Predicting With Logistic or Linear Regression: Will It Make a Difference in Who Is Selected for Pilot Training?

Author:

Stauffer Joseph,Ree Malcolm James

Publisher

Informa UK Limited

Subject

Computer Science Applications,Applied Psychology,Aerospace Engineering,Education

Reference14 articles.

1. Aldrich. J. H. & Nelson, F. D. (1984). Lincorpmhabilily, logit, andprobit modek (Sage Univenily Paper serics on Quantitative Applications i n the Social Sciences. No. 07-045). Newbury Park. CA: Sage

2. Bmgden. H. E. (1946). On the inrerpntation of Ule conelalion c~cfficient as a meamre of predictive efficiency. Journul oJEducoliono 1 P ~ r h o l o g y . 37.65-76.

3. Carretta. R. (1992a). Recent developments i n U.S. Air Forcepilot candidateselection and classification. Aviulion. Space. und Env;r,nmenlulMcdicinr. 63. 1 1 12-1 114.

4. Carrella, T. R. (1992b). Short-term retest ~ l i a b i l i l y o f an experimental U.S. Air Force pilot candidate Election tea batwry. The Inlcmofionol Jr,umul ofAviurion P.~cI~lr,lo~y. 2. 161-173.

5. Carretta T. R. & Ree. M. J. (1995). Air Force Officer Qualifying Test validity for predicting pilol training performance. Journul ofBu.sincs~ and P.~ycholopv. 9. 379-388.

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