Spring 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 email@example.com.
For more information about the one-credit courses, please see our frequently asked questions:
BBH 597 - 005 Statistical Analysis of Ambulatory Assessment Data
Schedule Number: 005864
Instructors: Michael Russell, PhD, Research Associate, The Methodology Center
Time and Location: Weds 6:00-9:00 Willard Building 071
Prerequisites: Familiarity with multiple linear regression and logistic regression
Enrollment limited to 15 students
Course Description: This course will provide students with conceptual and methodological overview of analytic techniques for ambulatory assessment data. Upon successful completion of this course, students will be able to conceptualize research questions in an ambulatory assessment framework, match the appropriate analytic technique to the research question, and interpret model results. Each class will consist of a didactic component followed by a laboratory exercise in which students will be able to apply the techniques they have learned. Students will be graded on in-class participation, completion of lab assignments, and a short research paper. The research paper will be based on an ambulatory assessment analysis project that each student will conceptualize, with the guidance of the instructor, and develop as the course goes on. The syllabus will list journal article and book chapter readings for each week that will be relevant to material presented in class and will serve as valuable resources in the future. Students will also be provided with sample SAS code that will serve as a reference for future analyses with ambulatory assessment data.
Bolger, N., Laurenceau, J-P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. New York: Guilford Press.