Evaluating the Decision-Making Skills of General Aviation Pilots

Driskill, Walter E.; Weissmuller, Johnny J.; Quebe, J; Hand, Darryl K.

doi:10.1037/e734722011-001

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…There is limited evidence in this study to suggest that differences between pilots in education, experience, and independence lead to differing valuations of some airport attributes. This comes as little surprise and is consistent with the extensive literature on pilot risk-taking behavior (O'Hare & Smitheram, 1995;Wiggins & O'Hare, 1995) and pilot decision comfort (Driskill et al, 1998). The contributions of decision-invariant or habitual factors, however, are small in the present study.…”

Section: Discussionsupporting

confidence: 91%

“…The method can be used as an aid in the development of controlled comparisons that examine such important issues as information processing and risk-aversion/riskseeking behavior. The use of structured scenarios in aviation research has a long history (see, for example, Driskill et al, 1998;O'Hare & Smitheram, 1995), and analysis within a stated preference framework could enrich the interpretation given to such data. Moreover, it is easy to imagine SP use addressing choice behaviors in a variety of settings of interest to decision analysts.…”

Section: Discussionmentioning

confidence: 99%

“…The experience and education items are similar to those incorporated into national surveys of pilot attitudes and behaviors (see, for example, Hunter, 1995;Rakovan, Wiggins, Jensen, & Hunter, 1999) and include flying time, ratings held, and pilot demographics. Several of these characteristics have been found to exert an influence on pilot risk taking (O'Hare & Smitheram, 1995); others have been found to affect the pilot's comfort level with his or her decisions (Driskill, Weissmuller, Quebe, Hand, & Hunter, 1998).…”

Section: Preparation Of Sp Instrumentsmentioning

confidence: 99%

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Flying Personal Planes: Modeling the Airport Choices of General Aviation Pilots Using Stated Preference Methodology

Camasso

Jagannathan

2001

Hum Factors

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This study employed stated preference (SP) models to determine why general aviation pilots choose to base and operate their aircraft at some airports and not others. Thirteen decision variables identified in pilot focus groups and in the general aviation literature were incorporated into a series of hypothetical choice tasks or scenarios. The scenarios were offered within a fractional factorial design to establish orthogonality and to preclude dominance in any combination of variables. Data from 113 pilots were analyzed for individual differences across pilots using conditional logit regression with and without controls. The results demonstrate that some airport attributes (e.g., full-range hospitality services, paved parallel taxiway, and specific types of runway lighting and landing aids) increase pilot utility. Heavy airport congestion and airport landing fees, on the other hand, decrease pilot utility. The importance of SP methodology as a vehicle for modeling choice behavior and as an input into the planning and prioritization process is discussed. Actual or potential applications include the development of structured decision-making instruments in the behavioral sciences and in human service programs.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Preparation Of Sp Instrumentsmentioning

confidence: 99%

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Flying Personal Planes: Modeling the Airport Choices of General Aviation Pilots Using Stated Preference Methodology

Camasso

Jagannathan

2001

Hum Factors

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“…Risk tolerance is an individual’s willingness to accept risk, whereas risk perception is an individual’s evaluation of risk. Risk tolerance has been shown to vary by situation-specific factors (14) and decision goals (15). …”

Section: Introductionmentioning

confidence: 99%

Regulatory focus affects physician risk tolerance

McIntosh¹,

Chapman²,

Dolan³

2014

Health Psych Res

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Risk tolerance is a source of variation in physician decision-making. This variation, if independent of clinical concerns, can result in mistaken utilization of health services. To address such problems, it will be helpful to identify nonclinical factors of risk tolerance, particularly those amendable to intervention – regulatory focus theory suggests such a factor. This study tested whether regulatory focus affects risk tolerance among primary care physicians. Twenty-seven primary care physicians were assigned to promotion-focused or prevention-focused manipulations and compared on the Risk Taking Attitudes in Medical Decision Making scale using a randomization test. Results provide evidence that physicians assigned to the promotion-focus manipulation adopted an attitude of greater risk tolerance than the physicians assigned to the prevention-focused manipulation (P=0.01). The Cohen’s d statistic was conventionally large at 0.92. Results imply that situational regulatory focus in primary care physicians affects risk tolerance and may thereby be a nonclinical source of practice variation. Results also provide marginal evidence that chronic regulatory focus is associated with risk tolerance (P=0.05), but the mechanism remains unclear. Research and intervention targeting physician risk tolerance may benefit by considering situational regulatory focus as an explanatory factor.

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“…Similar to biodata, SJTs can be designed to assess a variety of constructs. Situational judgment tests have been used in the aviation context to assess judgment and decision-making changes after training (Driskill, Weissmuller, Quebe, Hand, & Hunter, 1998;Hunter, 2003) but there is no known published work reports on the use of safety-based SJT's to select candidates into jobs.…”

Section: Situational Judgment Test Situational Judgment Tests (Sjt) mentioning

confidence: 99%

Personnel Selection, Safety Performance, and Job Performance: Are Safe Workers Better Workers?

Drew

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Evaluating the Decision-Making Skills of General Aviation Pilots

Cited by 9 publications

References 3 publications

Flying Personal Planes: Modeling the Airport Choices of General Aviation Pilots Using Stated Preference Methodology

Flying Personal Planes: Modeling the Airport Choices of General Aviation Pilots Using Stated Preference Methodology

Regulatory focus affects physician risk tolerance

Personnel Selection, Safety Performance, and Job Performance: Are Safe Workers Better Workers?

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