A Monte Carlo Robustness Study on Formative Measurement Model Specification in CBSEM and PLS
Ringle, Christian M., Wilson, Bradley, Götz Oliver
Abstract
The purpose of this paper is to present results from a simulation study, analyzing the robustness properties of formative indicators within different estimation methods. This study is unique in that it is the first one to investigate a model that primarily consists of formative measurement models. We do not discuss reflective and formative measurement theory comprehensively as this knowledge is assumed.
Keywords
partial least squares; normal distribution; CBSEM
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2007
Conference
PLS'07
Venue
Aas
Book title
Causalities Explored by Indirect Observations: Proceedings of the PLS’07 In-ternational Symposium
Editor
Martens Harald, Næs Tormod
Start page
108
End page
111
Publisher
MATFORSK
Place
Aas
Language
English