{"title":"Assessing the Performance of Strategies for Handling Rapid Guessing Responses in Item Response Theory Equating.","authors":"Juyoung Jung, Won-Chan Lee","doi":"10.1177/00131644251329524","DOIUrl":null,"url":null,"abstract":"<p><p>This study assesses the performance of strategies for handling rapid guessing responses (RGs) within the context of item response theory observed-score equating. Four distinct approaches were evaluated: (1) ignoring RGs, (2) penalizing RGs as incorrect responses, (3) implementing list-wise deletion (LWD), and (4) treating RGs as missing data followed by imputation using logistic regression-based methodologies. These strategies were examined across a diverse array of testing scenarios. Results indicate that the performance of each strategy varied depending on the specific manipulated factors. Both ignoring and penalizing RGs were found to introduce substantial distortions in equating accuracy. LWD generally exhibited the lowest bias among the strategies evaluated but showed higher standard errors. Data imputation methods, particularly those employing lasso logistic regression and bootstrap techniques, demonstrated superior performance in minimizing equating errors compared to other approaches.</p>","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":" ","pages":"00131644251329524"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955993/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational and Psychological Measurement","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00131644251329524","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This study assesses the performance of strategies for handling rapid guessing responses (RGs) within the context of item response theory observed-score equating. Four distinct approaches were evaluated: (1) ignoring RGs, (2) penalizing RGs as incorrect responses, (3) implementing list-wise deletion (LWD), and (4) treating RGs as missing data followed by imputation using logistic regression-based methodologies. These strategies were examined across a diverse array of testing scenarios. Results indicate that the performance of each strategy varied depending on the specific manipulated factors. Both ignoring and penalizing RGs were found to introduce substantial distortions in equating accuracy. LWD generally exhibited the lowest bias among the strategies evaluated but showed higher standard errors. Data imputation methods, particularly those employing lasso logistic regression and bootstrap techniques, demonstrated superior performance in minimizing equating errors compared to other approaches.
期刊介绍:
Educational and Psychological Measurement (EPM) publishes referred scholarly work from all academic disciplines interested in the study of measurement theory, problems, and issues. Theoretical articles address new developments and techniques, and applied articles deal with innovation applications.