Charles A. Pierce

TL;DR: Results suggest the need to minimize the influence of artifacts that produce a downward bias in the observed effect size and put into question the use of conventional definitions of moderating effect sizes.

Abstract: The authors provide a cautionary note on reporting accurate eta-squared values from multifactor analysis of variance (ANOVA) designs. They reinforce the distinction between classical and partial eta-squared as measures of strength of association. They provide examples from articles published in premier psychology journals in which the authors erroneously reported partial eta-squared values as representing classical etasquared values. Finally, they discuss broader impacts of inaccurately reported etasquared values for theory development, meta-analytic reviews, and intervention programs.

TL;DR: This study extracted 147,328 correlations and developed a hierarchical taxonomy of variables reported in Journal of Applied Psychology and Personnel Psychology from 1980 to 2010 to produce empirical effect size benchmarks at the omnibus level, for 20 common research domains, and for an even finer grained level of generality.

TL;DR: This paper conducted a meta-analytic review in which they test and provide support for a portion of Hausknecht and Trevor's model of collective turnover and found that the mean corrected correlation between turnover and organizational performance is −.03.

TL;DR: Results revealed that lower levels of job insecurity are associated with having an internal locus of control, lower amounts of role ambiguity and role conflict, greater amounts of organizational communication, less organizational change, younger employees, and white-collar and permanent work.