Metascience: Guidelines for the Practitioner
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, improp...
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Veröffentlicht in: | Advances in developing human resources 2019-11, Vol.21 (4), p.503-512 |
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creator | Turner, John R. Brown, H. Quincy Passmore, David L. Nimon, Kim Baker, Rose Jeong, Shinhee Flatt, Candace |
description | 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. |
doi_str_mv | 10.1177/1523422319870790 |
format | Article |
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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.</description><identifier>ISSN: 1523-4223</identifier><identifier>EISSN: 1552-3055</identifier><identifier>DOI: 10.1177/1523422319870790</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Human resource management ; Studies</subject><ispartof>Advances in developing human resources, 2019-11, Vol.21 (4), p.503-512</ispartof><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c319t-7b4f2ee743aac33620f568f8ebc37ca29020eb547166dbd05e6bc5275818c7723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1523422319870790$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1523422319870790$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids></links><search><creatorcontrib>Turner, John R.</creatorcontrib><creatorcontrib>Brown, H. Quincy</creatorcontrib><creatorcontrib>Passmore, David L.</creatorcontrib><creatorcontrib>Nimon, Kim</creatorcontrib><creatorcontrib>Baker, Rose</creatorcontrib><creatorcontrib>Jeong, Shinhee</creatorcontrib><creatorcontrib>Flatt, Candace</creatorcontrib><title>Metascience: Guidelines for the Practitioner</title><title>Advances in developing human resources</title><description>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.</description><subject>Human resource management</subject><subject>Studies</subject><issn>1523-4223</issn><issn>1552-3055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kM1LxDAQxYMouK7ePRa8Wp1Mmo96k0VXYUUPei5pOtUsa7Mm3YP_vS0VFgRP82B-7z14jJ1zuOJc62suURSIgpdGgy7hgM24lJgLkPJw1Cjy8X_MTlJaA3DUqpixyyfqbXKeOkc32XLnG9r4jlLWhpj1H5S9ROt63_vQUTxlR63dJDr7vXP2dn_3unjIV8_Lx8XtKndDfZ_rumiRSBfCWieEQmilMq2h2gntLJaAQLUsNFeqqRuQpGonUUvDjdMaxZxdTLnbGL52lPpqHXaxGyorRCMBS6NGCibKxZBSpLbaRv9p43fFoRo3qf5uMliyyUIudD7tDcqUoIyQYkDyCUn2nfa9_0b-AJJyaPk</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Turner, John R.</creator><creator>Brown, H. Quincy</creator><creator>Passmore, David L.</creator><creator>Nimon, Kim</creator><creator>Baker, Rose</creator><creator>Jeong, Shinhee</creator><creator>Flatt, Candace</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20191101</creationdate><title>Metascience: Guidelines for the Practitioner</title><author>Turner, John R. ; Brown, H. Quincy ; Passmore, David L. ; Nimon, Kim ; Baker, Rose ; Jeong, Shinhee ; Flatt, Candace</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-7b4f2ee743aac33620f568f8ebc37ca29020eb547166dbd05e6bc5275818c7723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Human resource management</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Turner, John R.</creatorcontrib><creatorcontrib>Brown, H. Quincy</creatorcontrib><creatorcontrib>Passmore, David L.</creatorcontrib><creatorcontrib>Nimon, Kim</creatorcontrib><creatorcontrib>Baker, Rose</creatorcontrib><creatorcontrib>Jeong, Shinhee</creatorcontrib><creatorcontrib>Flatt, Candace</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>Advances in developing human resources</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Turner, John R.</au><au>Brown, H. Quincy</au><au>Passmore, David L.</au><au>Nimon, Kim</au><au>Baker, Rose</au><au>Jeong, Shinhee</au><au>Flatt, Candace</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metascience: Guidelines for the Practitioner</atitle><jtitle>Advances in developing human resources</jtitle><date>2019-11-01</date><risdate>2019</risdate><volume>21</volume><issue>4</issue><spage>503</spage><epage>512</epage><pages>503-512</pages><issn>1523-4223</issn><eissn>1552-3055</eissn><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.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/1523422319870790</doi><tpages>10</tpages></addata></record> |
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subjects | Human resource management Studies |
title | Metascience: Guidelines for the Practitioner |
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