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Question: You have just read a long and rather difficult two-page text about fluctuations in the water level of a lake in Africa. You have to write a summary.How do you rate the usefulness of the following strategies for writing a summary of this two-page text? - Before writing the summary, I read the text as many times as possible.
Choices: 1 "Not useful at all" - 6 "Very useful"
Data: Average score
Period:
Area:
77 countries/ areas
Highlight:
1 Viet Nam4.64
2 China4.62
3 Moldova4.21
4 Republic of Korea4.15
4 Saudi Arabia4.15
6 Malaysia4.08
7 Albania4.06
8 Brunei Darussalam4.03
9 Kazakhstan3.99
10 Indonesia3.95
11 Morocco3.89
11 Romania3.89
13 United Arab Emirates3.88
14 Jordan3.86
15 Greece3.85
15 Turkiye3.85
17 Belarus 3.84
18 Thailand3.83
19 Spain3.82
19 Ukraine3.82
21 Japan3.80
22 Kosovo3.79
23 Croatia3.78
24 Philippines3.76
25 Mexico3.75
26 Portugal3.73
27 Argentina3.72
28 Peru3.71
29 Hong Kong, China3.66
30 Slovenia3.65
31 Chile3.64
32 Panama3.63
33 Macao, China3.62
34 Italy3.61
35 Singapore3.60
36 Estonia3.58
37 Ireland3.56
37 Lithuania3.56
37 Russian Federation3.56
40 Malta3.50
41 Bosnia and Herzegovina3.47
41 Costa Rica3.47
43 Taiwan3.45
44 New Zealand3.43
45 Australia3.42
45 Colombia3.42
47 United States3.41
48 Uruguay3.40
49 Brazil3.39
50 Hungary3.38
50 Montenegro3.38
52 Cyprus3.36
53 Latvia3.35
54 Qatar3.33
55 Canada3.32
55 France3.32
55 United Kingdom3.32
58 Germany3.26
59 Bulgaria3.22
60 Austria3.21
60 Finland3.21
62 Dominican Republic3.17
62 Georgia3.17
64 Luxembourg3.14
64 Slovakia3.14
64 Switzerland3.14
67 Serbia3.12
68 Israel3.11
69 Sweden3.09
70 Denmark3.07
71 Azerbaijan3.05
71 Iceland3.05
73 Norway3.03
74 Poland2.93
75 Czech Republic2.92
76 Belgium2.91
77 Netherlands2.66

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

No data for 161 countries.

Source
OECD PISA 2018 Compendia

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data74
Regression equation
Y = -1.019750 X +9.881
Correlation coefficient (r)-0.521
Coefficient of determination (R2)0.271

GDP per capita (current US$)
No. of data77
Regression equation
Y = -30783.265745 X +139897.977
Correlation coefficient (r)-0.437
Coefficient of determination (R2)0.191

Life expectancy at birth - Both sexes (years)
No. of data76
Regression equation
Y = -2.908809 X +88.672
Correlation coefficient (r)-0.293
Coefficient of determination (R2)0.086

Fertility rate, total (births per woman)
No. of data76
Regression equation
Y = 0.137397 X +1.192
Correlation coefficient (r)0.126
Coefficient of determination (R2)0.016

Suicide - all ages (per 100,000 population)
No. of data73
Regression equation
Y = -2.073620 X +18.313
Correlation coefficient (r)-0.132
Coefficient of determination (R2)0.017