Recognizing Patterns of Leisure Constraints: Results from Alternative Analyses

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Abstract
The use of cluster analysis shifts attention away from the “constraints-oriented perspective” typical in leisure constraints research (i.e., how a particular constraint or type of constraint affects leisure choices) and organizes constraints data within a “people-based perspective” that provides the potential to investigate questions about how people encounter, experience, and respond to the array of constraints that influence their leisure behavior. Data from a 1988 Canadian survey conducted by Alberta Recreation and Parks are used to identify the combinations of constraints that emerge from cluster analysis and to compare the results with measures derived from more common manipulations of the data: item-by-item analysis, a “total constraints score,” and factor analysis.