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Biodata prediction of municipal poli...

Ostrich, Timothy M.

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Biodata prediction of municipal police academy performance.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Biodata prediction of municipal police academy performance./
Author:	Ostrich, Timothy M.
Description:	93 p.
Notes:	Adviser: Donald Robertson.
Contained By:	Dissertation Abstracts International68-02B.
Subject:	Education, Tests and Measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252061

Biodata prediction of municipal police academy performance.
Ostrich, Timothy M.

Biodata prediction of municipal police academy performance. - 93 p.

Adviser: Donald Robertson.

Thesis (Psy.D.)--Indiana University of Pennsylvania, 2007.

The present study examines the effectiveness of biodata as a predictor of performance for police academy cadets on standard tests administered throughout the course of the academy. Specifically, this study examines biodata's ability to predict performance alone and in conjunction with cognitive and personality test results. In addition, relationships among biodata, cognitive testing, and personality factors are examined.Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

Biodata prediction of municipal police academy performance.
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005 20110622
008 110622s2007 ||||||||||||||||| ||eng d
035 $a (UMI)AAI3252061
035 $a AAI3252061
040 $a UMI $c UMI
100 1 $a Ostrich, Timothy M. $3 1277911
245 1 0 $a Biodata prediction of municipal police academy performance.
300 $a 93 p.
500 $a Adviser: Donald Robertson.
500 $a Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 1350.
502 $a Thesis (Psy.D.)--Indiana University of Pennsylvania, 2007.
520 $a The present study examines the effectiveness of biodata as a predictor of performance for police academy cadets on standard tests administered throughout the course of the academy. Specifically, this study examines biodata's ability to predict performance alone and in conjunction with cognitive and personality test results. In addition, relationships among biodata, cognitive testing, and personality factors are examined.
520 $a Proposed biodata factors were examined through a three-stage process. First, 50 randomly selected interviews of applicants to a police academy coordinated by a university in Pennsylvania were coded to evaluate the proposed coding strategy. Next, a second set of 50 randomly selected interviews of academy applicants were coded by two separate evaluators to examine interrater reliability to refine coding strategies for biodata variables. Finally, scores from the Nelson-Denny Reading Composite and NEO-PI-R five factors, as well as data from individual interviews, were collected from the files of 96 police academy cadets. A factor analysis was conducted on biodata variables, and results of the analyses were utilized to obtain factor scores for each cadet. Academy performance, as measured by the average academy test score for cadets, served as the primary criterion of interest in the present study. In addition, through the use of factor analysis, academy tests were divided into academic and applied categories. Average scores of each academy test factor were then calculated and also utilized as criterion measures of academy performance. Hierarchical regressions were conducted to determine the effectiveness of biodata factors in the prediction of academy performance both alone and combined with measures of cognitive and personality functioning.
520 $a Results indicated biodata is equally effective in predicting academy performance when compared to measures of cognitive ability and personality characteristics. Further, biodata supplies a modest amount of incremental validity in the prediction of academy performance once measures of cognition and personality are partialled out. Correlational data reveals biodata factors generally tap unique aspects of cadets outside of those assessed by the Nelson-Denny and NEO-PI-R. Reliability analyses indicated most biodata variables demonstrated strong interrater reliability.
590 $a School code: 0318.
650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Psychology, Industrial. $3 520063
650 4 $a Psychology, Psychometrics. $3 1017742
650 4 $a Sociology, Criminology and Penology. $3 1017569
690 $a 0288
690 $a 0624
690 $a 0627
690 $a 0632
710 2 $a Indiana University of Pennsylvania. $3 1019203
773 0 $t Dissertation Abstracts International $g 68-02B.
790 $a 0318
790 1 0 $a Robertson, Donald, $e advisor
791 $a Psy.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252061