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How Does Calibration Timing and Seasonality Affect Item Parameter Estimates

Bibliographic Data

ID20286288
AuthorsAdam E Wyse (0000-0002-1719-9461, The American Registry of Radiologic Technologists, St. Paul, MN, USA, corresponding author), Ben Babcock (0000-0003-4107-8894, The American Registry of Radiologic Technologists, St. Paul, MN, USA)
Year2016
Volume76
Issue3
Pages508-527
Publication date2016-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164415588947
PMID29795876
OpenAlexW2341444600
LanguageEN
References cited26

Continuously administered examination programs, particularly credentialing programs that require graduation from educational programs, often experience seasonality where distributions of examine ability may differ over time. Such seasonality may affect the quality of important statistical processes, such as item response theory (IRT) item calibration and equating. The lead time required for producing pre-equated test forms in the continuous testing framework further complicates issues. This study examines the effect of seasonality in test data on Rasch IRT item parameter estimates. Data came from four credentialing examination programs that represented both programs with and without seasonality, as well as medium and low examinee volume. Results showed that calibrating items during certain times can lead to quite poor item parameter estimates. While certain programs could conduct IRT calibrations without waiting for the full examination cycle to be completed, other types of programs should wait as long as possible before calibrating items

Affect (linguistics) · Calibration · Credentialing · Econometrics · Equating · Graduation (instrument) · Item response theory · Medical education · Psychometrics · Rasch model · Seasonality · Statistics · Test (biology) · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Medicine · Psychology · Psychometric Methodologies and Testing

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