Table 2. Confirmatory factor analysis of total covariance structure. |
|
Growth Curve |
χ2 |
df |
p |
NFI |
CFI |
RMSEA |
90% of CI |
| Intrinsic Motivation |
Linear |
149.28 |
16 |
.00 |
.864 |
.874 |
.115 |
.098, .133 |
| Quadratic |
100.21 |
12 |
.00 |
.915 |
.923 |
.104 |
.084, .125 |
| Cubic |
39.98 |
7 |
.00 |
.973 |
.978 |
.075 |
.049, .105 |
| Identified Regulation |
Linear |
103.86 |
16 |
.00 |
.919 |
.930 |
.085 |
.070, .101 |
| Quadratic |
35.75 |
12 |
.00 |
.988 |
.997 |
.021 |
.000, .049 |
| Cubic |
14.35 |
7 |
.04 |
.994 |
.999 |
.018 |
.000, .056 |
| Introjected Regulation |
Linear |
1013.77 |
16 |
.00 |
.779 |
.785 |
.194 |
.177, .212 |
| Quadratic |
384.11 |
12 |
.00 |
.946 |
.951 |
.107 |
.087, .127 |
| Cubic |
199.29 |
7 |
.00 |
.978 |
.981 |
.088 |
.062, .117 |
| External Regulation |
Linear |
98.51 |
16 |
.00 |
.964 |
.970 |
.079 |
.061, .097 |
| Quadratic |
64.81 |
12 |
.00 |
.975 |
.979 |
.075 |
.055, .097 |
| Cubic |
47.84 |
7 |
.00 |
.983 |
.986 |
.084 |
.058, .113 |
| Amotivation |
Linear |
296.38 |
16 |
.00 |
.922 |
.930 |
.105 |
.088, .123 |
| Quadratic |
138.43 |
12 |
.00 |
.957 |
.963 |
.089 |
.069, .110 |
| Cubic |
90.13 |
7 |
.00 |
.967 |
.970 |
.108 |
.082, .136 |
|
|