Melanie Goodrich
Quantitative Social Scientist
- Location
- Hawaiian Islands
- Industry
- Research
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Melanie Goodrich's Overview
- Current
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- Associate at Booz Allen Hamilton
- Associate at Booz Allen Hamilton
- Past
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- PhD Candidate at NYU - Department of Politics
- Education
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- New York University
- California Institute of Technology
- Connections
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219 connections
Melanie Goodrich's Summary
Specialties
Substantive: Survey design and data analysis, econometrics, textual and content analysis
Software: Stata, Matlab, R, Python, LaTeX
Melanie Goodrich's Experience
Associate
Booz Allen Hamilton
Public Company; 10,001+ employees; Management Consulting industry
October 2011 – Present (5 months) Hawaiian Islands
As of October 2011, I am based out of Oahu, Hawaii and am supporting clients that require quantitative survey research expertise.
Associate
Booz Allen Hamilton
Public Company; 10,001+ employees; Management Consulting industry
June 2009 – Present (2 years 9 months) Washington D.C. Metro Area
As a member of the Advanced Analytics team, I support government clients who require expertise in the quantitative social sciences. Currently I tend to focus on using surveys to collect data from populations around the world in order to better understand behaviors and attitudes. This includes instrument design, collaborating with in-country vendors to field surveys, as well as cleaning and subsequently analyzing the data collected. In addition to research efforts involving survey data, I have both contributed to and led a variety of R&D projects involving methodologies ranging from multiple-imputation to social network analysis. I have experience working with Department of State as well as multiple organizations within the Department of Defense.
PhD Candidate
NYU - Department of Politics
Educational Institution; 10,001+ employees; Higher Education industry
September 2004 – June 2009 (4 years 10 months)
My graduate studies focused on political methodology, econometrics and American voting behavior. My dissertation, which I defended in June of 2009, examines why independents in the United States fail to identify with either of the two political parties and presents a political model of party identification. In the course of this research I developed a computer assisted algorithm for coding the reponses to open-ended survey questions. I used this algorithm to re-code the responses to the most important problem question asked by the American National Election Studies over the course of approximately 20 years.
Melanie Goodrich's Skills
Melanie Goodrich's Publications
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The Complexity of the California Recall Election
- PS: Political Science and Politics
- January 2004
Melanie Goodrich's Education
New York University
PhD, Politics
2004 – 2009
Dissertation: Developed a coding methodology for open-ended survey responses; used this algorithm to empirically test my theory of partisanship.
Coursework: Quantitative Research in Political Science I & II, Mathematics for Political Scientists, Game Theory and Politics, Applied Econometrics
California Institute of Technology
BS, Business, Economics and Managments
1999 – 2004
Activities and Societies: Board of Control
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