Common Method Bias in Regression Models With Linear, Quadratic, and Interaction Effects
By Enno Siemsen, Aleda V. Roth, P. Oliveira. 2010
2,684 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/77efe246e70f471454ea27a1b75b37f11fccb3a0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- John P. Meyer
- Wilton E. Heyliger
- Ernest H. O’Boyle
- Thierry Nadisic
- Jessica Breaugh
- T. Schaller
- Long-Zeng Wu
- B. Kuvaas
In Statistics and Probability
- Yih‐teen Lee
- Sofia Schlamp
- Michael Leatherbee
- Nathan Favero
- Scott G. Johnson
- D. Veltrop
- A. Hill
- Antonia J. Kaluza
Citations in the corpus
- How (Not) to Solve the Problem: An Evaluation of Scholarly Responses to Common Source Bias (2015, background): “At the same time, given that the author includes many independent variables from the same survey, common source bias should be controlled for fairly well (Siemsen, Roth, and Oliveira 2010) if bias is constant across all questions, as Lindell and Whitney (2001) assume.”
- Corporate social responsibility and employee engagement: The moderating role of CSR‐specific relative autonomy and individualism (2018, background): “Additionally, research has shown CMV to be less of an issue when testing interaction effects, which all our hypotheses predicted (Siemsen et al., 2010); and the nature of the two‐way interaction between CSR perceptions and CSR‐RA among employees with higher individualism was substantially different ”
- When and how health‐oriented leadership relates to employee well‐being—The role of expectations, self‐care, and LMX (2021, background): “Furthermore, research has shown that interactive effects are less vulnerable to common method bias (Siemsen et al., 2010).”
- Overqualification and Subjective Well-Being at Work: The Moderating Role of Job Autonomy and Culture (2015, background): “It is important to mention, however, that common method variance cannot account for interactions (Evans 1985; Lai et al. in press; Siemsen et al. 2010).”