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dc.contributor.authorVenturini, Sergio
dc.contributor.authorMehmetoglu, Mehmet
dc.date.accessioned2019-09-25T16:17:40Z
dc.date.available2019-09-25T16:17:40Z
dc.date.created2019-03-27T09:32:54Z
dc.date.issued2019
dc.identifier.citationJournal of Statistical Software. 2019, 88 (8), .nb_NO
dc.identifier.issn1548-7660
dc.identifier.urihttp://hdl.handle.net/11250/2618825
dc.description.abstractWe provide a package called plssem that fits partial least squares structural equation models, which is often considered an alternative to the commonly known covariance-based structural equation modeling. plssem is developed in line with the algorithm provided by Wold (1975) and Lohmöller (1989). To demonstrate its features, we present an empirical application on the relationship between perception of self-attractiveness and two specific types of motivations for working out using a real-life data set. In the paper we also show that, in line with other software performing structural equation modeling, plssem can be used for putting in relation single-item observed variables too and not only for latent variable modeling.nb_NO
dc.language.isoengnb_NO
dc.publisherFoundation for Open Access Statisticsnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleplssem: A Stata Package for Structural Equation Modeling with Partial Least Squaresnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber35nb_NO
dc.source.volume88nb_NO
dc.source.journalJournal of Statistical Softwarenb_NO
dc.source.issue8nb_NO
dc.identifier.doi10.18637/jss.v088.i08
dc.identifier.cristin1688106
dc.description.localcodeThis work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.nb_NO
cristin.unitcode194,67,40,0
cristin.unitnameInstitutt for psykologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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