Simultaneous Estimation of Regression Functions for Marine Corps Technical Training Specialties

Stephen B. Dunbar, Shin-Ichi Mayekawa and Melvin R. Novick

Journal of Educational and Behavioral Statistics, 1986, vol. 11, issue 4, 275-292

Abstract: This paper considers the application of Bayesian techniques for simultaneous estimation to the specification of regression weights for selection tests used in various technical training courses in the Marine Corps. Results of a method for m -group regression developed by Molenaar and Lewis (1979) suggest that common weights for training courses belonging to certain general categories are justified in many cases. However, such commonality of regression weights does not appear to hold for all courses in these categories—weights for some training courses remain distinct even after the application of the simultaneous estimation procedure. Thus, a hypothesis of complete generalization of the predictor-criterion relationships across training courses in a given category would only be retained for a carefully selected subset of courses and not for all groups included in the analysis.

Keywords: Simultaneous estimation; m-group regression; personnel selection (search for similar items in EconPapers)
Date: 1986
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:11:y:1986:i:4:p:275-292

DOI: 10.3102/10769986011004275

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