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On the relationship between maximal reliability and maximal validity of linear composites

dc.contributor.author Penev, Spiridon en_US
dc.contributor.author Raykov, T en_US
dc.date.accessioned 2021-11-25T13:41:06Z
dc.date.available 2021-11-25T13:41:06Z
dc.date.issued 2006 en_US
dc.description.abstract A linear combination of a set of measures is often sought as an overall score summarizing subject performance. The weights in this composite can be selected to maximize its reliability or to maximize its validity, and the optimal choice of weights is in general not the same for these two optimality criteria. We explore several relationships between the resulting reliability and validity estimates in different situations. Only in the case of congeneric tests are maximal reliability and maximal validity attained with the same weights, and a precise relationship between these two maximality concepts can be derived. A widely and readily applicable procedure for point and interval estimation of maximal validity is also outlined. Several inequalities are established for the case when the measures are not congeneric. en_US
dc.identifier.issn 0027-3171 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/40276
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.title On the relationship between maximal reliability and maximal validity of linear composites 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/s15327906mbr4102_1 en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 2 en_US
unsw.relation.ispartofjournal Multivariate Behavioral Research en_US
unsw.relation.ispartofpagefrompageto 105-126 en_US
unsw.relation.ispartofvolume 41 en_US
unsw.relation.originalPublicationAffiliation Penev, Spiridon, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Raykov, T en_US
unsw.relation.school School of Mathematics & Statistics *
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