title: Testing Event-Based Forms of Causality.
abstract: Three fundamental types of causal relations are those of necessity, sufficiency, and necessity and sufficiency. These types are defined in contexts of categorical variables or events. Using statement calculus or Boolean algebra, one can determine which patterns of events are in support of a particular form of causal relation. In this article, we approach the analysis of these forms of causality taking the perspective of the analyst of empirical data. It is proposed using Configural Frequency Analysis (CFA) to test hypotheses about type of causal relation. Models are proposed for two-variable and multi-variable cases. Two CFA approaches are proposed. In the first, individual patterns (configurations) are examined under the question whether they are in support of a particular type of causal relation. In the second, patterns that are in support are compared with corresponding patterns that are not in support. In an empirical example, hypotheses are tested on the prediction of sustainability of change in dietary fat intake habits.
authors.affiliation: Michigan State University, 220 Trowbridge Rd, East Lansing, MI, 48824, USA. voneye@msu.edu.
authors.forename: Alexander
authors.initials: A
authors.lastname: von Eye
authors.affiliation: University of Missouri, Columbia, MO, 65211, USA.
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Wiedermann
mesh_terms: D015984:Causality; D006801:Humans; D008960:Models, Psychological
keywords: Configural frequency analysis; Empirical test of causality; Necessary cause; Sufficient and necessary cause; Sufficient cause