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dc.contributor.authorBosco, Frank A.
Steel, Piers
Oswald, Frederick L.
Uggerslev, Krista
Field, James G.
dc.date.accessioned 2016-01-15T17:21:44Z
dc.date.available 2016-01-15T17:21:44Z
dc.date.issued 2015
dc.identifier.citation Bosco, Frank A., Steel, Piers, Oswald, Frederick L., et al.. "Cloud-based Meta-analysis to Bridge Science and Practice: Welcome to metaBUS." Personnel Assessment and Decisions, 1, no. 1 (2015) Department of Management, School of Business, Virginia Commonwealth University: https://hdl.handle.net/1911/87848.
dc.identifier.urihttps://hdl.handle.net/1911/87848
dc.description.abstract Although volumes have been written on spanning the science-practice gap in applied psychology, surprisingly few tangible components of that bridge have actually been constructed. We describe the metaBUS platform that addresses three challenges of one gap contributor: information overload. In particular, we describe challenges stemming from: (1) lack of access to research findings, (2) lack of an organizing map of topics studied, and (3) lack of interpretation guidelines for research findings. For each challenge, we show how metaBUS, which provides an advanced search and synthesis engine of currently more than 780,000 findings from 9,000 studies, can provide the building blocks needed to move beyond engineering design phase and toward construction, generating rapid, first-pass meta-analyses on virtually any topic to inform both research and practice. We provide an Internet link to access a preliminary version of the metaBUS interface and provide two brief demonstrations illustrating its functionality.
dc.language.iso eng
dc.publisher Department of Management, School of Business, Virginia Commonwealth University
dc.relation.urihttp://scholarworks.bgsu.edu/pad/vol1/iss1/2
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.title Cloud-based Meta-analysis to Bridge Science and Practice: Welcome to metaBUS
dc.type Journal article
dc.citation.journalTitle Personnel Assessment and Decisions
dc.subject.keywordbig data
science mapping
meta-analysis
dc.citation.volumeNumber 1
dc.citation.issueNumber 1
dc.type.dcmi Text
dc.type.publication publisher version


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