Theory Construction and Causal Modeling
Thursday, January 17, 2013: 8:00 AM-12:00 PM
Nautilus 1 (Sheraton San Diego Hotel & Marina)
James J. Jaccard, PhD, New York University
This workshop teaches participants strategies for constructing causal models on a conceptual level and provides participants with guidelines for how to statistically analyze data to gain perspectives on those theories. The first part of the workshop describes the building blocks of causal theories. These include direct effects, indirect effects(mediation), moderated causal relationships, spurious relationships,reciprocal causality, and feedback loops. Also considered are
mediated moderation, moderated mediation, and moderated moderation. A range of thought experiments and thinking strategies for generating research ideas using these concepts will be described. The second part of the workshop focuses on issues to consider when
statistically analyzing data to test a causal model. This includes how to translate a path diagram into a set of equations for analysis
through different variants of structural equation modeling as well as key statistical and design factors to consider in the statistical modeling process.