approximation (RMSEA) = 0.067
90 Percent Confidence Interval for RMSEA = (0.061 ; 0.074)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00
Expected Cross-Validation Index (ECVI) = 8.88
90 Percent Confidence Interval for ECVI = (8.34 ; 9.47)
ECVI for Saturated Model = 9.82
ECVI for Independence Model = 36.82
Chi-Square for Independence Model with 780 Degrees of Freedom = 6068.86
Independence AIC = 6148.86
Model AIC = 1483.64
Saturated AIC = 1640.00
Independence CAIC = 6313.82
Model CAIC = 2180.59
Saturated CAIC = 5021.65
Normed Fit Index (NFI) = 0.80
Non-Normed Fit Index (NNFI) = 0.87
Parsimony Normed Fit Index (PNFI) = 0.67
Comparative Fit Index (CFI) = 0.89
Incremental Fit Index (IFI) = 0.89
Relative Fit Index (RFI) = 0.76
Critical N (CN) = 101.80
Root Mean Square Residual (RMR) = 0.11
Standardized RMR = 0.10
Goodness of Fit Index (GFI) = 0.74
Adjusted Goodness of Fit Index (AGFI) = 0.68
Parsimony Goodness of Fit Index (PGFI) = 0.59
uji validitas cfa AGRESIFITAS
Modification Indices and Expected Change
Degrees of Freedom = 20
Minimum Fit Function Chi-Square = 31.04 (P = 0.055)
Normal Theory Weighted Least Squares Chi-Square = 29.88 (P = 0.072)
Estimated Non-centrality Parameter (NCP) = 9.88
90 Percent Confidence Interval for NCP = (0.0 ; 28.66)
Minimum Fit Function Value = 0.19
Population Discrepancy Function Value (F0) = 0.059
90 Percent Confidence Interval for F0 = (0.0 ; 0.17)
Root Mean Square Error of Approximation (RMSEA) = 0.054
90 Percent Confidence Interval for RMSEA = (0.0 ; 0.093)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.39
Expected Cross-Validation Index (ECVI) = 0.60
90 Percent Confidence Interval for ECVI = (0.54 ; 0.71)
ECVI for Saturated Model = 0.66
ECVI for Independence Model = 2.14
Chi-Square for Independence Model with 45 Degrees of Freedom = 337.18
Independence AIC = 357.18
Model AIC = 99.88
Saturated AIC = 110.00
Independence CAIC = 398.42
Model CAIC = 244.22
Saturated CAIC = 336.82
Normed Fit Index (NFI) = 0.91
Non-Normed Fit Index (NNFI) = 0.91
Parsimony Normed Fit Index (PNFI) = 0.40
Comparative Fit Index (CFI) = 0.96
Incremental Fit Index (IFI) = 0.97
Relative Fit Index (RFI) = 0.79
Critical N (CN) = 203.11
Root Mean Square Residual (RMR) = 0.060
Standardized RMR = 0.060
Goodness of Fit Index (GFI) = 0.97
Adjusted Goodness of Fit Index (AGFI) = 0.90
Parsimony Goodness of Fit Index (PGFI) = 0.35
Degrees of Freedom = 22
Minimum Fit Function Chi-Square = 33.29 (P = 0.058)
Normal Theory Weighted Least Squares Chi-Square = 32.83 (P = 0.064)
Estimated Non-centrality Parameter (NCP) = 10.83
90 Percent Confidence Interval for NCP = (0.0 ; 30.30)
Minimum Fit Function Value = 0.20
Population Discrepancy Function Value (F0) = 0.065
90 Percent Confidence Interval for F0 = (0.0 ; 0.18)
Root Mean Square Error of Approximation (RMSEA) = 0.054
90 Percent Confidence Interval for RMSEA = (0.0 ; 0.091)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.39
Expected Cross-Validation Index (ECVI) = 0.59
90 Percent Confidence Interval for ECVI = (0.53 ; 0.71)
ECVI for Saturated Model = 0.66
ECVI for Independence Model = 2.72
Chi-Square for Independence Model with 45 Degrees of Freedom = 433.85
Independence AIC = 453.85
Model AIC = 98.83
Saturated AIC = 110.00
Independence CAIC = 495.09
Model CAIC = 234.92
Saturated CAIC = 336.82
Normed Fit Index (NFI) = 0.92
Non-Normed Fit Index (NNFI) = 0.94
Parsimony Normed Fit Index (PNFI) = 0.45
Comparative Fit Index (CFI) = 0.97
Incremental Fit Index (IFI) = 0.97
Relative Fit Index (RFI) = 0.84
Critical N (CN) = 203.12
Root Mean Square Residual (RMR) = 0.071
Standardized RMR = 0.071
Goodness of Fit Index (GFI) = 0.96
Adjusted Goodness of Fit Index (AGFI) = 0.91
Parsimony Goodness of Fit Index (PGFI) = 0.38
Degrees of Freedom = 27
Minimum Fit Function Chi-Square = 34.68 (P = 0.15)
Normal Theory Weighted Least Squares Chi-Square = 34.93 (P = 0.14)
Estimated Non-centrality Parameter (NCP) = 7.93
90 Percent Confidence Interval for NCP = (0.0 ; 27.32)
Minimum Fit Function Value = 0.21
Population Discrepancy Function Value (F0) = 0.047
90 Percent Confidence Interval for F0 = (0.0 ; 0.16)
Root Mean Square Error of Approximation (RMSEA) = 0.042
90 Percent Confidence Interval for RMSEA = (0.0 ; 0.078)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.60
Expected Cross-Validation Index (ECVI) = 0.54
90 Percent Confidence Interval for ECVI = (0.50 ; 0.66)
ECVI for Saturated Model = 0.66
ECVI for Independence Model = 1.75
Chi-Square for Independence Model with 45 Degrees of Freedom = 272.28
Independence AIC = 292.28
Model AIC = 90.93
Saturated AIC = 110.00
Independence CAIC = 333.52
Model CAIC = 206.40
Saturated CAIC = 336.82
Normed Fit Index (NFI) = 0.87
Non-Normed Fit Index (NNFI) = 0.94
Parsimony Normed Fit Index (PNFI) = 0.52
Comparative Fit Index (CFI) = 0.97
Incremental Fit Index (IFI) = 0.97
Relative Fit Index (RFI) = 0.79
Critical N (CN) = 227.13
Root Mean Square Residual (RMR) = 0.064
Standardized RMR = 0.064
Goodness of Fit Index (GFI) = 0.96
Adjusted Goodness of Fit Index (AGFI) = 0.92
Parsimony Goodness of Fit Index (PGFI) = 0.47
Degrees of Freedom = 19
Minimum Fit Function Chi-Square = 19.33 (P = 0.44)
Normal Theory Weighted Least Squares Chi-Square = 18.45 (P = 0.49)
Estimated Non-centrality Parameter (NCP) = 0.0
90 Percent Confidence Interval for NCP = (0.0 ; 13.68)
Minimum Fit Function Value = 0.12
Population Discrepancy Function Value (F0) = 0.0
90 Percent Confidence Interval for F0 = (0.0 ; 0.082)
Root Mean Square Error of Approximation (RMSEA) = 0.0
90 Percent Confidence Interval for RMSEA = (0.0 ; 0.066)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.85
Expected Cross-Validation Index (ECVI) = 0.54
90 Percent Confidence Interval for ECVI = (0.54 ; 0.63)
ECVI for Saturated Model = 0.66
ECVI for Independence Model = 4.98
Chi-Square for Independence Model with 45 Degrees of Freedom = 810.95
Independence AIC = 830.95
Model AIC = 90.45
Saturated AIC = 110.00
Independence CAIC = 872.19
Model CAIC = 238.91
Saturated CAIC = 336.82
Normed Fit Index (NFI) = 0.98
Non-Normed Fit Index (NNFI) = 1.00
Parsimony Normed Fit Index (PNFI) = 0.41
Comparative Fit Index (CFI) = 1.00
Incremental Fit Index (IFI) = 1.00
Relative Fit Index (RFI) = 0.94
Critical N (CN) = 313.71
Root Mean Square Residual (RMR) = 0.040
Standardized RMR = 0.040
Goodness of Fit Index (GFI) = 0.98
Adjusted Goodness of Fit Index (AGFI) = 0.94
Parsimony Goodness of Fit Index (PGFI) = 0.34
Degrees of Freedom = 23
Minimum Fit Function Chi-Square = 36.21 (P = 0.039)
Normal Theory Weighted Least Squares Chi-Square = 35.03 (P = 0.052)
Estimated Non-centrality Parameter (NCP) = 12.03
90 Percent Confidence Interval for NCP = (0.0 ; 32.08)
Minimum Fit Function Value = 0.22
Population Discrepancy Function Value (F0) = 0.072
90 Percent Confidence Interval for F0 = (0.0 ; 0.19)
Root Mean Square Error of Approximation (RMSEA) = 0.056
90 Percent Confidence Interval for RMSEA = (0.0 ; 0.091)
P-Value for Test of Close Fit (RMSEA < 0.05) = 0.36
Expected Cross-Validation Index (ECVI) = 0.59
90 Percent Confidence Interval for ECVI = (0.52 ; 0.71)
ECVI for Saturated Model = 0.66
ECVI for Independence Model = 2.83
Chi-Square for Independence Model with 45 Degrees of Freedom = 452.01
Independence AIC = 472.01
Model AIC = 99.03
Saturated AIC = 110.00
Independence CAIC = 513.25
Model CAIC = 230.99
Saturated CAIC = 336.82
Normed Fit Index (NFI) = 0.92
Non-Normed Fit Index (NNFI) = 0.94
Parsimony Normed Fit Index (PNFI) = 0.47
Comparative Fit Index (CFI) = 0.97
Incremental Fit Index (IFI) = 0.97
Relative Fit Index (RFI) = 0.84
Critical N (CN) = 193.06
Root Mean Square Residual (RMR) = 0.061
Standardized RMR = 0.062
Goodness of Fit Index (GFI) = 0.96
Adjusted Goodness of Fit Index (AGFI) = 0.90
Parsimony Goodness of Fit Index (PGFI) = 0.40
