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 \(\lambda _{1}\), \(\lambda _{2}\), \(\lambda _{3}\) (a.k.a Cronbach’s alpha), \(\lambda _{4}\), \(\lambda _{5}\), \(\lambda _{6}\) and the GLB under varying correlational structures, and varying levels of number of items and item variances. Coefficients \(\lambda _{2}\), \(\lambda _{4}\) and \(\lambda _{6}\) 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.
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Oosterwijk, P.R., van der Ark, L.A., Sijtsma, K. (2016). Numerical Differences Between Guttman’s Reliability Coefficients and the GLB. In: van der Ark, L., Bolt, D., Wang, WC., Douglas, J., Wiberg, M. (eds) Quantitative Psychology Research. Springer Proceedings in Mathematics & Statistics, vol 167. Springer, Cham. https://doi.org/10.1007/978-3-319-38759-8_12
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DOI: https://doi.org/10.1007/978-3-319-38759-8_12
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