Tweet
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 carefully check whether the most important facts in the text are represented in the summary.
Choices: 1 "Not useful at all" - 6 "Very useful"
Data: Average score
Period:
Area:
77 countries/ areas
Highlight:
1 China4.86
2 Viet Nam4.68
3 Singapore4.57
4 Republic of Korea4.56
5 Portugal4.55
6 Moldova4.52
7 Ukraine4.50
8 Ireland4.47
9 Spain4.46
10 Brunei Darussalam4.43
11 Italy4.42
12 Estonia4.40
12 Mexico4.40
14 Romania4.39
15 Chile4.33
16 France4.32
16 Indonesia4.32
16 Saudi Arabia4.32
16 Turkiye4.32
20 Germany4.31
21 Poland4.30
22 Switzerland4.28
23 Hungary4.27
23 Japan4.27
23 Malaysia4.27
26 Peru4.26
27 Greece4.25
28 United Arab Emirates4.23
28 United States4.23
30 Austria4.22
31 Belarus4.20
32 Jordan4.18
33 Croatia4.17
33 Finland4.17
33 Kazakhstan4.17
33 Malta4.17
37 Canada4.13
38 New Zealand4.12
38 Russian Federation4.12
40 Albania4.11
41 Australia4.09
41 Lithuania4.09
43 Denmark4.08
43 United Kingdom4.08
45 Argentina4.07
45 Luxembourg4.07
45 Sweden4.07
48 Latvia4.06
49 Costa Rica4.04
50 Belgium4.00
50 Kosovo4.00
52 Slovenia3.98
53 Philippines3.93
54 Taiwan3.92
55 Norway3.89
56 Macao, China3.88
57 Colombia3.87
57 Hong Kong, China3.87
59 Thailand3.86
60 Bosnia and Herzegovina3.84
60 Czech Republic3.84
60 Panama3.84
63 Israel3.82
63 Morocco3.82
65 Cyprus3.81
66 Iceland3.79
67 Netherlands3.73
68 Brazil 3.71
69 Slovakia3.67
70 Qatar3.66
71 Montenegro3.63
72 Uruguay3.62
73 Bulgaria3.61
74 Georgia3.59
75 Serbia3.53
76 Dominican Republic3.36
77 Azerbaijan3.22

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 = 0.031558 X +6.143
Correlation coefficient (r)0.013
Coefficient of determination (R2)0.000

GDP per capita (current US$)
No. of data77
Regression equation
Y = 7370.811424 X +649.766
Correlation coefficient (r)0.085
Coefficient of determination (R2)0.007

Life expectancy at birth - Both sexes (years)
No. of data76
Regression equation
Y = 1.251236 X +73.237
Correlation coefficient (r)0.102
Coefficient of determination (R2)0.010

Fertility rate, total (births per woman)
No. of data76
Regression equation
Y = -0.253822 X +2.718
Correlation coefficient (r)-0.188
Coefficient of determination (R2)0.035

Suicide - all ages (per 100,000 population)
No. of data73
Regression equation
Y = 1.800019 X +3.590
Correlation coefficient (r)0.093
Coefficient of determination (R2)0.009