Statistical control in correlational studies: 10 essential recommendations for organizational researchers

Volume: 37, Issue: 2, Pages: 157 - 167
Published: Sep 25, 2015
Abstract
Summary Statistical control is widely used in correlational studies with the intent of providing more accurate estimates of relationships among variables, more conservative tests of hypotheses, or ruling out alternative explanations for empirical findings. However, the use of control variables can produce uninterpretable parameter estimates, erroneous inferences, irreplicable results, and other barriers to scientific progress. As a result,...
Paper Details
Title
Statistical control in correlational studies: 10 essential recommendations for organizational researchers
Published Date
Sep 25, 2015
Volume
37
Issue
2
Pages
157 - 167
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.