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An IERI – International Educational Research Institute Journal

Table 1 Descriptive statistics: variable of interest and controls

From: The effect of the COVID-19 disruption on the gender gap in students’ performance: a cross-country analysis

Variables' names

Description

Survey REDS code

N. observations

Possible values

Mean

female

Student's gender

IS1G32

11,957

Binary: 1 (female); 0 (male)

0.504

ses

Student's socioeconomic status. The value is provided by IEA and is based on information about the number of books at home, parents' educational level, spoken language at home, parents' employment and type of job, material goods and commodities

SES_irt

11,825

Continuous: overall international average of 50; standard deviation of 10 points on the scale

50.194 (0.282)

age

Student's age

ASDAGE

11,965

Continuous, ranging between 10 and 18

14.476 (0.011)

lang_istr

The variable indicates if the language spoken at home by the student is the same of the language of instruction

IS1G34

11,743

Binary: 1(as the language of instruction); 0 (different from the language of instruction)

0.907

he_parents

The variable indicates if at least one parent has obtained a higher education degree (ISCED level 6, 7 or 8)

IS1G38

11,633

Binary: 1(at least one parent with higher education); 0 (both parents without higher education)

0.463

  1. Means refer to the total sample with survey weights and 75 Jackknife replications. Jackknife standard error in parenthesis (only for continuous variables)