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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? - I read through the text, underlining the most important sentences. Then I write them in my own words as a summary.
Choices: 1 "Not useful at all" - 6 "Very useful"
Data: Average score
Period:
Area:
77 countries/ areas
Highlight:
1 China5.05
2 Viet Nam4.78
3 Singapore4.64
4 Republic of Korea4.61
5 Turkiye4.54
6 Portugal4.50
6 Spain4.50
8 Brunei Darussalam4.46
9 Italy4.44
10 Indonesia4.43
10 Peru4.43
12 Albania4.41
12 Mexico4.41
12 Saudi Arabia4.41
15 Ireland4.40
15 Japan 4.40
17 Malaysia4.39
18 United Arab Emirates4.33
19 Greece4.32
20 Hungary4.30
20 Jordan4.30
22 Germany4.27
23 Estonia4.25
24 Russian Federation4.24
25 Belarus4.23
25 Kazakhstan4.23
25 Switzerland4.23
28 Chile4.18
28 Ukraine4.18
28 United Kingdom4.18
31 Costa Rica4.17
32 Croatia4.15
33 Austria4.12
33 Kosovo4.12
35 United States4.11
36 Malta4.09
37 Argentina4.08
38 France4.07
38 Romania4.07
40 Poland4.05
41 Cyprus4.04
42 Thailand4.03
43 Australia4.01
44 Morocco4.00
44 New Zealand4.00
44 Slovenia4.00
47 Philippines3.99
48 Luxembourg3.97
49 Macao, China3.96
50 Denmark3.94
51 Bosnia and Herzegovina3.92
51 Finland3.92
51 Latvia3.92
54 Belgium3.90
55 Panama3.88
56 Canada3.87
56 Hong Kong, China3.87
56 Israel3.87
56 Lithuania3.87
56 Sweden3.87
61 Taiwan3.82
62 Colombia3.81
63 Qatar3.78
64 Montenegro3.77
65 Norway3.68
66 Serbia3.66
67 Uruguay3.64
68 Georgia3.62
69 Netherlands3.60
70 Brazil3.59
70 Bulgaria3.59
70 Czech Republic3.59
73 Slovakia3.58
74 Moldova3.57
75 Iceland3.56
76 Dominican Republic3.33
77 Azerbaijan3.32

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 data73
Regression equation
Y = -0.256360 X +7.348
Correlation coefficient (r)-0.124
Coefficient of determination (R2)0.015

GDP per capita (current US$)
No. of data77
Regression equation
Y = -4113.690424 X +48436.269
Correlation coefficient (r)-0.050
Coefficient of determination (R2)0.003

Life expectancy at birth - Both sexes (years)
No. of data76
Regression equation
Y = 1.796236 X +70.120
Correlation coefficient (r)0.126
Coefficient of determination (R2)0.016

Fertility rate, total (births per woman)
No. of data76
Regression equation
Y = -0.150559 X +2.280
Correlation coefficient (r)-0.114
Coefficient of determination (R2)0.013

Suicide, age-standardized (per 100 000 population)
No. of data73
Regression equation
Y = -1.503646 X +15.107
Correlation coefficient (r)-0.108
Coefficient of determination (R2)0.012