Skip to main content

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

0.42

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

  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)