Efficiency Analysis with Educational Data: How to Deal with Plausible Values from International Large-Scale Assessments

International large-scale assessments (ILSAs) provide several measures as a representation of educational outcomes, the so-called plausible values, which are frequently interpreted ability range students. In this paper, we focus on how information should be incorporated into estimation efficiency student or school performance using data envelopment analysis (DEA). Thus far, previous studies that have adopted approach from ILSAs used only one available values an average all them. We propose based fuzzy DEA, allows us to consider whole distribution results proxy abilities. To assess extent our proposal offers similar those obtained in studies, empirical example PISA 2015. Our suggest estimated DEA strongly correlated with calculated just value measure. Therefore, conclude decide upon these options do not seem making significant error their estimates.