Cited by 212Psychometric Methodologies and TestingReliability and Agreement in MeasurementStatistical Methods and Bayesian Inference

Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling

Raykov, Tenko·2009·Measurement and Evaluation in Counseling and Development

Abstract

This article outlines a readily and widely applicable procedure of reliability evaluation for scales with unidimensional measures. The method is developed within the framework of the popular latent variable modeling methodology, and it accomplishes point, as well as interval, estimation of measuring instrument reliability. The approach can be employed with scale components that are multinormal or, alternatively, follow a range of nonnormal distributions. In addition, the procedure can be utilized with missing data. The proposed method is illustrated with an empirical example.

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Crossref · 10.1177/0748175609344096

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Authors
Raykov, T.
Affiliations
Michigan State University (US)
Corresponding author
Raykov, Tenko
Venue
Measurement and Evaluation in Counseling and Development
Published
2009-10
Volume
42
Issue
3
Pages
223-232
ISSN
  • 0748-1756 (ISSN-L)
  • 1947-6302
OpenAlex
W2018556571
Cited by
212
References
18
Citations by year
2026: 3 · 2025: 8 · 2024: 6 · 2023: 6 · 2022: 16 · 2021: 27 · 2020: 20 · 2019: 8 · 2018: 15 · 2017: 15 · 2016: 21 · 2015: 24 · 2014: 14 · 2013: 12 · 2012: 10
FWCI
7.69
Type
journal article
Language
en
Open access
closed
Locations
Measurement and Evaluation in Counseling and Development (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
scale reliability, latent variable models, reliability estimation, interval estimation, non-normal distributions, missing data, measurement instruments

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