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Table 2 Factors influencing mathematics capability, multilevel linear regression

From: Gender in mathematics: how gender role perception influences mathematical capability in junior high school

Variable

Male students (1)

Female students (2)

(1A)

(1B)

(1C)

(2A)

(2B)

(2C)

Students agree that “men are better at mathematics”

0.048*

(0.019)

0.017

(0.026)

0.048*

(0.019)

 − 0.054**

(0.019)

 − 0.021

(0.025)

 − 0.054**

(0.019)

Parents agree that “men are better at mathematics”

0.060**

(0.019)

0.060**

(0.019)

0.043+

(0.025)

 − 0.041*

(0.019)

 − 0.041*

(0.019)

 − 0.013

(0.025)

Male classmates: average stereotype

0.377**

(0.091)

0.377**

(0.091)

0.376**

(0.091)

0.194*

(0.087)

0.192*

(0.087)

0.193*

(0.087)

Female classmates: average stereotype

 − 0.053

(0.073)

 − 0.051

(0.073)

 − 0.052

(0.073)

 − 0.011

(0.070)

 − 0.011

(0.070)

 − 0.011

(0.070)

School: teacher average stereotype

0.045

(0.077)

0.045

(0.077)

0.045

(0.077)

0.052

(0.073)

0.052

(0.073)

0.051

(0.073)

The math teacher is female

0.034+

(0.019)

0.033+

(0.019)

0.034+

(0.019)

0.047**

(0.018)

0.048**

(0.018)

0.048**

(0.018)

Length of junior high school

0.022**

(0.001)

0.021**

(0.001)

0.022**

(0.001)

0.022**

(0.001)

0.023**

(0.001)

0.023**

(0.001)

Length of junior high school × stereotype of students

 

0.002+

(0.001)

  

 − 0.002*

(0.001)

 

Length of junior high school × stereotype of parents

  

0.001

(0.001)

  

 − 0.002+

(0.001)

School: socioeconomic status

1.123**

(0.197)

1.124**

(0.197)

1.123**

(0.197)

0.943**

(0.185)

0.942**

(0.185)

0.943**

(0.185)

  1. (1) Standard deviation in brackets, (2) **P < 0.01, *P < 0.05, +P < 0.1, (3) Sample size information is in the descriptive statistics