Table 8.

Model 3, Part I: Relations between career plans and intrinsic value.

Variable	Intrinsic math T1			Intrinsic lang T1			Intrinsic math T2			Intrinsic lang T2
	β	SE	p	β	SE	p	β	SE	p	β	SE	P
Girls	–0.18	0.03	<0.001	0.05	0.03	0.125	0.01	0.03	0.871	0.02	0.03	0.491
German native	–0.06	0.03	0.093	–0.01	0.03	0.945	0.02	0.03	0.405	0.02	0.04	0.549
Math achiev	0.53	0.04	<0.001	–0.36	0.02	<0.001	0.16	0.05	0.002	–0.07	0.04	0.091
Lang achiev	–0.10	0.04	0.017	0.47	0.03	<0.001	–0.01	0.05	0.862	0.11	0.05	0.025
Compr school	0.01	0.04	0.971	0.06	0.05	0.228	0.01	0.03	0.769	0.01	0.03	0.709
Career math T1							0.03	0.03	0.414	–0.03	0.03	0.391
Career lang T1							–0.05	0.02	0.047	0.03	0.03	0.213
Intrinsic math T1							0.63	0.04	<0.001	–0.04	0.04	0.298
Intrinsic lang T1							–0.01	0.04	0.917	0.65	0.03	<0.001

N = 1117; German native, German native language; Math achiev, Self-reported grade Mathematics (recoded); Lang achiev, Self-reported grade German (recoded); Comp school, Comprehensive school (“Integrierte Sekundarschule”); Career math T1, career plans in math-related fields at Time 1; Career lang 1, career plans in language domain at Time 1; Intrinsic math T1/ T2, Intrinsic value in mathematics at Time 1/Time 2; Intrinsic lang T1/T2, Intrinsic value in language arts at Time 1/Time 2. Coefficients which are significant at least at p < 0.05 are depicted in bold.