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Goodness of Fit Statistics for model driven by Modification Indices

Degrees of Freedom = 216
Minimum Fit Function Chi-Square = 762.71 (P = 0.0)
Normal Theory Weighted Least Squares Chi-Square = 779.21 (P = 0.0)
Estimated Non-centrality Parameter (NCP) = 563.21
90 Percent Confidence Interval for NCP = (481.73 ; 652.26)

Minimum Fit Function Value = 0.16
Population Discrepancy Function Value (F0) = 0.12
90 Percent Confidence Interval for F0 = (0.10 ; 0.14)
Root Mean Square Error of Approximation (RMSEA) = 0.024
90 Percent Confidence Interval for RMSEA = (0.022 ; 0.025)
P-Value for Test of Close Fit (RMSEA < 0.05) = 1.00

Expected Cross-Validation Index (ECVI) = 0.20
90 Percent Confidence Interval for ECVI = (0.18 ; 0.22)
ECVI for Saturated Model = 0.13
ECVI for Independence Model = 20.55

Chi-Square for Independence Model with 276 Degrees of Freedom = 96232.66
Independence AIC = 96280.66
Model AIC = 947.21
Saturated AIC = 600.00
Independence CAIC = 96459.52
Model CAIC = 1573.21
Saturated CAIC = 2835.70

Normed Fit Index (NFI) = 0.99
Non-Normed Fit Index (NNFI) = 0.99
Parsimony Normed Fit Index (PNFI) = 0.78
Comparative Fit Index (CFI) = 0.99
Incremental Fit Index (IFI) = 0.99
Relative Fit Index (RFI) = 0.99

Critical N (CN) = 1642.74


Root Mean Square Residual (RMR) = 0.014
Standardized RMR = 0.026
Goodness of Fit Index (GFI) = 0.99
Adjusted Goodness of Fit Index (AGFI) = 0.98
Parsimony Goodness of Fit Index (PGFI) = 0.71

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Contact Information

ben.earnhart@gmail.com