Adequacy of Asymptotic Normal Theory in Estimating Reliability for Mastery Tests Based on the Beta-Binomial Model

Huynh Huynh

Journal of Educational and Behavioral Statistics, 1981, vol. 6, issue 3, 257-266

Abstract: Simulated data based on five test score distributions indicate that a slight modification of the asymptotic normal theory for the estimation of the p and kappa indices in mastery testing will provide results which are in close agreement with those based on small samples from the beta-binomial distribution. The modification is achieved through the multiplication of the asymptotic standard errors of estimate by the constant 1 + 1/m ¾ where m is the sample size.

Keywords: Mastery test reliability; decision consistency; estimates of decision consistency; beta-binomial model (search for similar items in EconPapers)
Date: 1981
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:6:y:1981:i:3:p:257-266

DOI: 10.3102/10769986006003257

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