Method Effects, Measurement Error, and Substantive Conclusions
By C. Lance, B. Dawson, David B Birkelbach, Brian J. Hoffman. 2010
373 citations recorded by the source corpus.
Subfields: Applied Psychology, Management Science and Operations Research, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/c29b19b8c628eb3a4aa4953a73996333c24004a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Psychology
- Naresh K. Malhotra
- Thomas W. H. Ng
- Franz Willi Kellermanns
- John F. Veiga
- D. Feldman
- Tao Zhou
- Assâad El akremi
- Christian Homburg
In Management Science and Operations Research
- Franz Willi Kellermanns
- John F. Veiga
- Naresh K. Malhotra
- Assâad El akremi
- Christian Homburg
- Nathan Favero
- Thomas W. H. Ng
- Justin B. Bullock
In Organizational Behavior and Human Resource Management
- Thomas W. H. Ng
- D. Feldman
- Oliver Schilke
- Naresh K. Malhotra
- Philip M. Podsakoff
- Christian Homburg
- Scott B. MacKenzie
- Ashutosh Patil
Citations in the corpus
- How (Not) to Solve the Problem: An Evaluation of Scholarly Responses to Common Source Bias (2015, background): “Lance et al. (2010) argue that this attenuation bias often counteracts the inflationary effect of common source variance, leading the authors to conclude that common source concerns are overstated.”
- Innovative Behaviour, Trust and Perceived Workplace Performance (2018, neutral): “Perceived workplace performance captures an individual’s perception of the level of exhibited workplace performance, which is affected by the prevailing performance standards within a firm (Bommer et al., 1995; Lance et al., 2010; Lance et al., 2008).”
- Common Method Variance in Advertising Research: When to Be Concerned and How to Control for It (2017, methodology): “TABLE 1 The Development of CMV as a Methodological Concern (Continued) Notable Articles Research Focus Methodology Employed Conclusions about CMV Main Takeaways Schaller, Patil, and Malhotra (2015) Comparison of statistical procedures to detect and control for CMV Traditional MTMM analysis Average s”
- Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies (2012, methodology): “First, systematic method variance “biases” stimates of construct validity and reliability (e.g., Bagozzi 984; Baumgartner and Steenkamp 2001; Buckley, Cote, and omstock 1990; Cote and Buckley 1987; Doty and Glick 1998; ance et al. 2010; MacKenzie, Podsakoff, and Podsakoff 2011; odsakoff et al. 2003;”
- Subjective Organizational Performance and Measurement Error: Common Source Bias and Spurious Relationships (2013, background): “The generic management literature and the psychological literature have long been concerned with common source bias and possible solutions (Avolio, Yammarino, and Bass 1991; Brannick et al. 2010; Cote and Buckley 1987; Doty and Glick 1998; Kemery and Dunlap 1986; Lance et al. 2010; Malhotra, Kim, an”
- Working Memory: Theories, Models, and Controversies (2015, neutral): “Third, this technique ignores measurement variables that are used to obtain an estimate of method bias (Lance et al. 2010, Podsakoff et al. 2003, Williams et al. 2010).”
- The Relationship Between Members' Trust and Participation in the Governance of Cooperatives: The Role of Organizational Commitment (2012, background): “However, the LCMF accounted for only 7% of the total variance, which is considerably less than the median method variance (25%) in studies of self-reported perceptions (Lance et al. 2010; Williams, Cote and Buckley, 1989).”
- Addressing Common Method Variance: Guidelines for Survey Research on Information Technology, Operations, and Supply Chain Management (2011, neutral): “[38] for an exemplary review and discussion of the MTMM technique that may be adapted to”