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Degrees of Freedom = 3 Minimum Fit Function Chi-Square = 1.25 (P = 0.74) Normal Theory Weighted Least Squares Chi-Square = 1.25 (P = 0.74) Estimated Non-centrality Parameter (NCP) = 0.0 90 Percent Confidence Interval for NCP = (0.0 ; 4.20) Minimum Fit Function Value = 0.0073 Population Discrepancy Function Value (F0) = 0.0 90 Percent Confidence Interval for F0 = (0.0 ; 0.025) Root Mean Square Error of Approximation (RMSEA) = 0.0 90 Percent Confidence Interval for RMSEA = (0.0 ; 0.091) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.84 Expected Cross-Validation Index (ECVI) = 0.16 90 Percent Confidence Interval for ECVI = (0.16 ; 0.18) ECVI for Saturated Model = 0.18 ECVI for Independence Model = 1.46 Chi-Square for Independence Model with 10 Degrees of Freedom = 238.10 Independence AIC = 248.10 Model AIC = 25.25 Saturated AIC = 30.00 Independence CAIC = 268.87 Model CAIC = 75.09 Saturated CAIC = 92.30 Normed Fit Index (NFI) = 0.99 Non-Normed Fit Index (NNFI) = 1.03 Parsimony Normed Fit Index (PNFI) = 0.30 Comparative Fit Index (CFI) = 1.00 Incremental Fit Index (IFI) = 1.01 Relative Fit Index (RFI) = 0.98 Critical N (CN) = 1560.66 Root Mean Square Residual (RMR) = 0.73 Standardized RMR = 0.015 Goodness of Fit Index (GFI) = 1.00 Adjusted Goodness of Fit Index (AGFI) = 0.99 Parsimony Goodness of Fit Index (PGFI) = 0.20