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Question: How do you rate the usefulness of the following strategies for understanding and memorising the text? - I summarise the text in my own words.
Choices: 1 "Not useful at all" - 6 "Very useful"
Data: Average score
Period:
Area:
38 countries/ areas
Highlight:
1 Spain4.52
2 Republic of Korea4.49
3 Italy4.37
4 Japan4.29
5 Hungary4.23
5 Slovenia4.23
7 Turkiye4.22
8 France4.21
9 Chile4.19
10 Costa Rica4.16
10 Estonia4.16
10 Greece4.16
10 Poland4.16
14 Ireland4.13
15 Mexico4.10
16 Switzerland4.02
17 Portugal4.01
18 Latvia3.97
19 Lithuania3.96
20 United Kingdom3.93
21 Denmark3.90
22 United States3.89
23 Germany3.88
24 Colombia3.87
24 Slovakia3.87
26 New Zealand3.85
27 Australia3.84
28 Sweden3.83
29 Czech Republic3.82
30 Austria3.81
30 Belgium3.81
32 Canada3.78
33 Luxembourg3.76
34 Norway3.69
35 Finland 3.68
36 Netherlands3.58
37 Iceland3.56
38 Israel3.55

Note
The data of Azerbaijan are collected only in Baku. The data of China are collected only in Beijing, Shanghai, Jiangsu, and Zhejiang.

Source
OECD PISA 2018 Compendia

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data38
Regression equation
Y = -1.500797 X +12.668
Correlation coefficient (r)-0.644
Coefficient of determination (R2)0.415

GDP per capita (current US$)
No. of data38
Regression equation
Y = -54964.412577 X +263693.479
Correlation coefficient (r)-0.468
Coefficient of determination (R2)0.219

Life expectancy at birth - Both sexes (years)
No. of data38
Regression equation
Y = -1.638571 X +86.384
Correlation coefficient (r)-0.108
Coefficient of determination (R2)0.012

Fertility rate, total (births per woman)
No. of data38
Regression equation
Y = -0.642103 X +4.147
Correlation coefficient (r)-0.499
Coefficient of determination (R2)0.249

Suicide, age-standardized (per 100 000 population)
No. of data38
Regression equation
Y = -0.399094 X +11.451
Correlation coefficient (r)-0.024
Coefficient of determination (R2)0.001