Table A3.

GLMM estimates with standard errors (SE) of model (3): Engineering and Psychology

Coefficient	Estimate	SE
Engineering (ENGIN)
Student covariates ($\mathit{\beta }$)
Proportions of gained credits in semester I	3.110${}^{\ast \ast \ast }$	0.320
No exam in semester I	−1.165${}^{\ast \ast \ast }$	0.309
Exam parameters cohort 2018 (${\gamma }_j$)
ENG01	−0.027	0.172
ENG02	−2.516${}^{\ast \ast \ast }$	0.224
ENG03	−0.236	0.172
ENG04	−1.903${}^{\ast \ast \ast }$	0.201
Exam differences 2019 vs 2018 (${\delta }_j$)
ENG01	0.754${}^{\ast \ast \ast }$	0.225
ENG02	0.846${}^{\ast \ast }$	0.264
ENG03	−1.308${}^{\ast \ast \ast }$	0.237
ENG04	0.074	0.252
Standard deviation of random effects (${\sigma }_u$)	1.068${}^{\ast \ast \ast }$	0.106
Psychology (PSY)
Student covariates ($\mathit{\beta }$)
Proportions of gained credits in semester I	7.386${}^{\ast \ast \ast }$	0.660
No exam in semester I	−0.063	0.518
Exam parameters cohort 2018 (${\gamma }_j$)
PSY01	2.794${}^{\ast \ast \ast }$	0.323
PSY02	2.476${}^{\ast \ast \ast }$	0.315
PSY03	1.660${}^{\ast \ast \ast }$	0.298
PSY04	1.205${}^{\ast \ast \ast }$	0.290
Exam differences 2019 vs 2018 (${\delta }_j$)
PSY01	−1.132${}^{\ast \ast }$	0.349
PSY02	−0.243	0.349
PSY03	−1.190${}^{\ast \ast \ast }$	0.326
PSY04	0.361	0.329
Standard deviation of random effects (${\sigma }_u$)	2.704${}^{\ast \ast \ast }$	0.204

${}^{\ast \ast \ast }$Significant at 0.001; ${}^{\ast \ast }$Significant at 0.01; ${}^{\ast }$Significant at 0.05; ${}^{·}$Significant at 0.10