Evaluation of partial least squares parameter recovery

Frances Chumney

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

The purpose of this study was to evaluate the performance of Partial Least Squares under less-than-ideal conditions selected to imitate real-world data. A simulation study with a 3×3×2×2 design was conducted. The design and data features of interest were sample size (50, 300, 1000), number of items per latent variable (3, 5, 7), degree of model misspecification (correctly specified, misspecified), and nature of the relationships between items and latent variables in the measurement models (reflective, formative). Bias of model parameter estimates, and bias and accuracy of standard error estimates were examined to evaluate the performance of PLS for each experimental condition.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Symposium on Partial Least Squares Path Modeling
Subtitle of host publicationThe Conference for PLS Users
EditorsJörg Henseler, Christian Ringle, José Roldán, Gabriel Cepeda
Place of PublicationEnschede
PublisherUniversity of Twente
Number of pages12
ISBN (Print)9789036540568
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event2015 PLS User Conference: 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users - Seville, Spain
Duration: 16 Jun 201519 Jun 2015

Conference

Conference2015 PLS User Conference
Country/TerritorySpain
CitySeville
Period16/06/1519/06/15

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