Table 1 Multigroup growth curve model results for school engagement, with initial levels of stereotype awareness (intercept) predicting initial levels of engagement (intercept) for RQ3, initial levels of stereotype awareness (intercept) predicting changes (slope) in engagement for RQ4, and changes (slope) in stereotype awareness predicting changes (slope) in engagement for RQ5.

From: Does students’ awareness of school-track-related stereotypes exacerbate inequalities in education?

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 engagement

RQ3: Intercept of stereotypes

−0.360

0.092

−3.925

<0.001

−0.469

0.12

−3.909

<0.001

−0.594

0.100

−5.935

<0.001

Slope of stereotypes

−0.051

0.239

−0.211

0.833

−0.154

0.144

−1.068

0.285

0.139

0.209

0.665

0.506

Gender

−0.253

0.054

−4.661

<0.001

−0.181

0.064

−2.846

0.004

−0.111

0.069

−1.610

0.108

Socioeconomic background

−0.024

0.036

−0.683

0.495

0.013

0.033

0.393

0.695

0.012

0.038

0.321

0.748

Migration background

0.191

0.069

2.761

0.006

−0.049

0.186

−0.263

0.793

0.340

0.116

2.935

0.003

Changes in school engagement (slope)

RQ4: Intercept of stereotypes

−0.034

0.109

−0.309

0.833

−0.068

0.127

−0.535

0.833

0.083

0.128

0.647

0.833

RQ5: Slope of stereotypes

−0.005

0.278

−0.018

0.986

−0.011

0.155

−0.072

0.986

−0.288

0.215

−1.340

0.424

Gender

0.135

0.071

1.883

0.060

0.063

0.071

0.890

0.373

0.069

0.083

0.826

0.409

Socioeconomic background

0.010

0.043

0.228

0.819

−0.002

0.04

−0.057

0.955

0.013

0.039

0.325

0.745

Migration background

−0.147

0.08

−1.829

0.067

0.172

0.178

0.966

0.334

−0.173

0.096

−1.811

0.070

  1. 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 each research question, separately.