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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Psychosom Med. 2016 Jul-Aug;78(6):716–727. doi: 10.1097/PSY.0000000000000322

Table 5. Confirmatory One-Factor, Two-Factor, and Bi-factor Model Statistics for the PHQ-ADS *.

Fit Index SCOPE Trial (n = 250) ESCAPE Trial (n = 241) INCPAD Trial (n = 405)
1-factor 2-factor Bi-factor 1-factor 2-factor Bi-factor 1-factor 2-factor Bi-factor
Number of parameters 64 65 80 64 65 80 64 65 80
Chi-square (df) 318.0 (104) 290.6 (103) 250.39 (88) 278.7 (104) 228.0 (103) 167.1 (88) 817.7 (104) 407.1 (103) 161.6 (88)
RMSEA .091 .085 .086 .083 .071 .061 .130 .085 .045
CFI 0.956 0.962 0.967 0.954 0.967 0.979 0.862 .941 .986
WRMR 1.179 1.110 0.949 1.114 0.981 0.755 2.040 1.384 0.740
Estimated factor correlations n/a 0.912 n/a 0.865 n/a 0.653
Explained common variance 0.854 0.792 0.634
Omega hierarchical index 0.906 0.891 0.743
Correlation between 1-factor model loadings and general factor loadings from bi-factor model 0.97 0.73 0.79
*

Strict unidimensional model fit was evaluated using absolute (i.e., chi square), parsimony-adjusted RMSEA (i.e., root mean square error of approximation; cutoff ≤ .06), incremental CFA fit indices (i.e., comparative fit index; cutoff ≥ .95), and WRMR fit indices (i.e., weighted root mean square residual, cutoff ≤ 1.0) Sufficient unidimensionality in the bi-factor model was evidenced by: explained common variance greater than 0.60, omega hierarchical index greater than 0.70, and a high correlation (e.g. r >.90) between the factor loadings of the unidimensional model and the general factor of the bi-factor model.

Each pair constrained to zero