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. Author manuscript; available in PMC: 2012 Nov 1.
Published in final edited form as: J Res Pers. 2011 Nov;45(5):468–478. doi: 10.1016/j.jrp.2011.06.002

Table 4.

Summary of fit statistics for confirmatory factor analysis models.

df χ 2 χ2 p RMSEA RMSEA
90% CI		 CFI TLI SRMR BIC AIC
Model 1 367 8042.24 0.00 0.194 0.190-0.198 0.34 0.27 0.19 42385.86 41966.74
Model 2 372 8129.81 0.00 0.194 0.190-0.197 0.33 0.27 0.19 42441.83 42044.32
Model 3 318 5066.78 0.00 0.164 0.160-0.168 0.59 0.48 0.14 39720.12 39089.28
Model 4 363 7365.54 0.00 0.186 0.183-0.190 0.40 0.32 0.19 41298.04 41734.44
Model 5 364 6984.86 0.00 0.181 0.177-0.185 0.43 0.36 0.21 41347.44 40915.36
Model 6 356 4583.88 0.00 0.146 0.142-0.150 0.64 0.58 0.15 38997.03 38530.38
Model 7 361 4626.82 0.00 0.146 0.142-0.149 0.63 0.59 0.15 39008.36 38563.32

Note. N = 556 . df = Degrees of Freedom; χ2 = Chi-Square; RMSEA = Root Mean Square Error of Approximation; RMSEA 90% CI = 90% Confidence interval for RMSEA; CFI = Comparative Fit Index; TLI = Tucker-Lewis Fit Index; SRMR = Standardized Root Mean Square Residual; BIC = Bayesian Information Criterion; AIC = Akaike Information Criterion.