Table 6 Two multilevel logistic regression models: the first with students enrolled in healthcare programs, and the second without

(Intercept)

0.03

0.02–0.03

< 0.001

0.02

0.02–0.03

< 0.001

Avellino

5.49

4.14–7.29

< 0.001

8.25

5.94–11.44

< 0.001

Benevento

11.01

8.01–15.13

< 0.001

15.37

10.71–22.06

< 0.001

Caserta

3.49

2.76–4.42

< 0.001

4.00

3.01–5.32

< 0.001

Salerno

4.26

3.38–5.35

< 0.001

5.85

4.46–7.69

< 0.001

Other lyceum

1.30

1.05–1.61

0.015

1.04

0.82–1.33

0.729

Classical lyceum

1.44

1.15–1.80

0.002

1.36

1.06–1.75

0.017

Other diploma

0.67

0.35–1.31

0.243

0.83

0.40–1.68

0.597

Vocational track

1.13

0.80–1.60

0.474

0.86

0.57–1.30

0.487

Technical track

0.66

0.52–0.85

0.001

0.48

0.36–0.65

< 0.001

Gender = Male

1.24

1.08–1.42

0.002

1.16

1.00–1.35

0.049

Grade (scaled)

1.08

0.98–1.19

0.139

1.04

0.94–1.16

0.432

Healthcare studies

8.09

6.93–9.44

< 0.001

Social studies

2.25

2.01–2.53

< 0.001

2.40

2.13–2.70

< 0.001

Humanities studies

1.21

1.05–1.40

0.010

1.27

1.09–1.47

0.002

Non–state school

1.25

0.96–1.62

0.096

1.27

0.93–1.73

0.135

Other lyceum * Male

1.24

0.85–1.82

0.263

1.47

0.98–2.22

0.064

Classical lyceum * Male

1.26

0.96–1.65

0.093

1.31

0.98–1.74

0.067

Other diploma * Male

0.41

0.14–1.18

0.099

0.61

0.20–1.88

0.389

Vocational track * Male

0.94

0.61–1.47

0.798

0.84

0.49–1.45

0.528

Technical track * Male

1.43

1.10–1.87

0.008

1.68

1.23–2.30

0.001

Male * Grade (scaled)

1.07

0.97–1.18

0.154

1.12

1.01–1.25

0.029

Grade (scaled) * Healthcare

0.45

0.39–0.52

< 0.001

Grade (scaled) * Social

1.20

1.07–1.34

0.001

1.22

1.09–1.37

0.001

Grade (scaled) * Humanities

0.93

0.81–1.07

0.337

0.95

0.82–1.10

0.469

Random effects

\(\sigma ^2\)

3.29

3.29

\(\tau _{00}\)

1.06 School_Code

1.47 School_Code

ICC

0.24

0.31

N

1069 School_Code

1031 School_Code

Observations

22676

20669

Marginal \(R^2\)/ Conditional \(R^2\)

0.208 / 0.401

0.192 / 0.442