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Article
Metascience: Guidelines for the Practitioner:
Advances in Developing Human Resources
(2019)
Abstract
The Problem
The trend in current research is to seek a statistically significant finding, one that provides a p value less than a predetermined alpha. Unfortunately, a large number of research studies have been identified as being nonreplicable along with having other shortcomings (low power, improper methodology, poor sample size) that reduce the rigor of a study’s research findings. Additional techniques are needed beyond relying solely on a p value.
The Solution
This article presents recommendations that Human Resource Development (HRD) scholars and scholar-practitioners can implement to improve the rigor of the discipline’s research and practice. This article also provides guidelines (higher power, meta-analyses, low bias in large studies) of how to best avoid producing nonreplicability studies along with recommendations for the larger field, in this instance for scholars and scholar-practitioners in the social sciences.
The Stakeholders
Scholars, scholar-practitioners, employees, and researchers who are impacted by changes in their environment due to less-than rigorous evidence-based research findings.
Keywords
- metascience,
- nonreproducibility,
- rigor,
- research reporting,
- inference
Disciplines
Publication Date
November 1, 2019
DOI
10.1177/1523422319870790
Citation Information
John R. Turner, H. Quincy Brown, David L. Passmore, Kim Nimon, et al.. "Metascience: Guidelines for the Practitioner:" Advances in Developing Human Resources Vol. 21 Iss. 4 (2019) p. 503 - 512 Available at: http://works.bepress.com/kim-nimon/14/