Browsing by Author "Buttrey, Samuel E."

Now showing 1 - 4 of 4
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    Africa Knowledge, Data Source, and Analytic Effort (KDAE) Exploration
    Deveans, T.; Lechtenberg-Kasten, S.; Buttrey, Samuel E.; Fricker, Ronald D. Jr.; Appleget, J. A.; Kulzy, W. W. (Tradoc Analysis Center, 2012-08)
    The TRADOC Analysis Center (TRAC), Naval Postgraduate School (NPS), and other Department of Defense (DoD) organizations are currently conducting large data capture and analysis efforts on areas all around the world. As efforts in the US Central Command (CENTCOM) Area of Responsibility (AOR), particularly in both Iraq and Afghanistan draw down, many senior decision makers expect that the US African Command (AFRICOM) AOR will be the focus of future efforts in the coming years. This project will first build an assessment framework focused on the AFRICOM AOR identifying what data we would ideally like to gather and measure in a COIN environment, and then by actually gathering the data points from a multitude of sources we can identify gaps in the available data. Concurrently, this effort will develop the necessary software within the DaViTo (Data Visualization Tool), an open source, government owned exploratory data analysis tool, in order to allow the end user to construct an assessment framework utilizing a customized weighting scheme along with the ability to display results. Finally, this project will develop a scenario methodology and a small Proof of Principle use case in Nigeria by conducting factor analysis of survey data and will use Generalized Linear Models (GLMs) in order to predict future issue stance scores and observed attitudes and behaviors of the population that will directly support TRAC’s Irregular Warfare Tactical Wargame (IW TWG).
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    Assessing the Effects of Individual Augmentation (IA) on Active Component Navy Enlisted and Officer Retention
    Fricker, Ronald D. Jr.; Buttrey, Samuel E. (Naval Postgraduate School, 2008-08)
    This report summarizes the results of an analysis of whether individual augmentation (IA) deployment affects retention rates for Navy enlisted personnel and junior officers. The analysis compared retention rates between those personnel who have been deployed via IA to equivalent cohorts of Navy personnel who have not been on an IA deployment. Retention rates were compared in three different ways: aggregate comparisons, comparisons by individual demographic categories, and comparisons based on standard statistical modeling techniques (logistic regression), in order to simultaneously control for all the demographic and other observable characteristics. Overall, the analysis found little evidence that IA deployment is hurting retention rates among those who have experienced one or more IA deployments. In fact, in almost all of the comparisons, the retention rates of those who have had one or more IA deployments were higher than the retention rates of their Navy colleagues who have only been on conventional Navy deployments. The only categories where lower retention rates were definitively identified were for E-3s and E-4s, though the decrease in retention rates was only about one percent.
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    Future Navy Recruiting Strategies
    Fricker, Ronald D. Jr.; Buttrey, Samuel E.; Alt, J. K. (Naval Postgraduate School, 2015)
    Based on information gathered from the United States armed services, the Royal Navy and the Australian Defence Force, best practices in corporate America, and the academic literature, this report provides forward leaning practices and actionable recommendations to Commander, Navy Recruiting Command (CNRC). The goal is to improve and best align Navy Recruiting practices for the Millennial and post-Millennial generations. To achieve this, we: (1) identified and evaluated past alternative recruiting efforts, (2) assessed the literature on trends in the Millennial and post-Millennial generations, and (3) synthesized this information to pose future Navy recruiting strategies. Ultimately, this report concludes that the military recruiting community must establish a program of research and experimentation in order to learn how to improve military recruiting.
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    Visualization for Sociocultural Signature Detection
    Fricker, Ronald D. Jr.; Evans, Williams; Buttrey, Samuel E. (Mitre Corporation, 2014)