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Question: How much do you agree with these statements about your science lessons? - I know what my teacher expects me to do.
Choices: "Agree a lot" "Agree a little" "Disagree a little" "Disagree a lot"
Data: % of "Agree a lot"
Period:
Area:
57 countries/ areas
Highlight:
1 Albania83.2%
2 Montenegro82.9%
3 North Macedonia76.9%
4 Bulgaria76.0%
5 Bosnia and Herzegovina74.5%
6 Kosovo74.4%
7 Iran74.2%
8 Pakistan 71.5%
9 South Africa71.0%
10 Armenia70.8%
11 Hungary70.4%
12 United States69.9%
13 Kuwait68.7%
14 Bahrain68.6%
15 Oman67.4%
16 Qatar67.2%
16 United Arab Emirates67.2%
18 Azerbaijan65.3%
19 Saudi Arabia64.8%
20 Portugal63.4%
21 Serbia63.3%
22 Georgia62.7%
23 Canada62.2%
24 Morocco61.6%
25 Taiwan60.8%
26 Australia60.4%
27 Turkiye60.3%
28 Malta59.3%
29 Cyprus57.6%
30 Austria57.0%
31 Chile56.3%
32 United Kingdom55.6%
33 Poland54.5%
33 Spain54.5%
35 New Zealand52.8%
35 Philippines52.8%
37 Singapore52.4%
38 Lithuania51.7%
38 Slovakia51.7%
40 Croatia50.0%
41 Czech Republic49.5%
41 Kazakhstan49.5%
43 Netherlands49.3%
44 Hong Kong, China48.3%
45 Italy48.1%
46 Ireland47.3%
47 Germany46.8%
48 Russian Federation45.5%
49 Norway45.3%
50 Belgium44.9%
51 France44.8%
52 Latvia39.8%
53 Sweden36.4%
54 Finland32.7%
55 Denmark25.8%
56 Japan12.4%
57 Republic of Korea12.2%

Note
Belgium: The Flemish Community only. United Kingdom: England only.

No data for 181 countries.

Source
TIMSS 2019 > International Database > TIMSS 2019 Data Almanacs - Grade 4

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data55
Regression equation
Y = -2.409366 X +7.603
Correlation coefficient (r)-0.457
Coefficient of determination (R2)0.209

GDP per capita (current US$)
No. of data57
Regression equation
Y = -70939.911476 X +71908.991
Correlation coefficient (r)-0.443
Coefficient of determination (R2)0.196

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -14.568074 X +86.437
Correlation coefficient (r)-0.495
Coefficient of determination (R2)0.245

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 1.002592 X +1.114
Correlation coefficient (r)0.312
Coefficient of determination (R2)0.097

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -16.843469 X +20.973
Correlation coefficient (r)-0.413
Coefficient of determination (R2)0.171