Using Estimates of the Output Productivity Ratio (SDp) to Improve the Accuracy and Managerial Acceptance of Utility Analysis Estimates
This study compared nursing supervisors' percentile estimates (15th, 50th, and 85th) of staff nurse performance made in terms of dollar value and two alternative metrics-output (number of patients cared for) and staffing (number of nurses required to staff a unit). Of the three estimation proce...
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| Veröffentlicht in: | Journal of business and psychology 2001-12, Vol.16 (2), p.165-176 |
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| container_title | Journal of business and psychology |
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| creator | Judiesch, Michael K. |
| description | This study compared nursing supervisors' percentile estimates (15th, 50th, and 85th) of staff nurse performance made in terms of dollar value and two alternative metrics-output (number of patients cared for) and staffing (number of nurses required to staff a unit). Of the three estimation procedures, nursing supervisors were most confident in the accuracy of their output-based estimates and least confident in the accuracy of their dollar value-based estimates. Estimates of the standard deviation of performance as a percentage of mean performance (SDp) ranged from 19% for the staffing-based estimate to 29% for the output-based estimate. Contrary to expectations, dollar value-based SDp estimates were only minimally correlated with staffing- and output-based SDp estimates. I conclude that allowing supervisors to make percentile estimates in terms of familiar metrics has potential value for improving the accuracy and managerial acceptability of utility analysis. |
| doi_str_mv | 10.1023/A:1011129031343 |
| format | Article |
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Of the three estimation procedures, nursing supervisors were most confident in the accuracy of their output-based estimates and least confident in the accuracy of their dollar value-based estimates. Estimates of the standard deviation of performance as a percentage of mean performance (SDp) ranged from 19% for the staffing-based estimate to 29% for the output-based estimate. Contrary to expectations, dollar value-based SDp estimates were only minimally correlated with staffing- and output-based SDp estimates. I conclude that allowing supervisors to make percentile estimates in terms of familiar metrics has potential value for improving the accuracy and managerial acceptability of utility analysis.</description><identifier>ISSN: 0889-3268</identifier><identifier>EISSN: 1573-353X</identifier><identifier>DOI: 10.1023/A:1011129031343</identifier><language>eng</language><publisher>New York: Human Sciences Press, Inc</publisher><subject>Accuracy ; Analytical estimating ; Applied psychology ; Confidence ; Employee supervision ; Employees ; Estimate reliability ; Estimates ; Estimation methods ; Human resources ; Hypotheses ; Job performance ; Nurses ; Nursing ; Performance appraisal ; Personnel selection ; Productivity ; Staffing ; Standard deviation ; Statistical analysis ; Studies ; Supervisors ; Workforce planning</subject><ispartof>Journal of business and psychology, 2001-12, Vol.16 (2), p.165-176</ispartof><rights>Copyright 2001 Human Sciences Press, Inc.</rights><rights>Copyright Kluwer Academic Publishers Winter 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/25092762$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/25092762$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27903,27904,57996,58229</link.rule.ids></links><search><creatorcontrib>Judiesch, Michael K.</creatorcontrib><title>Using Estimates of the Output Productivity Ratio (SDp) to Improve the Accuracy and Managerial Acceptance of Utility Analysis Estimates</title><title>Journal of business and psychology</title><description>This study compared nursing supervisors' percentile estimates (15th, 50th, and 85th) of staff nurse performance made in terms of dollar value and two alternative metrics-output (number of patients cared for) and staffing (number of nurses required to staff a unit). Of the three estimation procedures, nursing supervisors were most confident in the accuracy of their output-based estimates and least confident in the accuracy of their dollar value-based estimates. Estimates of the standard deviation of performance as a percentage of mean performance (SDp) ranged from 19% for the staffing-based estimate to 29% for the output-based estimate. Contrary to expectations, dollar value-based SDp estimates were only minimally correlated with staffing- and output-based SDp estimates. I conclude that allowing supervisors to make percentile estimates in terms of familiar metrics has potential value for improving the accuracy and managerial acceptability of utility analysis.</description><subject>Accuracy</subject><subject>Analytical estimating</subject><subject>Applied psychology</subject><subject>Confidence</subject><subject>Employee supervision</subject><subject>Employees</subject><subject>Estimate reliability</subject><subject>Estimates</subject><subject>Estimation methods</subject><subject>Human resources</subject><subject>Hypotheses</subject><subject>Job performance</subject><subject>Nurses</subject><subject>Nursing</subject><subject>Performance appraisal</subject><subject>Personnel selection</subject><subject>Productivity</subject><subject>Staffing</subject><subject>Standard deviation</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Supervisors</subject><subject>Workforce 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K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j202t-f8b84b015227695036c3a945dc27b72b160112948ab91597bc7b844e2777549c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Accuracy</topic><topic>Analytical estimating</topic><topic>Applied psychology</topic><topic>Confidence</topic><topic>Employee supervision</topic><topic>Employees</topic><topic>Estimate reliability</topic><topic>Estimates</topic><topic>Estimation methods</topic><topic>Human resources</topic><topic>Hypotheses</topic><topic>Job performance</topic><topic>Nurses</topic><topic>Nursing</topic><topic>Performance appraisal</topic><topic>Personnel selection</topic><topic>Productivity</topic><topic>Staffing</topic><topic>Standard deviation</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Supervisors</topic><topic>Workforce 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| ispartof | Journal of business and psychology, 2001-12, Vol.16 (2), p.165-176 |
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| subjects | Accuracy Analytical estimating Applied psychology Confidence Employee supervision Employees Estimate reliability Estimates Estimation methods Human resources Hypotheses Job performance Nurses Nursing Performance appraisal Personnel selection Productivity Staffing Standard deviation Statistical analysis Studies Supervisors Workforce planning |
| title | Using Estimates of the Output Productivity Ratio (SDp) to Improve the Accuracy and Managerial Acceptance of Utility Analysis Estimates |
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