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Duke University 2009-2010 - Office of the Registrar - Duke University

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370. Applied Multilevel Modeling. Applications <strong>of</strong> multilevel modeling typical in psychology and related disciplines.<br />

Estimation and interpretation <strong>of</strong> models for multilevel data structures, including data generated by clustered and<br />

longitudinal designs. Examination <strong>of</strong> conceptual, substantive, and methodological issues in analyzing multilevel data.<br />

Focus on appropriately conceptualizing, modeling, and reporting research on multilevel data. Training in <strong>the</strong> use <strong>of</strong><br />

relevant statistical s<strong>of</strong>tware. Mandatory weekly lab sessions. Assumes prior graduate training in applications <strong>of</strong> analysis<br />

<strong>of</strong> variance and multiple regression. Consent <strong>of</strong> instructor required. Instructor: Staff. 3 units.<br />

380S. Foundations <strong>of</strong> Behavioral and Computational Neuroscience. Survey and in depth discussion <strong>of</strong> <strong>the</strong> methods,<br />

<strong>the</strong>ory, and current research in <strong>the</strong> field <strong>of</strong> behavioral and computational neuroscience. Emphasis on animal models and<br />

neurobiological underpinnings <strong>of</strong> learning, memory, and cognition. Covers <strong>the</strong> latest developments in research on<br />

neuroanatomical, cellular and molecular substrates <strong>of</strong> behavior with emphasis on <strong>the</strong> influence <strong>of</strong> development,<br />

environment, and experience across <strong>the</strong> lifespan. Instructor: Buhusi, Williams, Staff. 3 units.<br />

381. Data Methods in Cognitive Psychology. Introduction to <strong>the</strong> analysis <strong>of</strong> behavioral data from cognitive research with<br />

a focus on <strong>the</strong> separation <strong>of</strong> accuracy and response strategy. Particular emphasis on Signal Detection Theory and o<strong>the</strong>r<br />

basic statistical decision models. Application <strong>of</strong> Matlab to both basic Monte Carlo simulation and cognitive experiment<br />

generation. Simple estimation <strong>of</strong> <strong>the</strong> parameters <strong>of</strong> decision models using iterative search algorithms and <strong>the</strong> use <strong>of</strong><br />

bootstrap techniques to estimate <strong>the</strong> variability <strong>of</strong> parameter estimates. Investigation <strong>of</strong> <strong>the</strong> basic relationship between<br />

decision models and statistical tests typically used behavioral data analysis such as Student's t-test. Instructor: Staff. 3<br />

units.<br />

390. Proseminar in Academic and Pr<strong>of</strong>essional Psychology. The ethical, teaching, and research components <strong>of</strong> <strong>the</strong><br />

pr<strong>of</strong>ession <strong>of</strong> psychology are issues covered in this course. These include <strong>the</strong> study <strong>of</strong> teaching technology and<br />

techniques; <strong>the</strong> initiation <strong>of</strong> programmic research and <strong>the</strong> attainment <strong>of</strong> federal and private support, interdisciplinary<br />

directions in <strong>the</strong> behavioral and social sciences; clinical ethics; human subjects protections; emerging approaches to<br />

psychological inquiry, and <strong>the</strong> translation <strong>of</strong> research into policies and applications. The format will combine seminar<br />

discussions with presentation by experts and specialists. The understanding <strong>of</strong> <strong>the</strong> full breadth <strong>of</strong> <strong>the</strong> discipline <strong>of</strong><br />

psychology is <strong>the</strong> goal. Instructor: Costanzo. 3 units.<br />

391. Special Topics in Psychology. This seminar is designed to provide students with an opportunity to engage in an<br />

advanced and intensive examination <strong>of</strong> <strong>the</strong> research literature on a special topic in psychology. Specific topics will vary<br />

by semester. Instructor: Staff. 3 units.<br />

392. Special Topics in Psychology. This seminar is designed to provide students with an opportunity to engage in an<br />

advanced and intensive examination <strong>of</strong> <strong>the</strong> research literature on a special topic in psychology. Specific topics will vary<br />

by semester. Instructor: Staff. 3 units.<br />

395. Special Topics in Psychology. Special topics in psychology. Consent <strong>of</strong> instructor required. Variable credit.<br />

Instructor: Staff. Variable credit.<br />

396. Graded Research. 1 to 3 units. Instructor: Staff. Variable credit.<br />

399. Special Readings in Psychology. Consent <strong>of</strong> instructor required. Instructor: Staff. 3 units.<br />

Public Policy<br />

Pr<strong>of</strong>essor B. Kuniholm, Chair (124 Sanford Institute); Pr<strong>of</strong>essor J. Vigdor, Director <strong>of</strong> Graduate Studies (252<br />

Rubenstein Hall); Pr<strong>of</strong>essors Bradley (law), Chafe (history), Clotfelter, Cook, Darity, Dodge, Feaver (Political<br />

Science), Fleishman (law), Hamilton, James, Jentleson, Korstad, B. Kuniholm, Ladd, McClain (political science),<br />

Mickiewicz, Munger (political science), Nechyba (economics), Price (political science), Sanders, Schroeder (law),<br />

Sloan (economics), Thomas (economics), J. Vigdor, Vincent (environment), and Weiner (law); Associate Pr<strong>of</strong>essors<br />

Bennear (environment), Brady (sociology), Conrad, Frankenberg, Kelley, Korstad, Krishna, Mayer, Merli, Pattanayak,<br />

Peck, Pfaff, and Whetten; Assistant Pr<strong>of</strong>essors Ananat, Bellemare, Bermeo, Gassman-Pines, Gibson-Davis, Goss,<br />

Hamoudi, and D. Taylor; Research Pr<strong>of</strong>essors Cook-Deegan and Vaupel; Associate Research Pr<strong>of</strong>essor Pickus;<br />

Assistant Research Pr<strong>of</strong>essor Muschkin; Pr<strong>of</strong>essors <strong>of</strong> <strong>the</strong> Practice Bennent, Brown, Cohen, Glenday, Harris, Johnson,<br />

Joseph, Kelly, Le<strong>the</strong>m, Shukla, Skloot, So, and T. Taylor. Associate Pr<strong>of</strong>essors <strong>of</strong> <strong>the</strong> Practice Charney, Fernholz ,<br />

Krupp, and Schanzer; Adjunct Pr<strong>of</strong>essors Yaggy and Rosch; Lecturers Blount and Rogerson; Research Scholar E.<br />

Vigdor; Visiting Associate Pr<strong>of</strong>essor <strong>of</strong> <strong>the</strong> Practice Schanzer; Visiting Research Scholars Martin-Staple and<br />

Mirovitskaya; Visiting Lecturer D. Kuniholm<br />

The PhD in Public Policy is an applied, interdisciplinary social science degree. Graduates <strong>of</strong> <strong>the</strong> program are<br />

prepared for academic positions in public policy, public administration, and o<strong>the</strong>r policy-oriented schools, and for<br />

Departments, Programs, and Course Offerings 197

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