{"title":"Conditioning: how background variables can influence PISA scores","authors":"Laura Zieger, John Jerrim, Jake Anders, N. Shure","doi":"10.1080/0969594X.2022.2118665","DOIUrl":null,"url":null,"abstract":"ABSTRACT The OECD’s Programme for International Student Assessment (PISA) has become one of the key studies for evidence-based education policymaking across the globe. PISA has however received a lot of methodological criticism, including how the test scores are created. The aim of this paper is to investigate the so-called ‘conditioning model’, where background variables are used to derive student achievement scores, and the impact it has upon the PISA results. This includes varying the background variables used within the conditioning model and analysing its impact upon countries relatively positions in the PISA rankings. Our key finding is that the exact specification of the conditioning model matters; cross-country comparisons of PISA scores can change depending upon the statistical methodology used.","PeriodicalId":51515,"journal":{"name":"Assessment in Education-Principles Policy & Practice","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2022-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Assessment in Education-Principles Policy & Practice","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/0969594X.2022.2118665","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 4
Abstract
ABSTRACT The OECD’s Programme for International Student Assessment (PISA) has become one of the key studies for evidence-based education policymaking across the globe. PISA has however received a lot of methodological criticism, including how the test scores are created. The aim of this paper is to investigate the so-called ‘conditioning model’, where background variables are used to derive student achievement scores, and the impact it has upon the PISA results. This includes varying the background variables used within the conditioning model and analysing its impact upon countries relatively positions in the PISA rankings. Our key finding is that the exact specification of the conditioning model matters; cross-country comparisons of PISA scores can change depending upon the statistical methodology used.
期刊介绍:
Recent decades have witnessed significant developments in the field of educational assessment. New approaches to the assessment of student achievement have been complemented by the increasing prominence of educational assessment as a policy issue. In particular, there has been a growth of interest in modes of assessment that promote, as well as measure, standards and quality. These have profound implications for individual learners, institutions and the educational system itself. Assessment in Education provides a focus for scholarly output in the field of assessment. The journal is explicitly international in focus and encourages contributions from a wide range of assessment systems and cultures. The journal''s intention is to explore both commonalities and differences in policy and practice.