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Collaborative Problem Solving: Gender


Female-Male Score Gap

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Figure CPS4b. Difference in average scores of 15-year-old male and female students on the PISA collaborative problem solving scale, by education system: 2015

Difference in average scores of 15-year-old female and male students on the PISA collaborative problem solving scale, by education system: 2015
Male-female difference in average collaborative problem solving scores is statistically significant at the .05 level of significance. Male-female difference in average collaborative problem solving scores is statistically significant at the .05 level of significance.
! Interpret data with caution. Estimate is unstable due to high coefficient of variation (>30 and ≤50 percent).
NOTE: Education systems are ordered by absolute male-female difference in 2015 average score from smallest to largest. Differences were computed using unrounded numbers. Scores are reported on a scale from 0 to 1,000. The OECD average is the average of the national average score differences of the 32 OECD member countries that participated in the collaborative problem solving assessment, with each system weighted equally. Standard error is noted by s.e. Italics indicate non-OECD countries and education systems. B-S-J-G (China) refers to the four PISA participating China provinces: Beijing, Shanghai, Jiangsu, and Guangdong. Malaysia administered the collaborative problem solving assessment but due to sampling issues its data were deemed not comparable and thus are not shown here. Results for Massachusetts and North Carolina are for public school students only. The average scores and standard errors are shown in table CPS4a.
SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA), 2015.


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Table CPS4a. Average scores and difference in average scores of 15-year-old male and female students on the PISA collaborative problem solving scale, by education system: 2015
Education system Average score   Male-female
score difference
  s.e.
Male s.e.   Female s.e.    
OECD average 486 0.6   515 0.5   -29 * 0.6
Peru 414 2.8   421 3.0   -7 !* 3.0
Costa Rica 437 2.8   445 2.7   -7 !* 2.7
Colombia 425 2.9   433 2.7   -8 !* 3.3
Tunisia 375 2.3   387 2.3   -12 * 2.4
Mexico 426 2.9   440 2.7   -14 * 2.9
Chile 450 3.1   464 3.1   -14 * 3.0
Uruguay 434 3.3   451 2.7   -17 * 3.9
Brazil 402 2.5   421 2.6   -18 * 2.3
Portugal 489 3.2   507 2.7   -19 * 2.8
Singapore 552 1.7   572 2.1   -20 * 2.9
Denmark 509 2.9   530 3.3   -21 * 3.5
B-S-J-G (China) 486 3.9   508 4.6   -22 * 3.2
Israel 459 4.3   481 4.7   -22 * 5.4
Spain 485 2.7   508 2.6   -22 * 3.0
Turkey 411 4.0   434 4.1   -23 * 4.3
Italy 466 3.4   489 3.4   -23 * 4.5
Austria 498 3.4   521 3.4   -24 * 4.4
Belgium 489 3.0   514 2.9   -25 * 3.7
Luxembourg 478 2.5   504 1.9   -25 * 3.3
Russian Federation 460 3.8   486 3.9   -25 * 3.9
Hungary 459 3.3   485 2.8   -26 * 4.1
United States 507 4.4   533 4.0   -26 * 4.3
Czech Republic 486 2.9   512 2.7   -26 * 3.6
Montenegro, Republic of 403 1.8   429 2.0   -26 * 2.9
Japan 539 3.6   565 2.6   -26 * 3.7
Estonia 522 2.9   549 2.7   -27 * 2.8
Croatia 459 3.3   486 2.6   -27 * 3.3
Iceland 485 3.0   512 2.6   -27 * 3.4
Netherlands 504 3.0   531 2.8   -27 * 3.3
Chinese Taipei 513 3.4   541 3.4   -28 * 4.9
Lithuania 453 2.9   482 2.8   -29 * 3.1
France 480 3.4   508 2.8   -29 * 3.9
Germany 510 3.4   540 3.0   -30 * 3.2
Slovak Republic 448 2.8   478 3.4   -30 * 4.2
Norway 487 3.0   518 3.2   -30 * 3.7
Greece 444 4.2   475 3.7   -31 * 3.7
Bulgaria 429 4.6   461 3.9   -31 * 4.2
Korea, Republic of 522 3.5   556 3.3   -33 * 4.4
United Kingdom 503 3.1   536 3.3   -34 * 3.5
Thailand 416 4.1   451 3.6   -35 * 3.6
Hong Kong (China) 523 3.7   559 3.4   -36 * 4.4
Slovenia 484 2.2   521 2.2   -36 * 2.6
United Arab Emirates 416 2.9   454 3.1   -38 * 4.1
Macau (China) 515 1.9   553 2.0   -38 * 2.9
Canada 516 2.8   555 2.4   -39 * 2.6
Cyprus 424 2.0   464 2.2   -40 * 2.4
Latvia 465 2.6   505 2.9   -40 * 3.2
New Zealand 513 3.2   553 3.0   -41 * 3.8
Australia 511 2.5   552 2.5   -41 * 3.1
Sweden 489 4.0   531 3.8   -42 * 3.9
Finland 511 3.2   559 3.0   -48 * 3.6
                   
U.S. state education systems                  
Massachusetts 536 6.4   562 7.8   -26 * 7.1
North Carolina 509 5.2   540 6.3   -31 * 4.8
! Interpret data with caution. Estimate is unstable due to high coefficient of variation (>30 and ≤50 percent).
* p<.05. Male-female score difference is significantly different at the .05 level of statistical significance.
NOTE: Education systems are ordered by absolute male-female difference in 2015 average score from smallest to largest. Differences were computed using unrounded numbers. Scores are reported on a scale from 0 to 1,000. The OECD average is the average of the national average score differences of the 32 OECD member countries that particpated in the collaborative problem solving assessment, with each system weighted equally. Standard error is noted by s.e. Italics indicate non-OECD countries and education systems. B-S-J-G (China) refers to the four PISA participating China provinces: Beijing, Shanghai, Jiangsu, and Guangdong. Malaysia administered the collaborative problem solving assessment but due to sampling issues its data were deemed not comparable and thus are not shown here. Results for Massachusetts and North Carolina are for public school students only.
SOURCE: Organization for Economic Cooperation and Development (OECD), Program for International Student Assessment (PISA), 2015.