Table 4.
Subscale | # of items | Statistic Tml |
Rescaled statistic Trml |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
df | Tml | pv | CFI | RMS | Trml | pv | CFI | RMS | ||
cohesion | 16 | 104 | 539.231 | .000 | 0.888 | 0.070 | 402.858 | .000 | 0.887 | 0.058 |
adapt | 13 | 65 | 243.217 | .000 | 0.928 | 0.057 | 198.555 | .000 | 0.925 | 0.049 |
Subscale | # of items | Reliability | Estimate (SEnm & SEsw) | [Lnm, Unm] | [Lsw, Usw] | |||||
Cohesion | 16 | ω | 0.866 (0.007 & 0.008) | [0.853, 0.879] | [0.850, 0.882] | |||||
α | 0.864 (0.007 & 0.008) | [0.851, 0.877] | [0.848, 0.879] | |||||||
ω−α | 0.002 (0.001 & 0.001) | [0.001, 0.003] | [0.001, 0.003] | |||||||
Adapt | 13 | ω | 0.805 (0.010 & 0.011) | [0.786, 0.825] | [0.785, 0.826] | |||||
α | 0.799 (0.010 & 0.011) | [0.779, 0.818] | [0.777, 0.820] | |||||||
ω−α | 0.007 (0.001 & 0.001) | [0.004, 0.009] | [0.004, 0.010] |
Note. pv = p value; RMS = RMSEA; nm = based on normal distribution assumption; sw = sandwich-type covariance matrix.