2013
DOI: 10.1002/hrdq.21176
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The Generous Spirit of the Peer Review Process: Perspectives and Insights From the HRDQ Editorial Team on Providing High‐Quality Reviews

Abstract: Are you inclined to "agree," are you "unavailable," or do you "decline" when you receive a personal review invitation from Human Resource Development Quarterly (HRDQ)? We sincerely hope that you will accept our invitations to perform reviews when we reach out to personally solicit your expertise. However, we do acknowledge that many reviewers immediately decline, note their lack of availability, or send us e-mails acknowledging the personal and professional commitments that preclude them from contributing to t… Show more

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Cited by 8 publications
(10 citation statements)
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“…Some of these include questionable research practices, low power, degrees of freedom, and the utilization of post hoc hypotheses as a priori hypotheses (Van Bavel, Mende-Siedlecki, Brady, & Reinero, 2016). Others have called for the field of HRD to move toward meta-analytic reporting standards: “for the reporting of sample demographics, descriptive statistics including correlation or covariance matrices, test statistics, and effect sizes” (Nimon & Astakhova, 2015, p. 232; see also Ellinger et al, 2013).…”
Section: Better Reporting Of Findingsmentioning
confidence: 99%
“…Some of these include questionable research practices, low power, degrees of freedom, and the utilization of post hoc hypotheses as a priori hypotheses (Van Bavel, Mende-Siedlecki, Brady, & Reinero, 2016). Others have called for the field of HRD to move toward meta-analytic reporting standards: “for the reporting of sample demographics, descriptive statistics including correlation or covariance matrices, test statistics, and effect sizes” (Nimon & Astakhova, 2015, p. 232; see also Ellinger et al, 2013).…”
Section: Better Reporting Of Findingsmentioning
confidence: 99%
“…It is directly proportional to the performance of SMEs. [3] Domestic research started late but developed rapidly. Xiuhua Liu started from the factors necessary for the formation of human resources competitiveness, and established 13 secondary factors including the quantity and quality of human resources, management system, capability status, market performance, and the incentive mechanism and market share.…”
Section: Viewmentioning
confidence: 99%
“…Although not explicitly mentioned in Ellinger et al (), reliability coefficients can be important to meta‐analysis studies, as effect sizes may be attenuated when reliability is less than perfect (but see Nimon, Zientek, and Henson [] that illustrates how effect sizes may be inflated in the presence of correlated error), and should therefore be reported in quantitative studies that analyze scale scores composed of multiple items. When reliability coefficients are reported, meta‐analytic researchers have the opportunity to adjust effect sizes based on the measurement error implied in the reliability coefficient (Schmidt, Le, & Oh, ).…”
Section: Supporting Meta‐analytic Reviewsmentioning
confidence: 99%