A Note on Evaluation of Polytomous Item Locations With the Rating Scale Model and Testing Its Fit

Bibliographic Data

ID20284008
AuthorsTenko Raykov (0000-0002-8911-5116, Michigan State University, East Lansing, USA, corresponding author), Martin Pusic (0000-0001-5236-6598, Harvard University, Boston, MA, USA)
Year2025
Volume85
Issue3
Pages527-538
Publication date2025-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00131644241259026
PMID39563843
OpenAlexW4399980365
LanguageEN
References cited4

A procedure is outlined for point and interval estimation of location parameters associated with polytomous items, or raters assessing studied subjects or cases, which follow the rating scale model. The method is developed within the framework of latent variable modeling, and is readily applied in empirical research using popular software. The approach permits testing the goodness of fit of this widely used model, which represents a rather parsimonious item response theory model as a means of description and explanation of an analyzed data set. The procedure allows examination of important aspects of the functioning of measuring instruments with polytomous ordinal items, which may also constitute person assessments furnished by teachers, counselors, judges, raters, or clinicians. The described method is illustrated using an empirical example

Econometrics · Empirical research · Goodness of fit · Item response theory · Latent variable · Latent variable model · Ordinal data · Point (geometry) · Polytomous Rasch model · Psychometrics · Rating scale · Scale (ratio) · Set (abstract data type) · Statistics · Variable (mathematics) · Advanced Statistical Methods and Models · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing

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