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A Comparison of Rasch Person Analysis and Robust Estimators

Bibliographic Data

ID20286147
AuthorsRichard M Smith (0000-0003-1098-3613, Johnson O'Connor Research Foundation, Inc. Chicago, Illinois, corresponding author)
Year1985
Volume45
Issue3
Pages433-444
Publication date1985-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/001316448504500301
OpenAlexW2138044682
LanguageEN
Citations received6
References cited4

Measurement disturbances, e.g., guessing, startup, plodding, etc., often result in an examinee's ability being either over- or underestimated by the maximum likelihood estimation employed in latent trait psychometric models. Several authors have suggested methods to lessen the impact of unexpected responses on the ability estimation process. This study uses simulated data to compare the standard maximum likelihood estimation with two forms of robust estimation, BIWEIGHT and AMJACK, and person analysis within the Rasch model. The results indicate that, although the two robust estimation procedures recover the generating parameters under certain conditions, in the presence of many forms of measurement disturbances they mask important information. Rasch person analysis has the advantage of not only providing a method of modifying the ability estimation procedure but also of providing a means of identifying the nature of the disturbance

Econometrics · Estimation · Estimator · Item response theory · Maximum likelihood · Polytomous Rasch model · Psychometrics · Rasch model · Statistics · Trait · Cognitive Abilities and Testing · Computer Science · Engineering · Mathematics · Psychology · Psychometric Methodologies and Testing · Social and Intergroup Psychology

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Unique citing works6
Citations per year0,18
Citation span1992 - 2026 (35)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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