Methodological and theoretical problems of micro-analytic studies in political science. Techniques of data collection and assimilation.

The course will introduce students to regression analysis and its application to social science research. Open only to doctoral students.

A theoretical and empirical overview of the American politics field. Theoretical topics include behavioralism, rational choice, political psychology; empirical topics include causality. Open only to doctoral students.

Logic of theory construction, research design, elementary data collection and analysis. Lecture and laboratory.

Sociological measurement, univariate description, elementary correlation, introduction to statistical inference.

Seminar in epistemologies, ethics, and techniques of qualitative research. Critical reading and practice in social observation, interviewing, fieldwork, and research design. Preparation of IRB proposal.

Introduction to the logic and tools of quantitative analysis in sociology; covers the basic elements of designing research, summarizing and exploring patterns in data, and making generalizations about populations based on characteristics of samples.

Introduction to statistical methods appropriate for analyzing economic data: probability theory, random variables and probability distributions, sampling, estimation, statistical inference.

Application of statistical methods to economic data: estimating economic relationships using regression analysis, testing hypotheses involving economic behavior, forecasting economic variables. Prerequisite: ECON 317. Duplicates credit in former ECON 414.

Application of econometric tools using standard econometric software packages for microcomputers; empirical applications to selected economic problems of estimation and inference. Prerequisite: ECON 318.

Experimental methods relying on non-choice data. Design methods of experiments that record information in decision-making and physiological data of emotions. Prerequisites: ECON 620a and ECON 601. Recommended preparation: ECON 616. Graded C/NC.

Experimental methods relying on non-choice data. Design methods of experiments that record information in decision-making and physiological data of emotions. Prerequisites: ECON 620a and ECON 601. Recommended preparation: ECON 616. Graded C/NC.

Synthesis of concepts and applications relating to the analysis of market opportunities and the development of product, promotion, distribution, pricing strategies. Recommended during student's final semesters. Prerequisite: BUAD 307 or MKT 385x.

Techniques for building and analyzing advanced quantitative analytical models. Develop and estimate various state-of-the-art models of consumer choice and firm decisions. Open only to Doctoral students.

Experimental and survey methods for communication study; basic statistical concepts, procedures, and tests.

Epistemological assumptions, design, and beginning methods of quantitative analysis in communication research.

Examination of processes of scholarly research; quantitative and qualitative research methods; faculty mentorship; experiential learning; research proposal writing; careers in research. Sophomore or junior standing in the major. Departmental approval.

Logic and methods of quantitative data analysis in the examination of educational issues and the framing of solutions for them. Open only to Ed.D. students.

Interactive seminar that explores the theoretical underpinnings and practicalities of interviews, portraiture, focus groups, life histories, and cultural biographies. Recommended preparation: introductory statistics.

Evaluating impact. Examination of key assessment theories; planning and implementation of learning and program effectiveness. Prerequisite: EDUC 631. Open only to doctoral students.

Statistical applications applied to the real world; techniques including probability, sampling; hypothesis formation and testing; correlation, and linear regression. Duplicates credit in the former PPD 404.

Applied analytic modeling and data manipulation; visual presentation; interpretation of data; needs assessment and market failure analysis; indexing; extrapolation and simple forecasting; simple risk analysis; benefit-cost analysis. Duplicates credit in the former PPD 473.

Applied multivariate statistics in support of policy, management, and planning problem solving. Includes regression analysis, logit models, and an introduction to time-series models and multi-equation estimation.

Methods used in the analysis of policy methods, including cost benefit analysis, decision and risk analysis, and applied social science methods.