A New Perspective on Method Variance: A Measure-Centric Approach
By Paul E. Spector, Christopher C. Rosen, Hettie A. Richardson, Lawrence J. Williams, Russell E. Johnson. 2019
269 citations recorded by the source corpus.
Subfields: Management Information Systems
View Paper: https://www.semanticscholar.org/paper/aee39e282dd5a6b71dd0665d0d44157fb8eae0d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Ashlea Troth
- Peter J. Jordan
- Stefan Süß
- J. Paauwe
- R. Peccei
- Stefanie Faupel
- M. van Veldhoven
- E. Erul
Citations in the corpus
- The turn to employees in the measurement of human resource practices: A critical review and proposed way forward (2019, methodology): “As argued by Spector et al. (2019), CMV does not arise simply as a result of the nature of the method used (e.g., self‐report items). Rather, it “represents extraneous and unintended systematic influences on a measured variable, some of which may be shared with other measured variables” (p. 856). He”
- The Effect of Transformational Leadership on Employees During Organizational Change – An Empirical Analysis (2019, background): “So far, it is not entirely clear how the problems of CMB or UMV harm results or how these problems can be resolved (Spector et al., 2017), so the results may contain a bias caused by method variance.”
- Common method bias in applied settings: The dilemma of researching in organizations (2020, background): “Despite CMB being a well-known problem, particularly in survey research, the topic is still of interest and considered an ongoing concern (e.g. Antonakis, 2017; Podsakoff et al., 2012; Spector et al., 2019).”