Table 4. Confirmatory factor analysis fit statistics for each model.
Model | X 2 | df | p | CFI | TLI | RMSEA |
---|---|---|---|---|---|---|
Model 1 | 1179.60 | 35 | <0.001 | 0.87 | 0.83 | 0.11 |
Model 2 | 785.87 | 32 | <0.001 | 0.91 | 0.88 | 0.10 |
Model 3 | 957.51 | 34 | <0.001 | 0.89 | 0.86 | 0.10 |
Model 4 | 1338.81 | 35 | <0.001 | 0.72 | 0.64 | 0.17 |
Model 1 = unidimensional structure | ||||||
Model 2 = unidimensional structure with correlated errors | ||||||
Model 3 = two factor depression/anxiety structure | ||||||
Model 4 = model from EFA | ||||||
X2 = chi-square; df = degree of freedom; p = significance level; CFI = comparative fit index; | ||||||
TLI = Tucker-Lewis fit index; RMSEA = root mean square error of approximation |