Structural equation modeling with partial least squares using Stata
Sergio Venturini and
Mehmet Mehmetoglu
Additional contact information
Mehmet Mehmetoglu: Norwegian University of Science and Technology
Italian Stata Users' Group Meetings 2024 from Stata Users Group
Abstract:
Structural equation modeling (SEM) is a multivariate statistical framework that can model both observed and unobserved (latent) variables through complex relationships. In this talk, we present plssem, a community-contributed Stata package for partial least-squares SEM, an approach to SEM which has attracted a lot of interest in the last 20 years from an increasing number of researchers and practitioners from many Felds such as marketing, information systems, economics, psychology, and others. After introducing the topic to the audience, we will illustrate the current architecture of the package and its main features.
Date: 2024-05-09
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://repec.org/isug2024/Italy24_Venturini.pdf presentation materials (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:isug24:01
Access Statistics for this paper
More papers in Italian Stata Users' Group Meetings 2024 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().