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Large-scale Assessments in Education

An IERI – International Educational Research Institute Journal

Table 4 Percentage of categorical variables (%) for TIMSS 2011 to 2019

From: Equity in mathematics education in Hong Kong: evidence from TIMSS 2011 to 2019

  

G4

G8

1

2

3

4

5

1

2

3

4

5

2011

Gender

46.8

53.2

   

49.7

50.3

   

PARED

11.1

23.8

39.8

8.1

17.1

7.9

20.7

45.2

6.1

20.1

BOOK

13.9

24.7

36.4

14.9

10.2

18.5

24.9

31.8

13.0

11.8

DESK

26.2

73.8

   

21.8

78.2

   

ROOM

40.2

59.8

   

41.3

58.7

   

COMPUTER

1.4

98.6

   

0.6

99.4

   

INTERNET

7.2

92.8

   

2.3

97.7

   

Urban†

46.9

47.8

   

45.3

47.1

   

2015

Gender

44.9

55.1

   

47.5

52.5

   

PARED

7.3

11.8

32.2

16.9

31.8

5.4

14.3

43.2

14.0

23.1

BOOK

12.8

19.9

33.8

18.5

14.9

17.5

26.7

31.5

12.8

11.5

DESK

29.6

70.4

   

24.6

75.4

   

ROOM

42.4

57.6

   

40.8

59.2

   

COMPUTER#

4.9

95.1

   

2.3

97.7

   

INTERNET

26.9

73.1

   

4.1

95.9

   

Urban†

40.1

59.1

   

48.6

45.8

   

2019

Gender

46.6

53.4

   

45.6

54.4

   

PARED

4.9

9.7

26.7

19.1

39.6

3.5

10.8

40.3

13.8

31.6

BOOK

15.4

19.7

30.0

18.6

17.3

19.3

26.0

28.3

13.4

13.0

DESK

16.7

83.3

   

12.4

87.6

   

ROOM

38.0

62.0

   

34.5

65.5

   

COMPUTER

4.3

95.7

   

4.1

95.9

   

INTERNET

18.7

81.3

   

2.7

97.3

   

Urban†

46.0

53.2

   

41.9

57.4

   
  1. PARED: Parents’ highest education level; BOOK: Number of books in the home; DESK: Own study desk in the home; ROOM: Has own room in the home; COMPUTER: Own computer for study in the home; INTERNET: Has internet connection in the home. Descriptions of categories of variables can be found in Additional file 1: Appendix A
  2. #There were two variables measuring the possession of computers for study in the home in the 2015 cycle, one for own computers and the other for shared computers, whereas there was only one single variable in the cycles of 2011 and 2019. To be consistent across cycles, the two variables in the 2015 cycle were recoded into one variable with 1 = possess own or shared computers, and 0 = possess neither computers
  3. †The sum of percentages for the urban variable was not equal to 100% because of missing data
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