Journal article
Assessing the Performance of Strategies for Handling Rapid Guessing Responses in Item Response Theory Equating
Educational and psychological measurement, Vol.85(5), pp.1032-1057
10/2025
DOI: 10.1177/00131644251329524
PMCID: PMC11955993
PMID: 40171134
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.
Details
- Title: Subtitle
- Assessing the Performance of Strategies for Handling Rapid Guessing Responses in Item Response Theory Equating
- Creators
- Juyoung Jung - Educational Measurement and Statistics, Psychological and Quantitative Foundations, University of Iowa, Iowa City, IA, USAWon-Chan Lee - Educational Measurement and Statistics, Psychological and Quantitative Foundations, University of Iowa, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Educational and psychological measurement, Vol.85(5), pp.1032-1057
- DOI
- 10.1177/00131644251329524
- PMID
- 40171134
- PMCID
- PMC11955993
- NLM abbreviation
- Educ Psychol Meas
- ISSN
- 0013-1644
- eISSN
- 1552-3888
- Publisher
- SAGE Publications
- Language
- English
- Electronic publication date
- 03/30/2025
- Date published
- 10/2025
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984805007402771
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