Table 2.

Multigroup growth curve model results for academic achievement, with initial levels of stereotype awareness (intercept) predicting initial levels of achievement (intercept) for RQ3, initial levels of stereotype awareness (intercept) predicting changes (slope) in achievement for RQ4, and changes (slope) in stereotype awareness predicting changes (slope) in achievement for RQ5.

School track	Lowest track				Combined track				Higher track
Parameter	b	SE	Est/SE	p	b	SE	Est/SE	p	b	SE	Est/SE	p
Intercept of school achievement
RQ3: Intercept of stereotypes	0.647	0.099	6.566	<0.001	0.126	0.093	1.363	0.222	−0.090	0.108	−0.832	0.405
Slope of stereotypes	0.469	0.185	2.539	0.011	0.076	0.089	0.848	0.396	0.313	0.195	1.609	0.108
Gender	0.173	0.050	3.496	<0.001	0.131	0.059	2.211	0.027	0.14	0.044	3.157	0.002
Socioeconomic background	0.035	0.027	1.307	0.191	0.088	0.027	3.227	0.001	0.055	0.029	1.906	0.057
Migration background	−0.268	0.076	−3.540	<0.001	−0.391	0.141	−2.781	0.005	−0.181	0.092	−1.967	0.049
Changes in school achievement (slope)
RQ4: Intercept of stereotypes	−0.17	0.109	−1.566	0.352	−0.314	0.112	−2.799	0.046	−0.289	0.133	−2.170	0.135
RQ5: Slope of stereotypes	−0.201	0.230	−0.875	0.572	0.164	0.127	1.290	0.424	−0.315	0.147	−2.144	0.288
Gender	−0.249	0.064	−3.897	<0.001	−0.184	0.076	−2.439	0.015	−0.305	0.079	−3.868	<0.001
Socioeconomic background	−0.015	0.037	−0.405	0.685	0.017	0.027	0.606	0.544	−0.022	0.041	−0.549	0.583
Migration background	−0.213	0.087	−2.438	0.015	0.047	0.215	0.219	0.827	0.015	0.107	0.136	0.892

RQ = Research Question. Gender: 0 = female, 1 = male; Migration background: 0 = without, 1 = with; Statistically significant p-values (p < 0.05) are printed in bold. The Benjamini-Hochberg correction was applied to all p-values related to a research question (separately for each research question).