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SOC 423: General Linear Modeling in R

Sociology · 5 credits

General Linear Models (GLMs) are widely used in the social sciences to understand the relationship between a wide array of characteristics and outcomes in our social world. By combining simple algebraic transformations with the parsimony and interpretability of the linear regression framework, we can begin modeling complex and non-linear relationships with ease. This class will help students learn to deploy appropriate GLMs in the R programming language and interpret the results, enabling them to better understand a wider range of sociodemographic and economic phenomena.

Offered in 3 of the 26 listed terms (Winter 2025 to Winter 2027).

Prerequisites

SOC 304 and SOC 306 and SOC 320

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

Required by (0)

No course lists it as a prerequisite.

Syllabi and course websites

None listed yet.

Instructors

InstructorSectionsTerms
Pendergast, Phil3Winter 2025 to Winter 2027

Every offering in the listed terms (3 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Winter 20270112431Lecture/LabMWF 11:30am-12:50pm · AH 501Pendergast, Phil0/20Face to Face Instruction
Winter 20260112884Lecture/LabMWF 11:30am-12:50pm · AH 005Pendergast, Phil21/20Face to Face Instruction
Winter 20250113702Lecture/LabMWF 11:30am-12:50pm · AH 501Pendergast, Phil15/20Face to Face Instruction