t1 → t2 | t2 → t3 | t3 → t4 | Equality constraints | |||||
---|---|---|---|---|---|---|---|---|
β | SE | β | SE | β | SE | β | SE | |
Autoregressive paths | ||||||||
Training satisfaction | .473*** | .047 | .678*** | .032 | .645*** | .043 | .601*** | .032 |
Learning motivation | .711*** | .031 | .793*** | .027 | – | – | .749*** | .021 |
Intention to remain | .401*** | .030 | .434*** | .033 | .624*** | .033 | .49*** | .023 |
Cross-lagged paths | ||||||||
Training satisfaction → intention to remain | .115** | .044 | .182*** | .037 | .140*** | .040 | .157*** | .026 |
Learning motivation → intention to remain | .083* | .040 | .025 ns | .035 | .014 ns | .035 | .029 ns | .022 |
Training satisfaction → learning motivation | .010 ns | .034 | .010 ns | .037 | – | – | .010 ns | .026 |
Learning motivation → training satisfaction | .133** | .044 | .068* | .036 | .116** | .040 | .101*** | .022 |
Intention to remain → training satisfaction | .147*** | .030 | .091** | .032 | .107*** | .027 | .129*** | .019 |
Intention to remain → learning motivation | −.017 ns | .030 | .021 ns | .030 | – | – | .011 ns | .036 |