Landing Craft Air Cushion (LCAC) Crew Selection System Manual.

Author(s):  
Kathleen T. Helton ◽  
Tatree Nontasak ◽  
Daniel L. Dolgin
Keyword(s):  
Author(s):  
David R. Street ◽  
Kathleen T. Helton

The purpose of our investigation was to determine if personality testing and a five-factor model could improve the selection of Landing Craft Air Cushion (LCAC) vehicle operators. Vehicle operators for the LCAC are currently selected on the basis of their performance on a computer-based psychomotor selection system. The various psychomotor tests in the selection system have demonstrated predictive validity in LCAC crew training. Certain personality characteristics may also be involved in the LCAC vehicle operator training success. In fact, various researchers have found that personality testing may improve the selection of Navy/Marine Corps aviators. There is increasing evidence that a five-factor model may be useful in describing the personality characteristics involved in training success. We believe that a five-factor model may improve the selection system used for LCAC vehicle operators. A principal component analysis with varimax rotation was conducted to determine the underlying structure of the Adult Personality Inventory (API) with 168 LCAC crew candidates. The resulting factor scores were then entered into a series of hierarchical multiple regression analyses to determine the relation of the personality factor scores and the performance-based test to an underway grade in training criterion. The results indicated that one personality factor, openness, significantly improved predictions of the criterion ( p < 0.05). Based on these results, we believe that personality testing may improve the selection of LCAC vehicle operators.


1977 ◽  
Vol 56 (10) ◽  
pp. 26
Author(s):  
RD OWEN
Keyword(s):  

1980 ◽  
Vol 19 (04) ◽  
pp. 187-194
Author(s):  
J.-Ph. Berney ◽  
R. Baud ◽  
J.-R. Scherrer

It is well known that Frame Selection Systems (FFS) have proved both popular and effective in physician-machine and patient-machine dialogue. A formal algorithm for definition of a Frame Selection System for handling man-machine dialogue is presented here. Besides, it is shown how the natural medical language can be handled using the approach of a tree branching logic. This logic appears to be based upon ordered series of selections which enclose a syntactic structure. The external specifications are discussed with regard to convenience and efficiency. Knowing that all communication between the user and the application programmes is handled only by FSS software, FSS contributes to achieving modularity and, therefore, also maintainability in a transaction-oriented system with a large data base and concurrent accesses.


Sign in / Sign up

Export Citation Format

Share Document