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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 Japan4.40
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 Finland 3.92
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 data74
Regression equation
Y = -0.432635 X +8.034
Correlation coefficient (r)-0.193
Coefficient of determination (R2)0.037

GDP per capita (current US$)
No. of data77
Regression equation
Y = -3030.488202 X +43156.147
Correlation coefficient (r)-0.038
Coefficient of determination (R2)0.001

Life expectancy at birth - Both sexes (years)
No. of data76
Regression equation
Y = 0.976506 X +74.384
Correlation coefficient (r)0.086
Coefficient of determination (R2)0.007

Fertility rate, total (births per woman)
No. of data76
Regression equation
Y = -0.048552 X +1.876
Correlation coefficient (r)-0.039
Coefficient of determination (R2)0.002

Suicide - all ages (per 100,000 population)
No. of data73
Regression equation
Y = -1.605229 X +17.520
Correlation coefficient (r)-0.089
Coefficient of determination (R2)0.008