Control Variable Use and Reporting in Macro and Micro Management Research
By Guclu Atinc, Marcia J. Simmering, Mark Kroll. 2012
265 citations recorded by the source corpus.
Subfields: Accounting, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/c357ea689b93614fce828562164867e6bf171952
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- J. Edwards
- Marko Sarstedt
- Christian M. Ringle
- Herman Aguinis
- Joseph F. Hair
- Jörg Henseler
- Detmar W. Straub Jr.
- Kevin D. Carlson
In Management Information Systems
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Jörg Henseler
- Herman Aguinis
- Mikko Rönkkö
- Jeremy B. Bernerth
- Siegfried P. Gudergan
Citations in the corpus
- Common Beliefs and Reality About PLS (2014, background): “For example, among 72 articles published during 2012 in what Atinc, Simmering, and Kroll (2012) consider the four leading management journals that tested one or more common factor model(s), fewer than 10 % contained a common factor model that did not have to be rejected.”
- Estimation issues with PLS and CBSEM: Where the bias lies! ☆ (2016, background): “In consideration that in practical applications improper solutions often occur in CBSEM use (Rigdon, 2012; Sarstedt, Ringle, Henseler et al., 2014), these results offer a potential explanation why, more often than not, the common factor model cannot be supported in practice (Atinc et al., 2012).”
- Statistical control in correlational studies: 10 essential recommendations for organizational researchers. (2016, methodology): “Researchers should also provide supporting evidence and citations, including a description of the nature of the evidence (e.g., correlational, longitudinal, or experimental) and the expected direction (positive or negative) of associations (Atinc et al., 2012).”
- Control Variables in Leadership Research: A Qualitative and Quantitative Review (2017, background): “…making control variable assumptions and potential problems more accessible and salient to leadership researchers and perhaps social science scholars in general, including those studying macrolevel management topics who utilize, on average, 10 control variables per study (Atinc et al., 2012: 67).”
- On the Nuisance of Control Variables in Regression Analysis (2020, background): “Furthermore, Atinc et al. (2012)”
- The Illusion of Statistical Control (2012, methodology): “Our analysis represents a subset of the 813 articles with CVs incorporated in Atinc et al.’s (2012) review of CV practice from 2005 to 2009, based on four journals (they also included Journal of Management).”