Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods
By Joseph F. Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Kai Oliver Thiele. Journal of the Academy of Marketing Science, 2017
2,367 citations recorded by the source corpus.
Subfields: Information Systems and Management, Marketing, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/3bf01b5c4cca7ca638fb88d9fb67f8b471412190
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Marko Sarstedt
- Christian M. Ringle
- Jun-Hwa (Jacky) Cheah
- Hiram Ting
- S. M. Rasoolimanesh
- Thurasamy Ramayah
- José L. Roldán
- Asyraf Afthanorhan
In Marketing
- Hiram Ting
- Marko Sarstedt
- Christian M. Ringle
- Jun-Hwa (Jacky) Cheah
- José L. Roldán
- Thurasamy Ramayah
- Jan-Michael Becker
- Enrico Ciavolino
In Organizational Behavior and Human Resource Management
- Hiram Ting
- Marko Sarstedt
- Jun-Hwa (Jacky) Cheah
- Christian M. Ringle
- S. M. Rasoolimanesh
- Thurasamy Ramayah
- José L. Roldán
- Jan-Michael Becker
Citations in the corpus
- A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario (2017, methodology): “As a rule of thumb, one cannot delete more than 20 percent of the total items in the model, be it CBSEM or PLS-SEM (Hair et al., 2017a; Hair, Black, Babin, & Anderson, 2010).”
- The Interplay of Leadership Styles, Innovative Work Behavior, Organizational Culture, and Organizational Citizenship Behavior (2020, background): “The square root of the AVE must be higher than the corresponding diagonal values of all the constructs while the HTMT ratio can be established when all the values fall under the range of 0.90 (Hair et al., 2017).”
- An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, methodology): “In combination with a small sample size, highly skewed data can result in inflated standard bootstrap errors, which reduce the statistical power (Hair et al., 2017b).”
- Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China (2020, methodology): “Heterotrait–Monotrait (HTMT) ratio is one of the widely employed methods for DV evaluation [74,75].”