Table 6.
Results of confirmatory factor analysis of study variables.
| Model | X2 (df) | ΔX2 | CFI | TLI | RMSEA | SRMR | Loading range | Inter-factor correlation |
|---|---|---|---|---|---|---|---|---|
| 1-factor | 3008.499*** (299) | 0.46 | 0.42 | 0.19 | 0.24 | 0.04–1.05 | – | |
| 2-factor | 2356.792*** (298) | 651.707 | 0.59 | 0.55 | 0.17 | 0.22 | 0.03–1.04 | −0.12 |
| 3-factor | 1627.850*** (296) | 728.942 | 0.74 | 0.71 | 0.14 | 0.17 | 0.02–1.03 | −0.70 – 0.39 |
| 4-factor | 740.50*** (293) | 887.350 | 0.92 | 0.91 | 0.08 | 0.07 | 0.63–1.03 | −0.70 – 0. 44 |
N = 248; Estimation method ml; df = degrees of freedom; X2 = chi-square; ΔX2 = difference in chi-square; CFI = Comparative Fit Index; TLI = Tucker–Lewis Index; SRMR = Standardized Root Mean Square Residual; RMSEA = Root Mean Square Error of Approximation; Model 1 (1-factor model) combines all four variables as one factor. Model 2 (2-factor model) includes AFF-MTL and NC-MTL, loading items of SN-MTL and PS-MTL onto AFF-MTL. Model 3 (3-factor model) includes AFF-MTL, NC-MTL, and SN-MTL, loading items of PS-MTL onto AFF-MTL. Model 4 (4-factor model) includes all four variables being treated as independent factors. All X2 (df)s are significant at ***p < 0.001 level.