NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Kaplan, David; Huang, Mingya – Large-scale Assessments in Education, 2021
Of critical importance to education policy is monitoring trends in education outcomes over time. In the United States, the National Assessment of Educational Progress (NAEP) has provided long-term trend data since 1970; at the state/jurisdiction level, NAEP has provided long-term trend data since 1996. In addition to the national NAEP, all 50…
Descriptors: Educational Policy, Educational Trends, National Competency Tests, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Gurkan, Gulsah; Benjamini, Yoav; Braun, Henry – Large-scale Assessments in Education, 2021
Employing nested sequences of models is a common practice when exploring the extent to which one set of variables mediates the impact of another set. Such an analysis in the context of logistic regression models confronts two challenges: (1) direct comparisons of coefficients across models are generally biased due to the changes in scale that…
Descriptors: Statistical Inference, Regression (Statistics), Adults, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Kaplan, David; McCarty, Alyn Turner – Large-scale Assessments in Education, 2013
Background: In the context of international large scale assessments, it is often not feasible to implement a complete survey of all relevant populations. For example, the OECD Program for International Student Assessment surveys both students and schools, but does not obtain information from teachers. In contrast the OECD Teaching and Learning…
Descriptors: Measurement, International Assessment, Student Surveys, Teacher Surveys