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How Many Factors in Factor Analysis?New Insights about Parallel Analysis with Confidence Intervals

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dc.contributor.authorIacobuccia, Dawn
dc.contributor.authorRuviob, Ayalla
dc.contributor.authorRomán Nicolás, Sergio
dc.contributor.authorMoond, Sangkil
dc.contributor.authorHerr, Paul M.
dc.contributor.departmentComercialización e Investigación de Mercados
dc.date.accessioned2024-02-01T11:23:27Z
dc.date.available2024-02-01T11:23:27Z
dc.date.issued2022-02
dc.description© 2021 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. This document is the Accepted version of a Published Work that appeared in final form in Journal of Business Research. To access the final edited and published work see https://doi.org/10.1016/j.jbusres.2021.09.015es
dc.description.abstractFactor analysis is an extremely popular model forscale development prior to other modeling in much research in business and the social sciences. A central question in factor analysis remainsthe determination of the number of factors to extract and retain to explain as much of the data as possible, and do so parsimoniously. Parallel analysis can be helpful, but there issome confusion surrounding this technique, which may lead to incorrectconclusions. This research seeks first to clarify and correct these confusions. Second, we offer R, SAS, and SPSS programs to conduct parallel analysis in factor analysis. Third, we incorporate inferential statistics, enabling hypothesis testing and confidence intervals. Finally, we discuss how parallel analysis can help scholars in ongoing debates about individual differences scales, construct and measure dimensionality, and the utility of multi-item scales. Hopefully, the recurrent question, “How many factors?” can be answered more definitively.es
dc.embargo.terms2025-01-01
dc.formatapplication/pdfes
dc.format.extent55es
dc.identifier.citationJournal of Business Research, 139, 1026-1043
dc.identifier.issnPrint: 0148-2963
dc.identifier.issnElectronic: 1873-7978
dc.identifier.urihttp://hdl.handle.net/10201/138349
dc.languageenges
dc.publisherElsevieres
dc.relationSin financiación externa a la Universidades
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFactor analysises
dc.subjectNumber of factorses
dc.subjectEigenvalueses
dc.subjectParallel analysises
dc.subjectRandom factorses
dc.subject.otherCDU::3 - Ciencias sociales::33 - Economía::339 - Comercio. Relaciones económicas internacionales. Economía mundial. Marketinges
dc.titleHow Many Factors in Factor Analysis?New Insights about Parallel Analysis with Confidence Intervalses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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