A new approach for utility analysis.

Raju, Nambury S.; Burke, Michael J.; Normand, Jacques

doi:10.1037/0021-9010.75.1.3

Cited by 59 publications

(164 citation statements)

References 49 publications

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“…Some of the extensions of this kind of thinking are less well known, and I will point to only a few of them. One is the topic of the lead article in the February 1990 issue of the Journal of Applied Psychology, concerning the economic utility of personnel selection programs and organizational interventions (Raju, Burke and Normand 1990). Utilitarian models are central to many important conceptions of job performance, just as they are central to any theory of motivation and behavior that encompasses the idea of instrumental acts--that is, the idea that actions are consequence-driven.…”

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confidence: 99%

An Excursion Into Utilitarian Analysis

Malpass¹

1990

Behavior Science Research

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Abstract:Presents a theoretical approach which figures prominently in formal and mathematical theories of behavior. Utilitarian view of attitude and behavior; Decision theory as a major breeding ground of the class of models with the utilitarian label: Theory of achievement motivation; Optimal foraging theory; Signal detection theory.Across a wide range of disciplines and phenomena, a particular theoretical approach is at the center of attempts to understand human behavior. This theoretical approach, roughly characterized as Subjective Expected Utility (SEW) theory, figures prominently in formal and mathematical theories of behavior, as well as in intuitive and implicit analyses of behavior deriving from foil; theory. A selection of SEU approaches is described. The SEU approach is then used to develop a theoretical analysis of crossrace social experience and its relation to the cross-racial face recognition phenomenon.Whatever attributes we associate with the idea of "science," and whatever ritual purifications derive from our methodology, the source of interpretation of events, observations, or data is grounded in what we know as individuals. To the extent that this personal knowledge survives the transposition to interpersonal communication, interpretation can be grounded in the knowledge that is shared among the individuals participating in the particular field of study. Accounts of what we know are developed in many fields of scholarship and are summarized by bodies of assertions known as "theory." Along with certain background information that renders such theory intelligible, these accounts define in a relatively formal way what we know.I think I may actually believe these things. But there are some difficulties buried here that I want to talk about a little before going on. At the personal level, it is somewhat troublesome that the things we know, the beliefs we have that form the basis for our interpretation of events, comprise such a narrow and unknowably biased subset of human experience. This is not to say that any of us would have chosen to be born somewhere else or to have lived a different life, however, because all the alternatives appear equally limited. I do not believe that we can escape very far from being ourselves, even in the purification rituals of scientific analysis, although this may be the most effective strategy. We have available to us the formal ideas that we can learn and the concepts that are based in our life experience. We probably cannot think the thoughts or generate the associative structures and interpretive contexts of the people we study. To do so may present a problem that is ultimately insurmountable, although

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confidence: 99%

An Excursion Into Utilitarian Analysis

Malpass¹

1990

Behavior Science Research

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“…Utility analysis models that employ these basic concepts are available and can be used to assess the relative efficiency of emergency preparedness and bioterrorism training programs. [15][16][17] …”

Section: Level 4: Resultsmentioning

confidence: 99%

From the Schools of Public Health

Sarpy

Chauvin²

2003

Public Health Rep

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“…Raju, Burke and Normand model. Raju, Burke and Normand (1990) proposed a new utility analysis model (RBN) that does not require the problematic estimation of SD Y . Instead, the model introduces two new variables: average total compensation, A, which includes the salary, benefits, bonuses, and direct overhead allocated to an average employee and the standard deviation of a rating of job performance, SD R .…”

Section: Other Utility Modelsmentioning

confidence: 99%

“…Other methods have been proposed for estimating SD Y (Cascio and Ramos 1986;Hunter and Schmidt 1982), Brogden's original UA model has been modified and extended (Cronbach and Gleser 1965;Boudreau, 1983aBoudreau, , 1983bBerger, 1985a, 1985b;De Corte 1994, 1996 and new UA models have been developed (Raju, Burke and Normand 1990;Raju, Cabrera and Lezotte 1996).…”

Section: Introductionmentioning

confidence: 99%

Utility Analysis: Current Trends and Future Directions

Cabrera

Raju

2001

Int J Selection Assessment

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Utility analysis procedures offer organizational decision makers useful information regarding the relative values of different interventions. Years of research have resulted in a number of practically viable utility models and extensions. There is a continued need for research to examine the accuracy of utility estimates and to further compare the different models. A more recent research concern is that of low levels of acceptance of utility analysis results by practitioners. Many researchers are turning their attention to ways in which this acceptance may be increased. This article reviews different utility models as well as a number of important extensions. It then discusses current utility analysis issues, such as the aforementioned acceptance problem and the introduction of a multi attribute utility model. The article concludes with suggestions for future utility analysis research.

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A new approach for utility analysis.

Cited by 59 publications

References 49 publications

An Excursion Into Utilitarian Analysis

An Excursion Into Utilitarian Analysis

From the Schools of Public Health

Utility Analysis: Current Trends and Future Directions

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