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Equidistant Response Options on Likert-Type Instruments

Testing the Interval Scaling Assumption Using Mplus

Bibliographic Data

ID20282991
AuthorsGeorgios D Sideridis (0000-0002-4393-5995, Harvard Medical School, Boston, MA, USA, corresponding author), Ioannis Tsaousis (0000-0002-3830-219X, National and Kapodistrian University of Athens), Hanan Ghamdi (Education and Training Evaluation Commission, Riyadh, Saudi Arabia)
Year2023
Volume83
Issue5
Pages885-906
Publication date2023-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00131644221130482
PMID37663540
OpenAlexW4307641153
LanguageFR
Citations received2
References cited104

The purpose of the present study was to provide the means to evaluate the “interval-scaling” assumption that governs the use of parametric statistics and continuous data estimators in self-report instruments that utilize Likert-type scaling. Using simulated and real data, the methodology to test for this important assumption is evaluated using the popular software Mplus 8.8. Evidence on meeting the assumption is provided using the Wald test and the equidistant index. It is suggested that routine evaluations of self-report instruments engage the present methodology so that the most appropriate estimator will be implemented when testing the construct validity of self-report instruments

Econometrics · Equidistant · Estimator · Interval (graph theory) · Likert scale · Parametric statistics · Scaling · Statistics · Test (biology) · Computer Science · Mathematics · Mental Health Research Topics · Psychometric Methodologies and Testing · Statistical Methods and Bayesian Inference

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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