Vera Maya Santi|Khairil Anwar Notodiputro|Indahwati Indahwati|Bagus Sartono
RESTRICTED MAXIMUM LIKELIHOOD ESTIMATION FOR MULTIVARIATE LINEAR MIXED MODEL IN ANALYZING PISA DATA FOR INDONESIAN STUDENTS
State University of Jakarta|IPB University|IPB University|IPB University
program international student assessment pisa becomes one references indicators used assess development students knowledge skills member country organization economic cooperation development oecd results pisa survey 2018 placed indonesia bottom 10 indicating implementation national education system successful underlies need indepth study factors influence pisa data scores statistically qualitatively also quantitatively still rarely done data structure pisa survey results complex involves multicollinearity multivariate response variables random effects thus requires appropriate statistical analysis method multivariate mixed linear regression mlmm model study secondary data results 2018 pisa survey indonesian students smallest unit observation used sample school used intercept random effect assumed normally distributed multicollinearity overcome selecting independent variables based aic bic values estimation variance random effect parameters performed using restricted maximum likelihood reml method based estimator variance random effects response variables mathematics science reading literacy obtained 154812 135939 108248 respectively explains significant effect school random effect three response variables