{"title":"What Is Actually Equated in “Test Equating”? A Didactic Note","authors":"Wim J. van der Linden","doi":"10.3102/10769986211072308","DOIUrl":null,"url":null,"abstract":"The current literature on test equating generally defines it as the process necessary to obtain score comparability between different test forms. The definition is in contrast with Lord’s foundational paper which viewed equating as the process required to obtain comparability of measurement scale between forms. The distinction between the notions of scale and score is not trivial. The difference is explained by connecting these notions with standard statistical concepts as probability experiment, sample space, and random variable. The probability experiment underlying equating test forms with random scores immediately gives us the equating transformation as a function mapping the scale of one form into the other and thus supports the point of view taken by Lord. However, both Lord’s view and the current literature appear to rely on the idea of an experiment with random examinees which implies a different notion of test scores. It is shown how an explicit choice between the two experiments is not just important for our theoretical understanding of key notions in test equating but also has important practical consequences.","PeriodicalId":48001,"journal":{"name":"Journal of Educational and Behavioral Statistics","volume":"47 1","pages":"353 - 362"},"PeriodicalIF":1.9000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Educational and Behavioral Statistics","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3102/10769986211072308","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 1
Abstract
The current literature on test equating generally defines it as the process necessary to obtain score comparability between different test forms. The definition is in contrast with Lord’s foundational paper which viewed equating as the process required to obtain comparability of measurement scale between forms. The distinction between the notions of scale and score is not trivial. The difference is explained by connecting these notions with standard statistical concepts as probability experiment, sample space, and random variable. The probability experiment underlying equating test forms with random scores immediately gives us the equating transformation as a function mapping the scale of one form into the other and thus supports the point of view taken by Lord. However, both Lord’s view and the current literature appear to rely on the idea of an experiment with random examinees which implies a different notion of test scores. It is shown how an explicit choice between the two experiments is not just important for our theoretical understanding of key notions in test equating but also has important practical consequences.
期刊介绍:
Journal of Educational and Behavioral Statistics, sponsored jointly by the American Educational Research Association and the American Statistical Association, publishes articles that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also of interest. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority. The Journal of Educational and Behavioral Statistics provides an outlet for papers that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis, provide properties of these methods, and an example of use in education or behavioral research. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also sometimes accepted. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority.