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Journal of Population Sciences

Table 7 Parameter estimates θ’s of the segmented regression models by degree course

From: An analysis of Italian university students’ performance through segmented regression models: gender differences in STEM courses

Variable

Nat

Phy

Stat

Intercept

− 3.26* (0.56)

− 1.83* (0.69)

0.60 (1.42)

Gender (female)

   

Male

− 1.56* (0.55)

− 0.59 (0.74)

− 2.04 (1.63)

CU male

0.04* (0.01)

− 0.06 (0.04)

− 0.11 (0.14)

CU female

0.00 (0.01)

− 0.12* (0.05)

− 0.15 (0.16)

HSdiploma (other “liceo”)

   

Scientific

− 0.02 (0.20)

0.07 (0.31)

− 0.79 (0.60)

Classical

0.06 (0.25)

− 0.09 (0.35)

− 0.55 (0.75)

Technical

− 0.22 (0.25)

− 1.24* (0.61)

− 0.73 (0.61)

Vocational

− 0.04 (0.37)

− 0.62 (0.89)

− 0.38 (1.24)

Abroad/other

− 0.64 (0.65)

0.07 (1.09)

2.11 (1.34)

Age (≤19)

   

>19

− 0.39* (0.13)

− 0.68* (0.2)

− 0.86* (0.27)

Macro-region (Islands)

   

North

0.40* (0.18)

0.64* (0.27)

− 1.02 (0.65)

Center

0.19 (0.19)

0.23 (0.28)

− 1.32 (0.69)

South

− 0.13 (0.20)

0.01 (0.30)

− 2.51* (0.73)

HS final mark (60)

0.03* (0.01)

0.01* (0.01)

0.01 (0.01)

HSdiploma x Gender (female)

   

Scientific

0.46 (0.44)

− 0.32 (0.61)

1.83 (1.10)

Classical

1.05* (0.53)

0.39 (0.67)

1.24 (1.30)

Technical

0.39 (0.47)

0.48 (0.82)

0.77 (1.12)

Vocational

0.15 (0.62)

0.50 (1.12)

0.91 (1.67)

Abroad/other

0.90 (0.93)

0.16 (1.47)

23.02 (598.91)

  1. Baselines are in brackets. Cohort of freshmen enrolled in 2014. Natural Sciences, physics and statistics. The asterisk indicates a corresponding p-value <0.05. Standard errors are in brackets