Please use this identifier to cite or link to this item: http://cris.unibe.edu.do/handle/123456789/99
DC FieldValueLanguage
dc.contributor.authorGarrido, Luis Eduardo-
dc.date.accessioned2021-09-06T14:38:47Z-
dc.date.available2021-09-06T14:38:47Z-
dc.date.issued2017-
dc.identifier.citationMultivariate Behavioral Research, 52(4), 416-429-
dc.identifier.urihttp://tic.unibe.edu.do/handle/123456789/99-
dc.description.abstractThe current study proposes a new bi-factor rotation method, Schmid-Leiman with iterative target rotation (SLi), based on the iteration of partially specified target matrices and an initial target constructed from a Schmid-Leiman (SL) orthogonalization. SLi was expected to ameliorate some of the limitations of the previously presented SL bi-factor rotations, SL and SL with target rotation (SLt), when the factor structure either includes cross-loadings, near-zero loadings, or both. A Monte Carlo simulation was carried out to test the performance of SLi, SL, SLt, and the two analytic bi-factor rotations, bi-quartimin and bi-geomin. The results revealed that SLi accurately recovered the bi-factor structures across the majority of the conditions, and generally outperformed the other rotation methods. SLi provided the biggest improvements over SL and SLt when the bi-factor structures contained cross-loadings and pure indicators of the general factor. Additionally, SLi was superior to bi-quartimin and bi-geomin, which performed inconsistently across the types of factor structures evaluated. No method produced a good recovery of the bi-factor structures when small samples (N = 200) were combined with low factor loadings (0.30-0.50) in the specific factors. Thus, it is recommended that larger samples of at least 500 observations be obtained.en
dc.language.isoEnglish-
dc.publisherTaylor & Francis-
dc.relation.ispartofMultivariate Behavioral Research-
dc.subjectCiencias de la Salud-
dc.titleIteration of partially specified target matrices: Application to the bi-factor caseen
dc.typeJournal Article-
dc.identifier.doi10.1080/00273171.2017.1301244-
dc.identifier.pmid28375697-
dc.contributor.affiliationDecanato de Investigación e Innovación (DII)-
dc.relation.issn0027-3171-
dc.description.volume52-
dc.description.issue4-
dc.description.startpage416-
dc.description.endpage429-
dc.subject.keywordsBi-factor rotationen
dc.subject.keywordsExploratory factor analysisen
dc.subject.keywordsSchmid-Leimanen
dc.subject.keywordsTarget rotationen
dc.contributor.authorsAbad, F. J.-
dc.contributor.authorsGarcía-Garzón, E.-
dc.contributor.authorsGarrido, Luis Eduardo-
dc.contributor.authorsBarrada, J. R.-
dc.typeofaccessOpen Access-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.languageiso639-1English-
item.openairetypeJournal Article-
item.grantfulltextopen-
item.fulltextCon texto completo -
crisitem.author.deptDecanato de Investigación e Innovación (DII)-
crisitem.author.parentorgUniversidad Iberoamericana (UNIBE)-
Appears in Collections:Publicaciones del DII-UNIBE
Files in This Item:
File Description SizeFormat
2017.Abad.IterationofPartiallySpecifiedTargetMatrices-ApplicationtotheBi-FactorCase.pdfFull text [open access]464.14 kBAdobe PDFView/Open
Show simple item record Recommend this item

Google ScholarTM

Citations

Altmetric

Mentions

Dimensions

Citations


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.