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Cluster analysis has a rich history in many disciplines and although cluster analysis has been used in clinical psychology to identify types of disorders, its use in other areas of psychology has been less popular. The purpose of the current experiments was to use cluster analysis to investigate husband-wife decision making. Cluster analysis was selected to illustrate the point that it can be a beneficial multivariate technique when researching husband-wife decision making by examining similar decision-making strategies used by couples and comparing joint decisions to individual decisions. For the current experiments, participants (26 couples) watched 6 movie trailers and viewed 6 sample restaurant menus. After viewing each, participants indicated how likely they would be to go to view the movie or to eat at the restaurant. Participants completed the task first independently and then jointly. Cluster analysis was used to provide the desired information by (a) forming clusters of couples in general who used common decision-making strategies and (b) forming clusters to show which spouse's decision-making strategy independently was more similar to the joint strategy. Results from the cluster analysis are discussed in light of other statistical procedures commonly used to examine husband-wife decision-making strategies.