Estimation issues with PLS and CBSEM: Where the bias lies!
University of Newcastle Australia · Otto-von-Guericke University Magdeburg · +4 more institutions
Abstract
Discussions concerning different structural equation modeling methods draw on an increasing array of concepts and related terminology. As a consequence, misconceptions about the meaning of terms such as reflective measurement and common factor models as well as formative measurement and composite models have emerged. By distinguishing conceptual variables and their measurement model operationalization from the estimation perspective, we disentangle the confusion between the terminologies and develop a unifying framework. Results from a simulation study substantiate our conceptual considerations, highlighting the biases that occur when using (1) composite-based partial least squares path modeling to estimate…
Citation impact
- FWCI
- 128.10
- Percentile
- 100%
- References
- 126
Authors
5- MSMarko SarstedtCorresponding
University of Newcastle Australia, Otto-von-Guericke University Magdeburg
- JFJoseph F. Hair
University of South Alabama, Mitchell College
- CMChristian M. Ringle
University of Newcastle Australia, Hamburg University of Technology, Universität Hamburg
- KOKai Oliver Thiele
Hamburg University of Technology, Universität Hamburg
- SPSiegfried P. Gudergan
University of Newcastle Australia
Topics & keywords
- Structural equation modeling
- Factor analysis
- Operationalization
- Partial least squares regression
- Covariance
- Computer science
- Perspective (graphical)
- Econometrics