Introduction to Statistical Methods and Models

Undergraduate / Graduate

This course has two purposes. First, using nationally representative US surveys, we'll examine the early emergence of educational inequality and its evolution during adolescence and adulthood. We'll ask about the importance of social origins (parent social status, race/ethnicity, gender, and language) in predicting labor market outcomes. We'll study the role that education and plays in shaping economic opportunity, beginning in early childhood. We'll ask at what points interventions might effectively advance learning and reduce inequality. Second, we'll gain mastery over some important statistical methods required for answering these and related questions. Indeed, this course provides an introduction to quantitative methods and a foundation for other methods courses in the social sciences. We consider standard topics: graphical and tabular displays of univariate and bivariate distributions, an introduction to statistical inference, and commonly arising applications such as the t‐test, the two‐way contingency table, analysis of variance, and regression. However, all statistical ideas and methods are embedded in case studies including a national survey of adult labor force outcomes, a national survey of elementary school children, and a national survey that follows adolescents through secondary school into early adulthood. Thus, the course will consider all statistical choices and inferences in the context of the broader logic of inquiry with the aim of strengthening our understanding of that logic as well as of the statistical methods.