Identifying Situational Clustering and Quantifying Its Magnitude in Dominant Case Configurations: New Methods for Conjunctive Analysis

Abstract

Steps for conducting Conjunctive Analysis of Case Configurations (CACC) are well documented in the literature; however, methods for identifying and quantifying “situational clustering” vary and are often based on subjective interpretation of a CACC truth table. In response, the current article presents two new techniques that (a) enable researchers to determine whether data used to populate a truth table cluster significantly within dominant case configurations and (b) apply an established metric from the economics literature and modified for configural analysis to quantify its relative magnitude. These new methods are applied to four existing CACC studies, demonstrating how they offer a more systematic, transparent, and replicable approach to analyzing and interpreting case configurations than what is currently used.