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Table 3 Descriptive statistics and t-test for all variables by gender

From: Gender differences in high school students’ interest in STEM careers: a multi-group comparison based on structural equation model

Construct/sub-construct

Full sample

(N = 1132)

M ± SD

Male

(N = 549)

M ± SD

Female

(N = 583)

M ± SD

t

p

d

Environmental factors (EF)

2.89 ± 0.75

3.00 ± 0.78

2.79 ± 0.71

4.56

***

0.281

Formal learning experiences (FLE)

3.25 ± 0.89

3.31 ± 0.92

3.20 ± 0.85

2.08

0.038*

0.124

Informal learning experiences (ILE)

2.04 ± 0.89

2.12 ± 0.94

1.96 ± 0.82

3.06

0.002**

0.181

Social support (SS)

2.83 ± 0.97

2.91 ± 1.01

2.76 ± 0.93

2.52

0.012*

0.155

Media

3.45 ± 0.99

3.65 ± 0.98

3.26 ± 0.96

6.84

***

0.402

STEM self-efficacy (SSE)

3.49 ± 0.74

3.65 ± 0.73

3.34 ± 0.73

7.29

***

0.425

Science self-efficacy

3.13 ± 0.90

3.33 ± 0.89

2.95 ± 0.87

7.21

***

0.432

Technology self-efficacy

4.25 ± 0.80

4.33 ± 0.80

4.18 ± 0.80

3.02

0.003**

0.188

Engineering self-efficacy

3.28 ± 1.05

3.49 ± 1.04

3.08 ± 1.02

6.65

***

0.398

Mathematics self-efficacy

3.22 ± 0.90

3.41 ± 0.90

3.03 ± 0.86

7.34

***

0.432

STEM careers perceptions (SCP)

4.03 ± 0.71

4.03 ± 0.75

4.04 ± 0.68

− 0.22

0.826

− 0.014

Careers prospects

3.67 ± 0.81

3.66 ± 0.82

3.67 ± 0.80

− 0.22

0.824

− 0.012

Skills required skills

4.32 ± 0.81

4.31 ± 0.86

4.32 ± 0.75

− 0.33

0.743

− 0.012

Self-development

4.22 ± 0.85

4.24 ± 0.89

4.21 ± 0.81

0.47

0.635

0.035

Interest in STEM careers (ISC)

3.16 ± 1.12

3.39 ± 1.12

2.95 ± 1.08

6.72

***

0.399

  1. ***p < .001; **p < .01; *p < .05. d means Cohen’ d; d > .2 means small effect size; d > .5 means medium effect size; d > .8 means large effect size