Table 4.
12-item model | ||||||
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| ||||||
Models/Measures | χ2 | df | CFI | TLI | RMSEA | SRMR |
| ||||||
1. First-order 4-factor | 335.33 | 48 | 0.94 | 0.92 | 0.08 | 0.06 |
2. First-order 4-factor (MIA) | 192.53 | 46 | 0.97 | 0.96 | 0.06 | 0.04 |
3. One underlying factor | 1864.14 | 54 | 0.62 | 0.54 | 0.19 | 0.13 |
4. Second-order single-factor | 395.16 | 50 | 0.93 | 0.90 | 0.08 | 0.08 |
15-item model | ||||||
| ||||||
Models/Measures | χ2 | df | CFI | TLI | RMSEA | SRMR |
| ||||||
1. First-order 4-factor | 631.14 | 84 | 0.91 | 0.89 | 0.08 | 0.07 |
2. First-order 4-factor (MIA) | 351.99 | 82 | 0.96 | 0.95 | 0.06 | 0.05 |
3. One underlying factor | 2256.61 | 90 | 0.66 | 0.60 | 0.16 | 0.12 |
4. Second-order single-factor | 707.78 | 86 | 0.90 | 0.88 | 0.09 | 0.09 |
Note. χ2, Chi-square; df, degrees of freedom; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual; CFI, comparative fit index, TLI, Tucker-Lewis index.
12-item model. Models 1 and 4 were compared using the Satorra-Bentler (1994) scaled chi-square difference test, yielding statistically significant results [Δ χ2 = 56.88, Δ df = 2, p < 0.001], suggesting that Model 1 fits the data better than 4.
15-item model. Models 1 and 4 were compared using the Satorra-Bentler (1994) scaled chi-square difference test, yielding statistically significant results [Δ χ2 = 80.85, Δ df = 2, p < 0.001], suggesting that Model 1 fits the data better than 4.
MIA = modification indices applied. Both models with MIA had the highest two correlated residuals added, which were the same for both models, SP3 with SP2 and RV2 with RV1.
Every χ2 p-value is < 0.001.