CONSISTENT PARTIAL LEAST SQUARES PATH MODELING

• 成果类型: Article
• 署名作者: Dijkstra, Theo K.; Henseler, Jorg
• 署名单位: University of Groningen; University of Twente; Universidade Nova de Lisboa
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2015/39.2.02
• 发表日期: 2015
• 页码: 297-+
• 关键词: STRUCTURAL EQUATION MODELS; maximum-likelihood; pls-sem; rigdons rethinking; latent-variables; MEDIATING ROLE; systems; regression; praise

摘要

This paper resumes the discussion in information systems research on the use of partial least squares (PLS) path modeling and shows that the inconsistency of PLS path coefficient estimates in the case of reflective measurement can have adverse consequences for hypothesis testing. To remedy this, the study introduces a vital extension of PLS: consistent PLS (PLSc). PLSc provides a correction for estimates when PLS is applied to reflective constructs: The path coefficients, inter-construct correlations, and indicator loadings become consistent. The outcome of a Monte Carlo simulation reveals that the bias of PLSc parameter estimates is comparable to that of covariance-based structural equation modeling. Moreover, the outcome shows that PLSc has advantages when using non-normally distributed data. We discuss the implications for IS research and provide guidelines for choosing among structural equation modeling techniques.