Advanced Quantitative Methods
Spring 2025
Details
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3Mode
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Instructors
Carey StapletonDescription
This course will build on students' previous foundations in probability, statistical inference, and linear regression. An introduction to generalized linear models (GLMs) and multilevel (mixed effects/hierarchical) models will be followed by additional advanced topics at the discretion of the instructor. These will include special cases of GLMs and multilevel models and may also consider measurement of latent variables (e.g. factor analysis, IRT).
Eligibility
Notes
Open to DACSS Master's and SBS PhD students; others by instructor permission. Please contact the instructor and DACSS@UMass.edu if you would like to enroll in this class but are not in one of these groups.
This course fulfills a technical elective requirement for the DACSS Master's degree and the DACSS Advanced Certificate.
This course assumes a working knowledge of R. If you do not have a strong background in R (e.g., have not already taken and passed DACSS 601 Data Science Fundamentals or an equivalent), please contact the instructor.
Prerequisite: DACSS 603 or equivalent
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For complete and up-to-date class details, meeting times, and textbook information, search for this class in Spire." Select the class term "Spring 2025 " and subject "Data Analytics and Computation " and enter the class number "51746 ".
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