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  4. Conflating antecedents and formative indicators: A comment on Aguirre-Urreta and Marakas
 
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Conflating antecedents and formative indicators: A comment on Aguirre-Urreta and Marakas

Publikationstyp
Journal Article
Date Issued
2014-09-15
Sprache
English
Author(s)
Rigdon, Edward E.  
Becker, Jan-Michael  
Rai, Arun  
Ringle, Christian M.  orcid-logo
Diamantopoulos, Adamantios  
Karahanna, Elena  
Straub, Detmar W.  
Dijkstra, Theo K.  
Institut
Personalwirtschaft und Arbeitsorganisation W-9  
TORE-URI
http://hdl.handle.net/11420/4030
Journal
Information systems research  
Volume
25
Issue
4
Start Page
780
End Page
784
Citation
Information Systems Research 25 (4): 780-784 (2014-09-15)
Publisher DOI
10.1287/isre.2014.0543
Scopus ID
2-s2.0-84923287035
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.
Subjects
Endogenous constructs
Formative indicators
Partial least squares
DDC Class
000: Allgemeines, Wissenschaft
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