Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique

By Lawrence J. Williams, Nathan S. Hartman, Flávia Cavazotte. 2010

1,546 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/de7228f1a4c33eadc846d6f7218b13d94390720a

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In Computer Networks and Communications

In Management Science and Operations Research

Citations in the corpus

A Cross-Cultural Examination of Subordinates' Perceptions of and Reactions to Abusive Supervision (2015, result): “Williams et al. (2010) suggested that if the results of a chi-square difference test indicate the fit of these models is not significantly different, then CMV is said to not exist in the data.”
Working Memory: Theories, Models, and Controversies (2015, neutral): “Indeed, Williams et al. (2010) note that unequal method effect is needed in most organizational research settings because there 554 Podsakoff MacKenzie Podsakoff evidence that different types of variables contain differing amounts of method variance.”
How (Not) to Solve the Problem: An Evaluation of Scholarly Responses to Common Source Bias (2015, background): “However, several studies suggest that this assumption is often violated in practice (see Podsakoff et al. 2003; Williams, Hartman, and Cavazotte 2010), including Meier and O’Toole (2013b), who find that bias is stronger for questions that are more vague and less factual.”
Effects of inclusive leadership on organizational citizenship behavior: the mediating roles of organizational justice and learning culture (2019, methodology): “These studies reported that many researchers have used the correlational marker technique even though they use latent variable methods to test their substantive hypotheses (Lindell & Whitney, 2001; Williams et al., 2010).”
Emotional demands, emotional labour and occupational outcomes in school principals (2017, methodology): “As all dependent and independent measures were collected via the same survey, a confirmatory factor analysis (CFA) marker test was initially applied to assess the effects of common method bias (Williams et al., 2010).”
Common Method Variance Techniques (2014, methodology): “Williams et al (2010) review published studies employing various forms of marker variables.”