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I__. - International Military Testing Association

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to their decision-making behavior. Instead, in some parameters they show greater variance than<br />

students do. Second, some military subjects reported after the tests that they used the commands<br />

in accordance with their specific military education, and that use of such knowledge hinders a<br />

successful control. In contrast to this, other subjects did learn the specific conditions implemented<br />

in the fire system, and they did well. These data shed light on the different demands<br />

of the fm system, depending on the specific knowledge used while controlling it. Further<br />

investigations are needed to specify system demands and the strategies required to deal with<br />

them successfully.<br />

5. Conclusions<br />

(1) There are individual differences in intellectual abilities that are not covered by the usual<br />

intelligence tests. These differences may be of significance for personnel selection.<br />

(2) There are strategic differences in system control that are related to performance; they are<br />

reliable if the subjects are allowed to control a system in repeated trials.<br />

(3) Simulated systems realize compIex demands that are standardized and replicable. Therefore,<br />

systems offer great advantages over standardized group situations.<br />

(4) Besides some evidence of the external validity of strategies and performance in system<br />

control further theoretical and empirical work needs to be done to specify the demands of real<br />

life situations and their correspondences with system demands.<br />

(5) Far from being able to predict precisely what strategies in system control imply for behavior<br />

in real life situations, I consider the reported approach to be worth further pursuit.<br />

References<br />

Brehmer, B. (1987). Development of mental models for decision in technological systems. In J. Rasmussen, K.<br />

Duncan, & J. Leplat (Ed%), New Technology and Human Error (pp. 11 l-142). Chichester: Wiley.<br />

Domer, D. (1986). Diagnostik der operativen Intelligenz. Diagnostica, 32,290-308.<br />

Domer, D. & Kreuzig, H.W. (1983). Problemlosefahigkeit und Intelligenz. Psychologische Rundschuu, 34,<br />

185-192.<br />

Domer, D. & Reither, F. (1978). iiber das Problem&en in sehr komplexen Realititsbereichen. Zeitschrifr fiir<br />

experimentelle und angewandte Psychologie, 25,527-551.<br />

Funke, J. (1983). Einige Bemerkungen zu Problemen der Problemliiseforschung oder: 1st Testintelligenz doch ein<br />

Pradiktor? Diagnostica, 29,283-302.<br />

Kleinmuntz, D.N. (1985). Cognitive heuristics and feedback in a dynamic decision environment. Management<br />

Science, 31,680-702.<br />

Putz-Osterloh, W. (1981). Ijber die Beziehung zwischen Testintelligenz und Problemlbseerfolg. Zeitschrijifiir<br />

Psychologie, 189,79-100.<br />

Putz-Gsterloh, W. (1987). Gibt es Experten fiir komplexe Probleme? Zeitschriftflir Psychologie, 19.5,63-84.<br />

Putz-Gsterloh, W. & Lemme, M. (1987). Knowledge and its intelligent application to problem solving. The<br />

German Journal of Psychology, II, 286-303.<br />

Strohschneider, S. (1986). Zur Stabilitit und Valid&t von Handeln in komplexen RealiBtsbereichen. Spruche &<br />

Kognition, 5,4248.<br />

367

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