A method of bias correction for maximal reliability with dichotomous measures Penev, Spiridon en_US Raykov, T en_US 2021-11-25T13:40:57Z 2021-11-25T13:40:57Z 2009 en_US
dc.description.abstract This paper is concerned with the reliability of weighted combinations of a given set of dichotomous measures. Maximal reliability for such measures has been discussed in the past, but the pertinent estimator exhibits a considerable bias and mean squared error for moderate sample sizes. We examine this bias, propose a procedure for bias correction, and develop a more accurate asymptotic confidence interval for the resulting estimator. In most empirically relevant cases, the bias correction and mean squared error correction can be performed simultaneously. We propose an approximate (asymptotic) confidence interval for the maximal reliability coefficient, discuss the implementation of this estimator, and investigate the mean squared error of the associated asymptotic approximation. We illustrate the proposed methods using a numerical example. en_US
dc.identifier.issn 0007-1102 en_US
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Legacy MARC en_US
dc.subject.other Bias correction. en_US
dc.subject.other Statistics. en_US
dc.subject.other Reliability. en_US
dc.subject.other Dichotomy. en_US
dc.title A method of bias correction for maximal reliability with dichotomous measures en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.identifier.doiPublisher en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 1 en_US
unsw.relation.ispartofjournal British Journal of Mathematical and Statistical Psychology en_US
unsw.relation.ispartofpagefrompageto 163-175 en_US
unsw.relation.ispartofvolume 63 en_US
unsw.relation.originalPublicationAffiliation Penev, Spiridon, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Raykov, T en_US School of Mathematics & Statistics *
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