Pairs & Pairings: Quantitative Methods for Interdependent Data

Catalog description

Foundational course exploring methods for addressing interdependent data: dyadic analysis and social network analysis. CAS 563 Pairs & Pairings: Quantitative Methods for Interdependent Data (3) This graduate seminar is a foundational course exposing students to two quantitative perspectives that are increasingly encountered in the communication research: dyadic analysis and social network analysis. Dyadic analysis and social network analysis attempt to analyze non-independent data, and test concepts such as interpersonal influence, position, role, or social distance and segregation. By the end of the semester students should have an understanding of these perspectives, be able to conduct basic dyadic and social network analyses competently, and be ready to anticipate various boundaries, caveats, and necessary conditions. The ultimate objective of this seminar is to produce informed users and consumers of quantitative research using quantitative methods for handling interdependent data.