Numerical differences between Guttman's reliability coefficients and the GLB

Open Access
Authors
Publication date 2016
Host editors
  • L.A. van der Ark
  • D.M Bolt
  • W.-C. Wang
  • J.A. Douglas
  • M. Wiberg
Book title Quantitative Psychology Research
Book subtitle The 80th Annual Meeting of the Psychometric Society, Beijing, 2015
ISBN
  • 9783319387574
ISBN (electronic)
  • 9783319387598
Series Springer Proceedings in Mathematics & Statistics
Event The 80th annual meeting of the Psychometrics Society, Beijing
Pages (from-to) 155-172
Publisher Cham: Springer
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Research Institute of Child Development and Education (RICDE)
Abstract
For samples smaller than 1000 and tests longer than ten items, the greatest lower bound (GLB) to the reliability is known to be biased and not recommended as a method to estimate test-score reliability. As a first step in finding alternative lower bounds under these conditions, we investigated the population values of seven reliability coefficients: Coefficients λ1, λ2, λ3 (a.k.a Cronbach’s alpha), λ4, λ5, λ6 and the GLB under varying correlational structures, and varying levels of number of items and item variances. Coefficients λ2, λ4 and λ6 had population values closest to the GLB and may be considered as alternatives for the GLB in small samples. A necessary second step, investigating the behavior of these coefficients in samples, is a topic for future research.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-319-38759-8_12
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Numerical differences between Guttman (Final published version)
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