Model?Based Treatment of Rapid Guessing
نویسندگان
چکیده
The increased availability of time-related information as a result computer-based assessment has enabled new ways to measure test-taking engagement. One these is distinguish between solution and rapid guessing behavior. Prior research recommended response-level filtering deal with guessing. Response-level can lead parameter bias if depends on the measured trait or (un-)observed covariates. Therefore, model based Mislevy Wu (1996) was applied investigate assumption ignorable missing data underlying filtering. allowed us different approaches treating filtered responses in single framework through parameterization. study found that lower-ability test-takers tend rapidly guess more frequently are likely be unable solve an item they guessed on, indicating violation Further ability estimation seemed sensitive responses. Moreover, model-based exhibited better fit higher convergent validity evidence compared naïve treatments results illustrate need thoroughly assumptions specific well for robust methods.
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ژورنال
عنوان ژورنال: Journal of Educational Measurement
سال: 2021
ISSN: ['1745-3984', '0022-0655']
DOI: https://doi.org/10.1111/jedm.12290