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Question: How much do you agree with these statements about your science lessons? - My teacher has clear answers to my questions.
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 Albania95.6%
2 Kosovo94.8%
3 North Macedonia91.8%
4 Montenegro90.5%
5 Bulgaria88.0%
6 Iran86.9%
7 Bosnia and Herzegovina86.4%
8 Georgia86.2%
9 Azerbaijan85.6%
10 Armenia85.4%
11 Morocco84.6%
12 Bahrain81.6%
13 Oman81.4%
14 Saudi Arabia79.9%
15 Portugal79.2%
16 Spain79.1%
17 Turkiye78.6%
18 Kuwait77.8%
19 Austria77.6%
20 United Arab Emirates77.4%
21 Lithuania76.0%
22 Hungary75.6%
23 Kazakhstan 75.5%
24 Serbia75.2%
25 Russian Federation74.7%
26 Malta74.3%
27 Italy74.1%
28 Qatar74.0%
29 Pakistan73.4%
30 Cyprus71.9%
31 Ireland71.1%
32 United States68.6%
33 Belgium68.3%
34 Canada67.4%
34 Chile67.4%
34 Netherlands67.4%
37 United Kingdom66.4%
38 Germany66.3%
39 Croatia66.0%
40 South Africa65.9%
41 Czech Republic65.2%
42 Slovakia65.1%
43 Norway64.0%
44 Australia63.4%
45 New Zealand63.1%
46 Latvia62.3%
47 Singapore60.6%
48 Sweden60.2%
49 Poland57.5%
50 Finland56.6%
50 Taiwan56.6%
52 France55.1%
53 Hong Kong, China54.2%
54 Philippines52.5%
55 Denmark49.7%
56 Japan44.6%
57 Republic of Korea41.3%

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 = -2.913058 X +8.319
Correlation coefficient (r)-0.459
Coefficient of determination (R2)0.211

GDP per capita (current US$)
No. of data57
Regression equation
Y = -95124.657598 X +99618.051
Correlation coefficient (r)-0.492
Coefficient of determination (R2)0.242

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -15.473360 X +89.272
Correlation coefficient (r)-0.430
Coefficient of determination (R2)0.185

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 0.987248 X +0.975
Correlation coefficient (r)0.252
Coefficient of determination (R2)0.064

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -19.036955 X +25.084
Correlation coefficient (r)-0.368
Coefficient of determination (R2)0.135