Meta Analysis of Aircraft Pilot Selection Measures

Hunter, David R.; Burke, Eugene

doi:10.21236/ada253387

Cited by 11 publications

(10 citation statements)

References 32 publications

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“…Despite the possibility of g ‐saturation influencing the scores included in this type of broad category, the predictor‐criterion correlation estimate for the composite score category in both meta‐analyses was even higher than for the intelligence test category. However, Hunter and Burke () did not report this result in their published paper although they did in the technical report on which the published article was based (Hunter & Burke, ). They reported a validity of .19 ( k = 34) for a “composites/batteries” category representing scores derived from combination of separate tests.…”

Section: Introductionmentioning

confidence: 99%

“…With this study, we seek to close this research gap by integrating the body of knowledge available about the criterion‐related validity of TBs for different pilot performance outcomes. We also seek to extend earlier efforts originated by two comprehensive meta‐analyses (Hunter & Burke, , ; Martinussen, ) that focused primarily on ability‐specific tests used in pilot selection (e.g., verbal, quantitative, spatial, information processing). Both studies accumulated the TBs' composite scores under one category group, without much consideration of the orientation of ability tests that contributed to the composites, or assessment of the construct saturation predominating the combined scores.…”

Section: Introductionmentioning

confidence: 99%

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Multiple test batteries as predictors for pilot performance: A meta‐analytic investigation

ALMamari

Traynor

2019

Int J Selection Assessment

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Test Batteries (TBs) have a long history of use in pilot selection. The extent to which TBs predict future pilot performance has important implications. The existing pilot‐related psychometric meta‐analyses have focused primarily on scores of individual ability tests, rather than the combined scores composited from multiple ability tests. The objective of this study was to investigate the predictive validity of TBs' composite scores for several criteria of pilot performance. Informed by the Cattell–Horn–Carroll theory, we proposed a classification scheme of six categories representing the most common composite scores in selection assessment: Acquired Knowledge, Perceptual Processing, Motor Abilities, Controlled Attention, General Ability, and Work Sample. For overall pilot performance, based on 267 correlations from 118 independent samples, results showed that the six categories of TBs are valid predictors (Meanr = .10–.34), and at least five of them have validity that is likely to generalize across selection contexts.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiple test batteries as predictors for pilot performance: A meta‐analytic investigation

ALMamari

Traynor

2019

Int J Selection Assessment

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“…The predictiveness of the PCSM composite has been shown to be due to the measurement of cognitive ability, aviation job knowledge/experience, and psychomotor ability (Carretta & Ree, 1994). Although instruments and measurement methods vary, these factors can be found in military pilot aptitude procedures for many countries (Carretta & Ree, 2003; Hunter & Burke, 1995; Martinussen, 1996).…”

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confidence: 99%

Pilot Candidate Selection Method

Carretta

2011

Aviation Psychology and Applied Human Factors

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In 1993, the US Air Force implemented the Pilot Candidate Selection Method (PCSM) as an additional indicator of pilot training aptitude. PCSM scores have been shown to be related to several pilot training criteria including graduation/elimination, flying grades, class rank, and number of flight hours needed to complete training ( Carretta & Ree, 2003 ). The PCSM composite is still in use today, but the scores that contribute to it have changed. The study reported here examined the predictive validity of the current composite versus several training performance measures for 883 students attending Specialized Undergraduate Pilot Training (SUPT). Results indicated that the PCSM composite remained predictive of flying training performance despite changes in test content and flying training. After correction for multivariate range restriction and dichotomization of the graduation/elimination criterion, the correlation between the PCSM composite and T-6 completion was .53. This is consistent with the value of .46 reported by Carretta and Ree (2003) for an earlier version of the PCSM composite. Its predictiveness can be attributed to the measurement of factors that have consistently shown a relation to flying performance: cognitive ability, aviation job knowledge/experience, and psychomotor ability.

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“…Over the years, research has shown that cognitive, psychomotor, and biodata instruments have been among the best predictors of pilot performance, whereas personality measures have tended to be less predictive. For example, Hunter and Burke (1992) conducted a meta-analytic investigation of predictors of pilot performance and found that pilot performance correlated with cognitive tests (r = .19), psychomotor tests (r = .30), biodata inventories (r = .26), and personality inventories (r = .12). More recently, Martinussen (1996) summarized validation results from 50 studies and found relatively comparable results.…”

Section: Pilot Selectionmentioning

confidence: 99%

Selecting Pilots With Crew Resource Management Skills

Hedge¹,

Bruskiewicz²,

Borman³

et al. 2000

The International Journal of Aviation Psychology

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For years, pilot selection has focused primarily on the identification of individuals with superior flying skills and abilities. More recently, the aviation community has become increasingly aware that successful completion of a flight or mission requires not only flying skills but the ability to work well in a crew situation. This project involved development and validation of a crew resource management (CRM) skills test for Air Force transport pilots. A significant relation was found between the CRM skills test and behavior-based ratings of aircraft commander CRM performance, and the implications of these findings for CRM-based selection and training are discussed.

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Meta Analysis of Aircraft Pilot Selection Measures

Cited by 11 publications

References 32 publications

Multiple test batteries as predictors for pilot performance: A meta‐analytic investigation

Multiple test batteries as predictors for pilot performance: A meta‐analytic investigation

Pilot Candidate Selection Method

Selecting Pilots With Crew Resource Management Skills

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