Toward Better Meta-Analytic Matrices: How Input Values Can Affect Research Conclusions in Human Resource Management Simulations

@inproceedings{Roth2011TowardBM,
  title={Toward Better Meta-Analytic Matrices: How Input Values Can Affect Research Conclusions in Human Resource Management Simulations},
  author={Philip L. Roth and Fred Michael Switzer and Chad H. Van Iddekinge and In-Sue Oh},
  year={2011}
}
Simulations and analyses based on meta-analytic matrices are fairly common in human resource management and organizational behavior research, particularly in staffing research. Unfortunately, the metaanalytic values estimates for validity and group differences (i.e., ρ and δ, respectively) used in such matrices often vary in the extent to which they are affected by artifacts and how accurately the values capture the underlying constructs and the appropriate population. We investigate how such… CONTINUE READING
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