Multivariate Statistical Analysis

This course introduces undergraduate students to the logic and application of different multivariate statistical analyses, thus expanding on the knowledge of hypothesis testing that they developed in their introduction to statistics class. It stresses how to be intelligent and informed consumers and producers of quantitative social science research. Researchers have employed multivariate statistical techniques to answer socially-relevant questions such as these:

  • How do opinions on abortion differ by one’s political party?
  • Does getting a college degree have the same labor market benefits across racial/ethnic groups?
  • How does discrimination affect health?
  • Does early-life socioeconomic status (SES) matter for midlife health more or less than adult SES?

By the end of the quarter, students should be skilled enough in the art of statistics to address these types of questions. In addition, this course will stress hand calculations and the interpretation and appropriate use of statistics. Students will also use software (STATA) to run statistical operations and learn to interpret the output.


Life Course and Health

This course provides graduate students an overview of sociological theories and interdisciplinary methods for life-course approaches to health. It will cover health outcome measurements, data analysis, study design, and sources of bias as well as substantive topics on aging and health research. This course is intended for graduate students with a basic understanding of life-course health research who wish to gain a more in-depth review of the field. Life-course research is interdisciplinary by nature and design. As such, readings from this emerging area of inquiry are drawn from medical sociology, sociology of aging and the life course, demography, epidemiology, psychology, and behavioral genetics.