There's SEM and 'SEM' : a critique of the use of PLS regression in information systems research

Rouse, Anne C. and Corbitt, Brian 2008, There's SEM and 'SEM' : a critique of the use of PLS regression in information systems research, in ACIS2008 : Creating the future : transforming research into practice : Proceedings of the 19th Australasian Conference on Information Systems, ACIS, [Christchurch, New Zealand], pp. 845-855.

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Title There's SEM and 'SEM' : a critique of the use of PLS regression in information systems research
Author(s) Rouse, Anne C.
Corbitt, Brian
Conference name Australasian Conference on Information Systems (19th : 2008 : Christchurch, New Zealand)
Conference location Christchurch, New Zealand
Conference dates 3-5 December 2008
Title of proceedings ACIS2008 : Creating the future : transforming research into practice : Proceedings of the 19th Australasian Conference on Information Systems
Editor(s) Mills, Annette
Huff, Sid
Publication date 2008
Conference series Australasian Conference on Information Systems
Start page 845
End page 855
Publisher ACIS
Place of publication [Christchurch, New Zealand]
Keyword(s) structural equation modelling
PLS
CFA
reliability
Summary In disciplines other than IS, the use of covariance-based structural equation modelling (SEM) is the mainstream method for SEM analysis, and for confirmatory factor analysis (CFA). Yet a body of IS literature has developed arguing that PLS regression is a superior tool for these analyses, and for establishing reliability and validity. Despite these claims, the views underlying this PLS literature are not universally shared. In this paper the authors review the PLS and mainstream SEM literatures, and describe the key differences between the two classes of tools. The paper also canvasses why PLS regression is rarely used in management, marketing, organizational behaviour, and that branch of psychology concerned with good measurement – psychometrics. The paper offers some practical options to Australasian researchers seeking greater mastery of SEM, and also acts as a roadmap for readers who want to check for themselves what the mainstream SEM literature has to say.
ISBN 9780473145286
Language eng
Field of Research 150302 Business Information Systems
Socio Economic Objective 970115 Expanding Knowledge in Commerce, Management, Tourism and Services
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018244

Document type: Conference Paper
Collection: Deakin Graduate School of Business
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