東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A systems-approach to modeling suici...

Yost-Cataruozolo, Patricia E.

Linked to FindBook

Google Book

Amazon

博客來

A systems-approach to modeling suicide in the military.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A systems-approach to modeling suicide in the military./
Author:	Yost-Cataruozolo, Patricia E.
Description:	122 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-11, Section: B, page: 7011.
Contained By:	Dissertation Abstracts International71-11B.
Subject:	Engineering, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3428866
ISBN:	9781124272665

A systems-approach to modeling suicide in the military.
Yost-Cataruozolo, Patricia E.

A systems-approach to modeling suicide in the military. - 122 p.

Source: Dissertation Abstracts International, Volume: 71-11, Section: B, page: 7011.

Thesis (Ph.D.)--Stevens Institute of Technology, 2010.

As a result of an increase in Army suicides from 2001 through 2008, the Secretary of the Army requested that the Army Science Board (ASB) investigate and recommend a path forward. In response, the ASB completed an extensive literature and data review, as well as a series of interviews with experts on suicide. Based on these, they (Gawron, Miller, Collier, Frager and Kornguth, 2009) identified questions related to potential risk factors for suicide and suicide attempts as well as the data sources to be used to address each question.

ISBN: 9781124272665Subjects--Topical Terms:

626639
Engineering, Industrial.

A systems-approach to modeling suicide in the military.
LDR:02528nam 2200301 4500 001 1400703
005 20111010081904.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124272665
035 $a (UMI)AAI3428866
035 $a AAI3428866
040 $a UMI $c UMI
100 1 $a Yost-Cataruozolo, Patricia E. $3 1679787
245 1 2 $a A systems-approach to modeling suicide in the military.
300 $a 122 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-11, Section: B, page: 7011.
500 $a Adviesr: John V. Farr.
502 $a Thesis (Ph.D.)--Stevens Institute of Technology, 2010.
520 $a As a result of an increase in Army suicides from 2001 through 2008, the Secretary of the Army requested that the Army Science Board (ASB) investigate and recommend a path forward. In response, the ASB completed an extensive literature and data review, as well as a series of interviews with experts on suicide. Based on these, they (Gawron, Miller, Collier, Frager and Kornguth, 2009) identified questions related to potential risk factors for suicide and suicide attempts as well as the data sources to be used to address each question.
520 $a The military databases were made available to address the questions posed by the ASB. The data from the Total Army Personnel Database (TAPDB) were analyzed in this dissertation. The analysis included statistical methods as well as mathematical modeling. The statistical analysis was a set of Chi Square (chi 2) comparisons of TAPDB data on a sample of soldiers for the years 2004 through 2007. The variables which were found to be significantly correlated with suicide or attempt were analyzed further. Those responses that were given most often by the suicide/attempter in the year of the event were considered risk factors; those having fewer responses by the suicide/attempter were considered protective.
520 $a Mathematical modeling was performed using system dynamics techniques. The models are based on application of the multiple variables present in a system. These variables are connected through a model of causal loops, stocks and flows. The dynamic nature of the model simulates what happens when variables that have shown statistical significance in relation to suicide are applied.
590 $a School code: 0733.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Military Studies. $3 1017606
690 $a 0546
690 $a 0750
710 2 $a Stevens Institute of Technology. $3 1019501
773 0 $t Dissertation Abstracts International $g 71-11B.
790 1 0 $a Farr, John V., $e advisor
790 $a 0733
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3428866