Suppressor Variables: The Difference Between ‘is’ Versus ‘Acting As’
By L. Ludlow, Kelsey Klein. 2014
121 citations recorded by the source corpus.
Correlated predictors in regression models are a fact of life in applied social science research. The extent to which they are correlated will influence the estimates and statistics associated with the other variables they are modeled along with. These effects, for example, may include enhanced regression coefficients for the other variables—a situation that may suggest the presence of a suppressor variable. This paper examines the history, definitions, and design implications and interpretations when variables are tested as suppressors versus when variables are found that act as suppressors. Longitudinal course evaluation data from a single study illustrate three different approaches to studying potential suppressors and the different results and interpretations they lead to.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/e8640636b0fd269bff1c3829a5970331fb2ee1f8
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In Computer Networks and Communications
Citations in the corpus
- Perceived employability among undergraduates and the importance of career self-management, work experience and individual characteristics (2017, result): “This would align with conventional wisdom that mature students demonstrate greater labour market awareness and is further supported by the age variable being positively correlated with opportunity awareness and not PE (see Ludlow & Klein, 2014).”
- Perseverant grit and self-efficacy: Are both essential for children’s academic success? (2019, methodology): “We investigated this possibility following the guidelines by Ludlow and Klein (2014).”