Fall 2017 Classes in Methodology
If you have a question about a specific course, please contact the instructor of that course directly. If you have a general question about the suite of one-credit methodology courses, please email firstname.lastname@example.org.
For more information about the one-credit courses, please see our frequently asked questions:
HDFS 597 - 004 Introduction to Latent Class and Latent Profile Analysis
Schedule Number: 021605
Instructors: Bethany Bray, PhD, Associate Director, The Methodology Center
Time and Location: Mons 6:00-9:00 401 HHD
Enrollment limited to 20 students
Course Description: The goal of this short course is to help students gain the background and skills to be able to address interesting research questions using latent class and latent profile analysis. Latent class theory is conceptually similar to factor analysis. However, in latent class theory, latent variables are categorical, and individuals are sorted into mutually exclusive and exhaustive latent classes based on a set of item responses. Latent class analysis uses categorical indicators to identify underlying subgroups in data and estimate their prevalences, while simultaneously adjusting for measurement error; latent profile analysis is conceptually similar but uses continuous indicators. Class time will be spent in lecture, discussion, and software demonstrations. Laboratory exercises will be provided for students to do outside of class. In addition, students will be required to do a small project. The software used in this course will be (a) a downloadable add-on procedures for SAS Version 9 for Windows: PROC LCA (for latent class analysis), and (b) Mplus (for latent profile analysis).
Schedule Number: 301183
Time and Location: Weds 1:30-4:30 Hershey Medical Center
Prerequisites: Familiarity with multiple linear regression and logistic regression
Enrollment limited to 10 students
Course Description: This course will provide statistical analytical methods in estimating potential or empirical effects of regulation of tobacco (i.e., cigarette consumption, nicotine addiction, pathology, health states). This course will cover skills and tools to construct models for comparing effects under various model assumptions, and project health benefits or harms. This course will also discuss statistical methods of modeling smoking and nicotine dependence and developing cost effectiveness models varying tobacco use and nicotine dependence outcomes. Moreover this course will present models of carcinogenesis based on exposures to tobacco. The primary goal of this course is to enable students to gain an understanding of the potential or anticipated processes and effects by which tobacco regulation may be most effective and least effective in producing public health benefit.