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15.348

Doctoral Seminar in Research Methods II

3-0-6 units · Graduate

Builds on 15.347 to examine contemporary social research methods in depth. Focuses on making students familiar with the most important quantitative methods (e.g., logit/probit models, models for ordinal and nominal outcomes, count models, event history models).

Spring 2004

Topics

  • Introduction: Course Goals and Logistics
  • Principles: Ordinary Least Squares Regression
  • Applications: Ordinary Least Squares Regression
  • Principles: Models for Binary Outcomes
  • Applications: Models for Binary Outcomes
  • Principles: Models for Counts
  • Applications: Models for Counts
  • Principles: Pooled Cross-Section/Time Series Analysis
  • Applications: Pooled Cross-Section/Time Series Analysis
  • Principles: Basic Concepts of Event History Analysis and Data Structures
  • Principles: Descriptive Statistics for Event History Data
  • Principles: Models for Event History Data
  • Applications: Event History Analysis
  • Review and Wrap-up

Readings

  • LEC #: 1 · TOPICS: Introduction: Course Goals and Logistics · READINGS: Peruse the STATA® Starter Kit , put together by the UCLA Academic Technology Services group. ↗
    Reading assignment
  • Fox, John. “Linear Least Squares Regression.” In Applied Regression Analysis, Linear Models, and Related Methods, 85-111. Thousand Oaks, CA: Sage, 1997. ISBN: 080394540X.
    Listed reading
  • Buy at MIT Press Kennedy, Peter. “The Classical Linear Regression Model” and “Interval Estimation and Hypothesis Testing.” In A Guide to Econometrics . 4th ed., pp. 42-72. Cambridge, MA: MIT Press, 1998. ISBN: 9780262611404. ↗
    Listed reading
  • Friedrich, Robert J. “In Defense of Multiplicative Terms in Multiple Regression Equations.” American Journal of Political Science 26 (1982): 797-833.
    Listed reading
  • LEC #: 3 · TOPICS: Applications: Ordinary Least Squares Regression · READINGS: Datta, Deepak, James G. Guthrie, and Patrick M. Wright. “HRM and Firm Productivity: Does Industry Matter?” Academy of Management Journal (forthcoming February 2005).
    Reading assignment
  • Aldrich, John H., and Forrest D. Nelson. Linear Probability, Logit and Probit Models . Newbury Park, CA: Sage, 1984.
    Listed reading
  • Petersen, Trond. “A Comment on Presenting Results from Logit and Probit Models.” American Sociological Review 50 (1985): 130-131.
    Listed reading
  • LEC #: 5 · TOPICS: Applications: Models for Binary Outcomes · READINGS: Burt, Ronald S. “The Social Origins of Good Ideas.” Working paper, University of Chicago, 2003.
    Reading assignment
  • LEC #: 6 · TOPICS: Principles: Models for Counts · READINGS: Long, J. Scott. “Count Outcomes: Regression Models for Counts” In Regression Models for Categorical and Limited Dependent Variables, 217-250 . Thousand Oaks, CA: Sage, 1997. ISBN: 0803973748.
    Reading assignment
  • LEC #: 7 · TOPICS: Applications: Models for Counts · READINGS: Ziedonis, Rosemarie Ham. “Don’t fence me in: Fragmented markets for technology and the patent acquisition strategies of firms.” Working paper, University of Michigan, 2003.
    Reading assignment
  • Greene, William H. “Models for Panel Data.” In Econometric Analysis. 3rd ed., 612-635. Upper Saddle River, NJ: Prentice Hall, 1997. ISBN: 0130132977.
    Listed reading
  • Halaby, Charles. “Panel Models in Sociological Research: Theory into Practice.” 2004. Forthcoming, Annual Review of Sociology.
    Listed reading
  • LEC #: 9 · TOPICS: Applications: Pooled Cross-Section/Time Series Analysis · READINGS: Bothner, Matthew. “Structure, scale and scope in lobal computer industry.” Unpublished manuscript, University of Chicago, 2003.
    Reading assignment
  • Singer and Willett. “A Framework for Investigating Event Occurrence.” Chapter 9 in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence . New York: Oxford University Press, 2003. ISBN: 0195152964.
    Listed reading
  • Cleves, Mario, William Gould, and Roberto Gutierrez. “The Problem of Survival Analysis.” Chapter 1 in An Introduction to Survival Analysis Using STATA® . Stata Press, 2002. ISBN: 1881228630.
    Listed reading
  • STATA® Corporation. STATA® 8.0: Survival Analysis and Epidemiological Tables (manual). 2003. ISBN: 1881228673. Entry covering -stset-.
    Listed reading
  • Carroll, Glenn R. “Dynamic Analysis of Discrete Dependent Variables: A Didactic Essay.” Quality and Quantity 17 (1983): 425-460.
    Listed reading
  • Singer and Willett. “Describing Discrete-Time Event Occurrence Data” and “Describing Continuous-Time Event Occurrence Data.” Chapters 10 and 13 in ; Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence . New York: Oxford University Press, 2003. ISBN: 0195152964.
    Listed reading
  • Singer and Willett. Chapter 11: “Fitting Basic Discrete-Time Hazard Models” and Chapter 14: “Fitting Cox Regression Models.” In Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence . New York: Oxford University Press, 2003. ISBN: 0195152964.
    Listed reading
  • Cleves, Mario, William Gould, and Roberto Gutierrez. “Parametric Models” and “A Survey of Parametric Regression Models in STATA®.” Chapters 12 and 13 (Sections of accelerated failure time models optional) in An Introduction to Survival Analysis Using STATA® . Stata Press, 2002. ISBN: 1881228630.
    Listed reading
  • Aldrich, John H., and Forrest D. Nelson. Linear Probability, Logit and Probit Models . Newbury Park, CA: Sage, 1984. ISBN: 0803921330.
    Listed reading
  • Singer, Judith D., and John B. Willett. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence . New York: Oxford University Press, 2003. ISBN: 0195152964.
    Listed reading

Prerequisites & course information

Prereq: 15.347 or permission of instructor G (Spring) 3-0-6 units

Sources