Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11540
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dc.contributor.authorALONSO ABAD, Ariel-
dc.contributor.authorLAENEN, Annouschka-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorGEYS, Helena-
dc.contributor.authorVANGENEUGDEN, Tony-
dc.date.accessioned2011-01-25T13:04:07Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2011-01-25T13:04:07Z-
dc.date.issued2010-
dc.identifier.citationBIOMETRICS, 66 (4). p. 1061-1068-
dc.identifier.issn0006-341X-
dc.identifier.urihttp://hdl.handle.net/1942/11540-
dc.description.abstractP>The reliability of multi-item scales has received a lot of attention in the psychometric literature, where a myriad of measures like the Cronbach's alpha or the Spearman-Brown formula have been proposed. Most of these measures, however, are based on very restrictive models that apply only to unidimensional instruments. In this article, we introduce two measures to quantify the reliability of multi-item scales based on a more general model. We show that they capture two different aspects of the reliability problem and satisfy a minimum set of intuitive properties. The relevance and complementary value of the measures is studied and earlier approaches are placed in a broader theoretical framework. Finally, we apply them to investigate the reliability of the Positive and Negative Syndrome Scale, a rating scale for the assessment of the severity of schizophrenia.-
dc.description.sponsorshipWe are grateful to J&J PRD for the data. We gratefully acknowledge support from Belgian IUAP/PAI network "Statistical Techniques and Modeling for Complex Substantive Questions with Complex Data."-
dc.language.isoen-
dc.publisherWILEY-BLACKWELL PUBLISHING, INC-
dc.rights(C) 2010, The International Biometric Society-
dc.subject.otherfactor analysis; multi-item rating scales; reliability-
dc.subject.otherFactor analysis; Multi-item rating scales; Reliability-
dc.titleA Unified Approach to Multi-item Reliability-
dc.typeJournal Contribution-
dc.identifier.epage1068-
dc.identifier.issue4-
dc.identifier.spage1061-
dc.identifier.volume66-
local.format.pages8-
local.bibliographicCitation.jcatA1-
dc.description.notes[Alonso, Ariel; Laenen, Annouschka; Molenberghs, Geert] Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Ctr Biostat, B-3000 Louvain, Belgium. [Geys, Helena] Johnson & Johnson Pharmaceut Res & Dev, B-2340 Beerse, Belgium. [Vangeneugden, Tony] Johnson & Johnson, Tibotec, B-2800 Mechelen, Belgium. ariel.alonso@uhasselt.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1111/j.1541-0420.2009.01373.x-
dc.identifier.isi000285204900007-
item.validationecoom 2012-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationALONSO ABAD, Ariel; LAENEN, Annouschka; MOLENBERGHS, Geert; GEYS, Helena & VANGENEUGDEN, Tony (2010) A Unified Approach to Multi-item Reliability. In: BIOMETRICS, 66 (4). p. 1061-1068.-
item.contributorALONSO ABAD, Ariel-
item.contributorLAENEN, Annouschka-
item.contributorMOLENBERGHS, Geert-
item.contributorGEYS, Helena-
item.contributorVANGENEUGDEN, Tony-
crisitem.journal.issn0006-341X-
crisitem.journal.eissn1541-0420-
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