S501 | 30097 | Kathryn Whitlock

In Statistical Methods I, we take a systematic approach to the application of statistical concepts to problems commonly encountered in research settings, with the objective of teaching students how to think creatively about the use of statistical methods in their own research. This course is intended for first-year graduate students in programs such as Optometry, Criminal Justice, and Psychology, as well as others, who are interested in reviewing and expanding on introductory statistical knowledge obtained during undergraduate education. After a review of fundamental concepts in statistics (e.g., issues of measurement, probability, estimation, and hypothesis testing), we will turn our attention to regression analysis, including variable selection, model diagnostics, remediation, and validation. Computers are a fundamental tool of modern statistical analysis; thus, students will learn the computing methods and data analysis techniques necessary to apply statistical concepts during weekly computer lab sessions. By the end of this course, students are expected to be able to identify and carry out appropriate statistical analyses, and to interpret results both statistically and in context.