Skip to main content

An IERI – International Educational Research Institute Journal

Table 6 Logistic regression coefficients explaining the probabilities of profile membership

From: Identifying profiles of students’ school climate perceptions using PISA 2015 data

Predictors

B

SE

p-value

OR

Profile 1 vs. 2

 Gender (1 = Girl, 0 = Boy)

− 0.799

0.124

0.000

0.45

 First-generation immigration status

0.762

0.241

0.002

2.14

 Second-generation immigration status

− 0.063

0.277

0.821

0.94

 ESCS

− 0.002

0.094

0.985

1.00

Profile 1 vs. 3

 Gender (1 = Girl, 0 = Boy)

− 0.583

0.117

0.000

0.56

 First-generation immigration status

0.595

0.211

0.005

1.81

 Second-generation immigration status

− 0.255

0.256

0.320

0.77

 ESCS

− 0.048

0.084

0.568

0.95

Profile 2 vs. 3

 Gender (1 = Girl, 0 = Boy)

0.220

0.071

0.002

1.24

 First-generation immigration status

− 0.170

0.167

0.317

0.85

 Second-generation immigration status

− 0.190

0.165

0.244

0.83

 ESCS

− 0.050

0.049

0.347

0.96

  1. The unstandardized regression coefficients are shown. Immigration status was dummy-coded based on the original PISA 2015 coding (0 = Native student, 1 = Second-generation immigration status, 2 = First-generation immigration status)
  2. ESCS index of economic, social, and cultural status, OR odds ratio