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Table 10 Prediction of educational aspirations of FVB students who intend to study in other fields than economics or related to economics (logistic regression)

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

 

B

SE

p

EXP (B)

Study a

 Economic knowledge and skills

0.26

0.16

0.096

1.30

 Intrinsic motivation (in economics)

−0.70

0.28

0.018

0.50

 Interest (in economics)

−0.20

0.30

0.518

0.82

 Value-oriented disposition (in economics)

0.60

0.24

0.013

1.82

 Attitude towards economics

0.45

0.23

0.052

1.57

 Mathematics (grade)

1.03

0.87

0.238

2.80

 German (grade)

1.22

1.34

0.371

3.39

 Economics (grade)

−0.13

1.20

0.911

0.87

 Gender (0 = female; 1 = male)

−0.16

0.26

0.525

0.86

 Migration background (0 = no; 1 = yes)

−0.15

0.51

0.761

0.86

 Academic background (0 = no; 1 = yes)

−0.55

0.27

0.040

0.58

 FVB Type (0 = integrated; 1 = consecutive)

−0.42

0.31

0.182

0.66

 Profile (0 = commercial; 1 = other)

−1.43

0.34

0.000

0.24

Study and work a

 Economic knowledge and skills

−0.01

0.20

0.955

0.99

 Intrinsic motivation

−0.66

0.39

0.087

0.52

 Interest (in economics)

0.07

0.39

0.852

1.08

 Value-oriented disposition

0.70

0.39

0.073

2.01

 Attitude towards economics

0.18

0.29

0.546

1.19

 Mathematics (grade)

0.28

1.06

0.795

1.32

 German (grade)

0.90

1.57

0.568

2.45

 Economics (grade)

−0.23

1.22

0.850

0.79

 Gender (0 = female; 1 = male)

−0.31

0.34

0.356

0.73

 Migration background (0 = no; 1 = yes)

0.24

0.65

0.717

1.27

 Academic background (0 = no; 1 = yes)

−0.64

0.33

0.050

0.53

 FVB Type (0 = integrated; 1 = consecutive)

−0.22

0.31

0.478

0.80

 Profile (0 = commercial; 1 = other)

−1.01

0.38

0.008

0.37

R2 (Nagelkerke)

0.14

  1. 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)