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Session Submission Type: Paper Session 100min
Continuing progress in sociological methodology involves both advances in addressing long-standing problems and new approaches that suggest novel research directions. This session features a combination of both types of contributions, ranging from classic issues relating to problems such as survey implementation and imputation of missing data to new developments making use of simulation, machine learning, and Bayesian techniques. From a priori modeling, to data collection, coding, and analysis, these contributions highlight advances spanning all phases of the research cycle.
Network diffusion under homophily and consolidation as a mechanism for social inequality - Filiz Garip, Cornell University
Revisiting Dillman: Does the Design and Personalization of Mailed Invitations influence Online Survey Response Rates? - Brock Ternes, SUNY Cortland; Todd D. Little, Texas Tech University
How to Borrow Information across Unlinked Data? A Relative Density Approach for Predicting Unobserved Distributions - Siwei Cheng, New York University
Using Deep Learning to Identify Collective Action Events with Text and Image Data from Social Media - Han Zhang, Princeton University; Jennifer Pan, Stanford University
Bayesian Multistate Life Table Methods for Complex, High-Dimensional State Spaces - Emma Zang, Yale University; Scott M. Lynch, Duke University