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Exploring Within-Rater Category Ordering

A Simulation Study Using Adjacent-Categories Mokken Scale Analysis

Bibliographic Data

ID20281189
AuthorsStefanie A Wind (0000-0002-1599-375X, The University of Alabama, Tuscaloosa, AL, USA, corresponding author), Randall E Schumacker (The University of Alabama, Tuscaloosa, AL, USA)
Year2018
Volume78
Issue5
Pages887-904
Publication date2018-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164417724841
PMID32655174
OpenAlexW2743090876
LanguageEN
Citations received1
References cited16

The interpretation of ratings from educational performance assessments assumes that rating scale categories are ordered as expected (i.e., higher ratings correspond to higher levels of judged student achievement). However, this assumption must be verified empirically using measurement models that do not impose ordering constraints on the rating scale category thresholds, such as item response theory models based on adjacent-categories probabilities. This study considers the application of an adjacent-categories formulation of polytomous Mokken scale analysis (ac-MSA) models as a method for evaluating the degree to which rating scale categories are ordered as expected for individual raters in performance assessments. Using simulated data, this study builds on the preliminary application of ac-MSA models to rater-mediated performance assessments, in which a real data analysis suggested that these models can be used to identify disordered rating scale categories. The results suggested that ac-MSA models are sensitive to disordered categories within individual raters. Implications are discussed as they relate to research, theory, and practice for rater-mediated educational performance assessments

Cognitive psychology · Developmental psychology · Econometrics · Inter-rater reliability · Interpretation (philosophy) · Item response theory · Polytomous Rasch model · Psychometrics · Rating scale · Scale (ratio) · Statistics · Advanced Statistical Modeling Techniques · Clinical Psychology · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing · Reliability and Agreement in Measurement

  • A nonparametric procedure for exploring differences in rating quality across test-taker subgroups in rater-mediated writing assessments

    Open Access•Stefanie A Wind•Language Testing•2019

  • A Theory and Procedure of Scale Analysis

    Robert J Mokken•Theory and Procedure of Scale…•1971

  • A Rasch Model for Partial Credit Scoring

    Open Access•Geoff N Masters•Psychometrika•1982

  • The Rasch Rating Model and the Disordered Threshold Controversy

    Open Access•Raymond J Adams, Margaret Wu et al.•Educational and Psychological…•2012

  • An Expanded Derivation of the Threshold Structure of the Polytomous Rasch Model That Dispels Any “Threshold Disorder Controversy”

    Open Access•David Andrich•Educational and Psychological…•2013

  • Exploring Incomplete Rating Designs With Mokken Scale Analysis

    Open Access•Stefanie A Wind, Yogendra J Patil et al.•Educational and Psychological…•2018

  • Exploring Rating Quality in Rater-Mediated Assessments Using Mokken Scale Analysis

    Open Access•Stefanie A Wind, George Engelhard•Educational and Psychological…•2016

  • Adjacent-Categories Mokken Models for Rater-Mediated Assessments

    Open Access•Stefanie A Wind•Educational and Psychological…•2017

  • A systematic review of methods for evaluating rating quality in language assessment

    Open Access•Stefanie A Wind, Meghan E Peterson•Language Testing•2018

Unique citing works1
Citations per year0,14
Citation span2019 - 2019 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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