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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: Psychol Methods. 2013 Dec 23;20(1):117–141. doi: 10.1037/a0034523

Table 11.

Comparing Longitudinal Models of NLSY97 Depression

Model χ2 (df) χ2 (df) p CFI TLI RMSEA SRMR
1a One Factor Model 2423.64 (87) 0.783 0.738 0.139 0.076

2a   + Residual Correlation 1846.16 (84) 577.48 (3) < .001 0.836 0.795 0.123 0.081
2b Two Factor Model 1427.11 (75) 996.53 (12) < .001 0.874 0.824 0.114 0.063

3a Pos→Neg=0 1438.20 (78) 11.08 (3) .011 0.874 0.830 0.112 0.064
3b Neg→Pos=0 1433.29 (78) 6.18 (3) .103 0.874 0.831 0.112 0.063
3c Neg→Pos=Pos→Neg 1428.96 (78) 1.85 (3) .605 0.875 0.831 0.111 0.064

4 Neg→Neg=Pos→Pos 1429.44 (81) 0.46 (3) .923 0.875 0.838 0.109 0.064

5 No Neg↔Pos Regressions 1452.10 (84) 22.66 (3) < .001 0.873 0.841 0.108 0.064

Note. Model fit statistics for longitudinal models of depression for the 1983 cohort of the NLSY97 sample. All models to best fitting (bottom) model in preceding section. Neg→Neg indicates set of 3 possible autoregression (age 17 predicting ages 19 and 21, and age 19 predicting age 21), while Neg→Pos indicates set of three possible cross-loadings (negative factor at age 17 predicts positive factor at ages 19 and 21, and negative factor at age 19 predicts positive factor at age 21).