Helen Gray|Andrew Lyth|Catherine McKenna|Susan E. Stothard|Peter Tymms|Lee Copping
Sex differences in variability across nations in reading, mathematics and science: a meta-analytic extension of Baye and Monseur (2016)
Durham University|Durham University|Durham University|Newcastle College|Durham University|Teesside University
recent study baye monseur large scale assess educ 4116 2016 using large international educational data sets suggest greater male variation hypothesis well supported males often overrepresented tails ability distribution despite similarity measures central tendency gradual closing attainment gap relative females study replicate expand baye monseurs work explore greater male variability country using metaanalysis metaregression broadly confirm variability greater males internationally find significant heterogeneity countries much quantified using variables applicable across assessments test year malefemale effect size mean country score global gender gap indicators still possible make causal conclusions regarding males varied females academic assessments possible show national level variables effect magnitude variation results suggestions work discussed