Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Evaluating military selection and classification systems in the multiple job context

Johnson, Cecil D. and Zeidner, Joseph and Scholarios, Dora (1997) Evaluating military selection and classification systems in the multiple job context. Military Psychology, 9 (2). pp. 169-186. ISSN 0899-5605

Full text not available in this repository. (Request a copy from the Strathclyde author)


This article contrasts 2 research paradigms used in designing and evaluating test batteries and predictor composites for selection and classification in the multiple job context. Selection and classification test batteries such as the Armed Services Voca- tional Aptitude Battery are designed and evaluated primarily in terms of incremental predictive validity. An alternative research paradigm offered by differential assign- ment theory (DAT) uses a standardized mean predicted performance measure as the index of efficiency. A review of the DAT research paradigm and studies applying it to U.S. Army test and performance data forms the focus for a comparison between the findings of predictive validity and DAT research. We suggest that the DAT research paradigm is a more appropriate vehicle for evaluating test batteries and predictor composites used for assignment in the military context.