Table 3. Comparison of Constrained and Unconstrained Models in Sample 1 and 2.
Analysis | Sample | RMSEA | CFI | SRMR | Chi square(df) of model fit | Log-likelihood test | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
Constrained model | Unconstrained model | Constrained model | Unconstrained model | Constrained model | Unconstrained model | Constrained model | Unconstrained model | χ2(df) | p | ||
General RS | S1 | .012 | <.001 | .999 | >.999 | .067 | .040 | 17.56(17) p =.417 | 7.24(9) p =.612 | 10.57(8) | .227 |
S2 | <.001 | <.001 | >.999 | >.999 | .018 | .007 | 3.97(5) p =.554 | 1.42(1) p =.233 | 3.29(4) | .510 | |
Anxious RS | S1 | .051 | <.001 | .978 | >.999 | .077 | .044 | 27.33(17) p =.053 | 8.86(9) p =.451 | 20.79(8) | .008 |
S2 | .045 | .050 | .992 | .998 | .021 | .014 | 12.04(5) p =.034 | 2.81(1) p =.094 | 9.22(4) | .056 | |
Angry RS | S1 | <.001 | <.001 | >.999 | >.999 | .059 | .034 | 15.62(17) p =.551 | 6.74(9) p =.664 | 9.00(8) | .342 |
S2 | <.001 | <.001 | >.999 | >.999 | .014 | .001 | 1.42(5) p =.923 | 0.02(1) p =.877 | 1.37(4) | .850 | |
Peer RS | S2 | <.001 | <.001 | >.999 | >.999 | .020 | .004 | 4.47(5) p =.484 | 0.19(1) p =.666 | 4.32(4) | .365 |
Teacher RS | S2 | <.001 | .007 | >.999 | >.999 | .018 | .009 | 4.64(5) p =.461 | 1.03(1) p =.309 | 3.61(4) | .462 |
Note. Significant log-likelihood tests indicate preference of the unconstrained model (p <.05). RS = Rejection sensitivity, S1 = Sample 1, S2 = Sample 2.