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dc.contributor.authorMcQuisten, R.
dc.contributor.authorGebhardt, K. A.
dc.date.accessioned2020-09-25T07:15:28Z
dc.date.available2020-09-25T07:15:28Z
dc.date.issued1983-01-01
dc.identifier.citationMcQuisten, R., & Gebhardt, K. A. (1983). Analytical reliability in the decision making process—the numbers game. Journal of Range Management, 36(1), 126-128.
dc.identifier.issn0022-409X
dc.identifier.doi10.2307/3898000
dc.identifier.urihttp://hdl.handle.net/10150/645964
dc.description.abstractThis paper is not intended to give the pros or cons of conventional sampling methods (generators of numbers). Rather, our intent is to emphasize the importance of the credibility and integrity of the generated number, by what ever methodology selected, and point out some problems that can be encountered when numbers are poorly generated or analyzed. As generators of numbers we are responsible for the end-products of data analysis for the decision maker.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectrangeland management
dc.titleAnalytical Reliability in the Decision Making Process—The Numbers Game
dc.typetext
dc.typeArticle
dc.identifier.journalJournal of Range Management
dc.description.noteThis material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries.
dc.description.collectioninformationThe Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.source.volume36
dc.source.issue1
dc.source.beginpage126-128
refterms.dateFOA2020-09-25T07:15:28Z


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