Multimethod Research

Abstract

This article conceptualizes multimethod research as doing cross-case causal inference—statistical analyses, experiments, or Qualitative Comparative Analysis (QCA)—together with within-case causal inference in the form of case studies. In addition, game theoretic multimethod work is explored as combining a game theoretic model with case studies. The role of case studies is to explore causal mechanisms which cannot be captured in the cross-case, for example, statistical analyses. The article then describes the logic of case selection for case studies in order to explore causal mechanisms. Various combinations of X and Y variables are analyzed, some of which are useful for causal mechanism analysis and others which are not. Finally, the Avoid Overdetermination Rule is presented, which deals with issues of confounders, control variables, and alternative explanations.