Publication:
A direct method for obtaining approximate standard error and confidence interval of maximal reliability for composites with congeneric measures

dc.contributor.author Raykov, T en_US
dc.contributor.author Penev, Spiridon en_US
dc.date.accessioned 2021-11-25T13:41:08Z
dc.date.available 2021-11-25T13:41:08Z
dc.date.issued 2006 en_US
dc.description.abstract Unlike a substantial part of reliability literature in the past, this article is concerned with weighted combinations of a given set of congeneric measures with uncorrelated errors. The relationship between maximal coefficient alpha and maximal reliability for such composites is initially dealt with, and it is shown that the former is a lower bound of the latter. A direct method for obtaining approximate standard error and confidence interval for maximal reliability is then outlined. The procedure is based on a second-order Taylor series approximation and is readily and widely applicable in empirical research via use of covariance structure modeling. The described method is illustrated with a numerical example. en_US
dc.identifier.issn 0027-3171 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/40275
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.subject.other Confidence interval. en_US
dc.subject.other Congeneric measures. en_US
dc.subject.other Reliability literature. en_US
dc.subject.other Maximal reliability. en_US
dc.title A direct method for obtaining approximate standard error and confidence interval of maximal reliability for composites with congeneric measures en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.identifier.doiPublisher http://dx.doi.org/10.1207/s15327906mbr4101_2 en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 1 en_US
unsw.relation.ispartofjournal Multivariate Behavioral Research en_US
unsw.relation.ispartofpagefrompageto 15-28 en_US
unsw.relation.ispartofvolume 41 en_US
unsw.relation.originalPublicationAffiliation Raykov, T, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Penev, Spiridon, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.school School of Mathematics & Statistics *
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