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A Bayesian Workflow for the Analysis and Reporting of International Large-Scale Assessments: A Case Study Using the OECD Teaching and Learning International Survey
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David Kaplan; Kjorte Harra – Large-scale Assessments in Education, 2024
This paper aims to showcase the value of implementing a Bayesian framework to analyze and report results from international large-scale assessments and provide guidance to users who want to analyse ILSA data using this approach. The motivation for this paper stems from the recognition that Bayesian statistical inference is fast becoming a popular…
Descriptors: Bayesian Statistics, Administrator Surveys, Teacher Surveys, Measurement
Evaluating Uncertainty: The Impact of the Sampling and Assessment Design on Statistical Inference in the Context of ILSA
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Diego Cortes; Dirk Hastedt; Sabine Meinck – Large-scale Assessments in Education, 2025
This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies. We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingfrom the…
Descriptors: Sampling, Research Design, Educational Assessment, Statistical Inference
The Effect of Grade Retention on Performance in Spanish Students: A Propensity Score Matching Approach
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Jaime León; Fernando Martínez-Abad – Large-scale Assessments in Education, 2025
Background: Grade retention is an educational aspect that concerns teachers, families, and experts. It implies an economic cost for families, as well as a personal cost for the student, who is forced to study one more year. The objective of the study was to evaluate the effect of course repetition on math, science and reading competencies, and…
Descriptors: Grade Repetition, Academic Achievement, Scores, Foreign Countries