“…The rules by which the testing professionals categorize the work and jobs studied, the selection procedures used, the job performance criteria used, and other study characteristics that are hypothesized to impact the study results should be fully reported (Appelbaum et al, 2018;Aytug, Rothstein, Zhou, & Kern, 2012;Guion, 2011). Experts who meta-analyze the same domain of studies can reach somewhat different results and interpretations (see Nieminen, Nicklin, McClure, & Chakrabarti, 2011, who compare different experts' meta-analyses in a domain; see Van Iddekinge, Roth, Raymark, & Odle-Dusseau, 2012, who summarize an exchange on their meta-analysis in the integrity domain). Conversely, missing or unreported information relevant to a meta-analysis will compromise the quality and integrity of the results and, therefore, the inferences that can be made from them (e.g., when effect sizes are unobtainable from a testing professional, or when effect sizes are available, but critical study information may not be reported due to proprietary issues).…”