S-030B Intermediate Statistics: Applied Regression and Data Analysis
Katherine E. Masyn
Are scores on high-stakes tests primarily a function of socioeconomic status? Do mandatory seat belt laws save lives? In this course, students will learn how to use a set of quantitative methods referred to as the general linear model--regression, correlation, analysis of variance, and analysis of covariance--to address these and other questions that arise in educational, psychological, and social research. Using dozens of real data sets as catalysts, we will discuss how to (1) formulate interesting research questions; (2) select appropriate statistical techniques; (3) conduct necessary calculations; (4) examine assumptions necessary for the technique to work appropriately; (5) interpret analytic results; (6) identify rival explanations of the results; and (7) summarize the findings in a cogent and convincing argument. Because quantitative skills are learned best through practice, computer-based statistical analyses will be an integral part of the course.
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Prerequisite: An introductory statistics course at the level of S-012/S-010Y or permission of the instructor.