Work or university? Economic competencies and educational aspirations of trainees with hybrid qualifications in Switzerland

Table 9 Prediction of educational aspirations of FVB students who intend to study in economics or a related field (logistic regression)

	B	SE	p	EXP (B)
Study ^a
Economic knowledge and skills	0.42	0.18	0.021	1.52
Intrinsic motivation (in economics)	−0.19	0.44	0.664	0.83
Interest (in economics)	−0.54	0.40	0.176	0.58
Value-oriented disposition (in economics)	0.14	0.40	0.343	1.15
Attitude towards economics	2.18	0.36	0.000	8.84
Mathematics (grade)	1.14	0.99	0.252	3.12
German (grade)	0.39	2.18	0.859	1.47
Economics (grade)	−1.14	1.83	0.534	0.32
Gender (0 = female; 1 = male)	−0.76	0.31	0.014	0.47
Migration background (0 = no; 1 = yes)	−1.17	0.64	0.069	0.31
Academic background (0 = no; 1 = yes)	−0.37	0.40	0.355	0.69
FVB Type (0 = integrated; 1 = consecutive)	−0.11	0.38	0.744	0.90
Profile (0 = commercial; 1 = other)	0.83	0.43	0.053	2.29
Study and work ^a
Economic knowledge and skills	−0.01	0.30	0.987	0.99
Intrinsic motivation (in economics)	−0.72	0.63	0.253	0.49
Interest (in economics)	0.59	0.53	0.267	1.80
Value-oriented disposition (in economics)	0.04	0.54	0.942	1.04
Attitude towards economics	2.17	0.59	0.000	8.75
Mathematics (grade)	1.13	1.66	0.469	3.10
German (grade)	−3.18	2.56	0.213	0.04
Economics (grade)	−0.89	2.65	0.803	0.52
Gender (0 = female; 1 = male)	−0.21	0.53	0.692	0.81
Migration background (0 = no; 1 = yes)	−1.44	0.86	0.094	0.24
Academic background (0 = no; 1 = yes)	−0.80	0.56	0.149	0.45
FVB Type (0 = integrated; 1 = consecutive)	0.17	0.68	0.799	1.19
Profile (0 = commercial; 1 = other)	1.48	1.01	0.143	4.41
R² (Nagelkerke)	0.50

^aReference group is the group of students who wish to work; B Regression coefficient; SE Standard Error; p Significance level; parameters were estimated by using MLR (maximum likelihood parameter estimation); school-classes are used as cluster variable to adjust SE to the stratification of the data using Mplus (Muthén and Muthén 2007)