Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas

• 成果类型: Article
• 署名作者: Rigdon, Edward E.; Becker, Jan-Michael; Rai, Arun; Ringle, Christian M.; Diamantopoulos, Adamantios; Karahanna, Elena; Straub, Detmar W.; Dijkstra, Theo K.
• 署名单位: University System of Georgia; Georgia State University; University of Cologne; University System of Georgia; Georgia State University; University System of Georgia; Georgia State University; Hamburg University of Technology; University of Newcastle; University of Vienna; University System of Georgia; University of Georgia; University System of Georgia; Georgia State University; University of Groningen
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.2014.0543
• 发表日期: 2014
• 页码: 780-784
• 关键词: partial least-squares; information-systems; pls-sem; models; GUIDELINES; constructs

摘要

Aguirre-Urreta and Marakas [Aguirre-Urreta MI, Marakas GM (2014) Research note-Partial least squares and models with formatively specified endogenous constructs: A cautionary note. Inform. Systems Res. 25(4): 761-778] aim to evaluate the performance of partial least squares (PLS) path modeling when estimating models with formative endogenous constructs, but their ability to reach valid conclusions is compromised by three major flaws in their research design. First, their population data generation model does not represent formative measurement as researchers generally understand that term. Second, their design involves a PLS path model that is misspecified with respect to their population model. Third, although their aim is to estimate a composite-based PLS path model, their design uses simulation data generated via a factor analytic procedure. In consequence of these flaws, Aguirre-Urreta and Marakas' (2014) study does not support valid inference about the behavior of PLS path modeling with respect to endogenous formatively measured constructs.