Each quarter a number of special topic seminars are offered in the 291 series for Ph.D. students. Examples include topics such as methods seminar, experimental design, qualitative research, structural equation modeling.

Seeks to facilitate discussion of upcoming Colloquium research papers increasing the likelihood that Ph.D. students are active participants in all of the Colloquia. Active participation enhances exposure of Ph.D. students to visiting scholars.

Analysis of the central theories and theoretical controversies in the field of management. Examination of the formal education for managerial careers and exploration of issues relating to professional careers in research and scholarship in the field of management.

Designed to prepare students for teaching career; incorporates seminars addressing topics of classroom dynamics, syllabus preparation, teaching techniques; establishes mentor relationship with faculty member in student’s teaching area, provides classroom experience and includes option of videotape analysis of teaching style.

An introduction to the fundamentals of social science research: theory development, research design, methods, data management, and writing for scholarly publications; for doctoral students intending scholarly research careers. Involves hands-on practice in formulating hypotheses, designing research, and conducting journal reviews.

Focuses on qualitative research techniques for management. A hands-on course that includes in-depth/long interviews, visual research methods, participant/non-participant observation, verbal protocols, constructing field notes, multi-media approaches for data gathering and analyses.

Advanced course provides experience in analyzing data from experiments and quasi-experiments in SPSS, including presenting the results and manuscript preparation. Data analysis topics include ANOVA, ANCOVA, repeated measures, logistic regression, chi-square, and tests of mediation.

Provides an overview of the most common techniques for multivariate analysis: principal component analysis, factor analysis, cluster analysis, MANOVA, regression with continuous variables, and regression with discrete variables.

Introduction to the theory and practice of analyzing qualitative data. Students must have already learned about data collection and research design for qualitative research and must have qualitative data they can analyze.

Introduces methods for planning and carrying out scholarly writing.

Introduces some classic game-theoretic models for management research. It is about modeling strategic interactions between business competitors and/or partners in an analytical framework. Various applications will be discussed, e.g., pricing strategies, business alliances, e-commerce, negotiations, and contracts, etc.

Teaches mathematical and conceptual basics of microeconomics and application. Covers basics of consumer/firm behavior, static and dynamic imperfect competition. Building of simple mathematical models to gain economic insights into business practices and decisions.

Covers major economic and sociological perspectives guiding the study of organizations (i.e., transaction cost economics, agency theory, institutional theories, organizational ecology, network and diffusion theories, behavioral theories, resource dependence), and examines how different theoretical perspectives are tested.

Overview of the best practices for succeeding in an academic career. Presenting oneself in conversation, in written documents, in research talks, and in teaching.

Individual study under the direction of a selected faculty member.

Limited to teaching assistants.