File:CONTINUATION STUDY FOR THE SELECTED MARINE CORPS RESERVE (IA continuationstud1094559629).pdf
Original file (1,275 × 1,650 pixels, file size: 1.55 MB, MIME type: application/pdf, 78 pages)
Captions
Captions
Summary
[edit]CONTINUATION STUDY FOR THE SELECTED MARINE CORPS RESERVE
(   ) |
|
|---|---|
| Author |
Brose, Lily M. |
| Title |
CONTINUATION STUDY FOR THE SELECTED MARINE CORPS RESERVE |
| Publisher |
Monterey, CA; Naval Postgraduate School |
| Description |
This continuation study follows a cohort of Marines who enlisted in the Selected Marine Corps Reserve (SMCR) in FY09. For the purposes of this thesis, continuation is defined as members lost to other reserve or active Marine Corps components. These options include transferring to the Individual Ready Reserve (IRR), Active Reserve (AR), Active Component (AC), Individual Mobilization Augmentee (IMA), or leaving the Marine Corps Reserve altogether. Every person in this population was on a 6x2 contract (six-year commitment to the SMCR and the remaining two served in the SMCR or IRR). This study implements two logistic regressions and classification trees at different career milestones. The main research goal is to identify significant impacts of mobilization, prior service history, and demographics on the continuation rates of Reserve enlisted. At the six-year mark, a combat deployment history and rank (relative to E-1) have a positive impact on transferring to another component. Furthermore, being a minority or living in the Western U.S. (relative to the Northeast) has a negative impact on continuation. The classification tree found rank and deployment rate to be the best classifiers of SMCR retention. At the eight-year mark, average conduct score has a positive impact on continuation, while number of dependents and commissioning status have negative impacts on continuation. The classification tree found average conduct score and deployment rate to be the best classifiers. Subjects: retention; continuation; Marine Corps Reserve; Selected Marine Corps Reserve; logistic regression; classification tree |
| Language | English |
| Publication date | June 2018 |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
| Accession number |
continuationstud1094559629 |
| Source | |
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
Licensing
[edit]
|
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
|
 |
| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 07:43, 16 July 2020 |  | 1,275 × 1,650, 78 pages (1.55 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection continuationstud1094559629 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #12281) |
You cannot overwrite this file.
File usage on Commons
The following page uses this file: