Table A2.

GLMM estimates with standard errors (SE) of model (3): Chemistry, Industrial design and Law

Coefficient	Estimate	SE
Chemistry (CHEM)
Student covariates ($\mathit{\beta }$)
Proportions of gained credits in semester I	9.502${}^{\ast \ast \ast }$	1.304
No exam in semester I	0.233	0.875
Exam parameters cohort 2018 (${\gamma }_j$)
CHEM01	−3.981${}^{\ast \ast \ast }$	0.641
CHEM02	0.739${}^{·}$	0.415
CHEM03	−4.391${}^{\ast \ast \ast }$	0.689
CHEM04	−1.396${}^{\ast \ast }$	0.446
Exam differences 2019 vs 2018 (${\delta }_j$)
CHEM01	−1.335${}^{·}$	0.772
CHEM02	−0.656	0.575
CHEM03	1.390${}^{\ast }$	0.696
CHEM04	0.311	0.603
Standard deviation of random effects (${\sigma }_u$)	0.897${}^{\ast }$	0.363
Industrial design (DESIGN)
Student covariates ($\mathit{\beta }$)
Proportions of gained credits in semester I	3.977${}^{\ast \ast \ast }$	0.645
No exam in semester I	−3.266${}^{\ast \ast \ast }$	0.663
Exam parameters cohort 2018 (${\gamma }_j$)
DES01	2.281${}^{\ast \ast \ast }$	0.344
DES02	0.595${}^{\ast }$	0.268
DES03	0.794${}^{\ast \ast }$	0.272
Exam differences 2019 vs 2018 (${\delta }_j$)
DES01	0.591	0.446
DES02	0.607	0.372
DES03	0.118	0.369
Standard deviation of random effects (${\sigma }_u$)	1.554${}^{\ast \ast \ast }$	0.218
Law (LAW)
Student covariates ($\mathit{\beta }$)
Proportions of gained credits in semester I	6.854${}^{\ast \ast \ast }$	0.471
No exam in semester I	0.830${}^{\ast }$	0.406
Exam parameters cohort 2018 (${\gamma }_j$)
LAW01	−0.479${}^{\ast }$	0.200
LAW02	−2.219${}^{\ast \ast \ast }$	0.225
LAW03	−0.352${}^{·}$	0.200
Exam differences 2019 vs 2018 (${\delta }_j$)
LAW01	−0.458${}^{·}$	0.245
LAW02	0.313	0.244
LAW03	−0.403	0.245
Standard deviation of random effects (${\sigma }_u$)	1.471${}^{\ast \ast \ast }$	0.136

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