OECD PISA reading and math data for 38 countries

\magnification 1300\nopagenumbers\parindent 0pt {\tt OECD38.rdata} is an R .rdata file. It contains all reading and math PISA data for boys and girls for the 38 OECD countries through 2022. \centerline{\tt v<-as.numeric(matout2022r[38,2:5])} returns in {\tt v} \centerline{[1] 493 515 115 106} the U.S. PISA 2022 reading data, with boys' mean 493, girls' mean 515 and their corresponding standard deviations. \centerline{\tt v<-as.numeric(matout2022m[25,2:5])} gives the math PISA scores for Mexico in 2022. If {\tt v} is a reading vector when {\tt readgap3()} will return parameter estimates in {\tt pv} and {\tt gv}: $\hat q$, $\hat\mu_2-\hat\mu_1$ {\tt= md = m2 - m1}, $\hat\sigma^2$ {\tt = v(N)}, then the X-linked variance estimates for boys and girls, and their corresponding heritabilities. Finally the estimated total variances, which in the present case, are just their empirical values. \smallskip For math use {\tt mathgap2()} similarly. Estimation requires {\tt v} satisfy $ro$ or $mo$ the reading and math inequality orders. \bigskip Please see \centerline{\tt https://doi.org/10.1007/978-3-031-41272-1} for model and estimation details. \bye