Systematic research needs for understanding supervisory-based estimates of SDy in utility analysis |
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| Affiliation: | 1. The Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, NY, USA;2. Department of Medicine, Division of Oncology, New York University School of Medicine, New York, NY, USA;3. Laura and Isaac Perlmutter Cancer Center, NYU Langone Medical Center, USA;4. Department of Population Health, New York University School of Medicine, New York, NY, USA;5. Molecular MD Corporation, Portland, OR, USA;6. Digital Biology Center, Bio-Rad Laboratories, Pleasanton, CA, USA;1. Departamento de Física, Universidade Federal do Paraná, CP 19044, CEP 81531-990 Curitiba, PR, Brazil;2. Department of Applied Chemistry, University of Johannesburg, Doornfontein 2028, South Africa;1. Department of Global Health, University of Washington, Seattle, WA, USA;2. Department of Laboratory Medicine, University of Washington, Seattle, WA, USA;3. Department of Medicine, University of Washington, Seattle, WA, USA;4. Department of Epidemiology, University of Washington, Seattle, WA, USA;5. Department of Pediatrics, University of Washington, Seattle, WA, USA;6. Seattle Children''s Research Institute, University of Washington, Seattle, WA, USA;7. Coptic Hospital, Nairobi, Kenya;8. Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya;1. MCNS Laboratory, Faculty of Science, University Moulay Ismail, Meknes, Morocco;2. MEM, High School of Technology, University Moulay Ismail, Meknes, Morocco |
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| Abstract: | In utility analysis, the estimation of the standard deviation of performance. SDy, is often accomplished by techniques which require supervisory estimates of overall worth. Because these techniques involve human judgment, they are subject to psychometric scrutiny, to research on contextual effects, and to research about supervisors' cognitive perceptions of overall worth. The current paper addresses needs in all of these areas. The psychometric domain implies research needs regarding consistent judgments, accuracy, the meaning of percentiles, and the possibility of negative worth. The contextual and cognitive domains imply research needs related to job and organizational context, to the nature of the utility metric, and to decomposition of the estimation process underlying judgments of overall worth. Such research will help to delineate the boundaries for the application of utility analysis, as well as suggest improvements in current methodologies. |
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