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An IERI – International Educational Research Institute Journal

Table 2 Description of the different variables

From: Multiple imputation using chained equations for missing data in TIMSS: a case study

Variable

Type of variable

Description

Age

Continuous

 

Number of books (Books)

Ordinal

Five categories:

1 Less than one shelf

2 One shelf

3 One bookcase

4 Two bookcases

5 Three or more bookcases

Possessing calculator (Calculator)

Binary

Two categories:

1 Yes

0 Otherwise

Possessing computer (Computer)

Binary

Two categories:

1 Yes

0 Otherwise

Possessing study desk (Desk)

Binary

Two categories:

1 Yes

0 Otherwise

Possessing a dictionary (Dictionary)

Binary

Two categories:

1 Yes

0 Otherwise

Possessing internet connection (Internet_connection)

Binary

2 Two categories:

1 Yes

0 Otherwise

Parents’ highest education level (Parents’_highest_ed_level)

Ordinal

Five categories:

1 University degree

2 Completed postsecondary but not university

3 Completed upper-secondary education

4 Completed lower-secondary education

5 Less than lower-secondary education

Parents born in country (Parents_born_country)

Nominal

Three categories:

1 Both parents born in country

2 Only one parent born in country

3 Neither parent born in country

Gender of student (Female)

Binary

Two categories:

1 Female

0 Male

Spend time work on paid jobs (Work_paid_job)

Ordinal

Five categories:

1 No time

2 Less than one hour

3 One to two hours

4 More than two hours but less than four/

5 Four or more hours

Index of availability of mathematics resources (Index_math_ress)

Ordinal

Three categories:

1 High

2 Medium

3 Low

First plausible value in mathematics (BSMMAT01)

Continuous

 

First plausible value in science (BSSSCI01)

Continuous