ABSTRACT

Recreation specialization is a framework that can be used to explain the variation among outdoor recreationists’ preferences, attitudes, and behaviors. Recreation specialization has been operationalized using several approaches, including summative indices, cluster analysis, and self-classification categorical measures. Although these approaches measure the multiple dimensions of the framework, they may not reflect the relative contribution of the dimensions to individuals’ degree of engagement. We illustrate an approach that uses second-order confirmatory factor analysis (CFA) factor scores as weights to determine a person’s degree of recreation specialization and compares the CFA-based results to those derived from cluster analysis. This approach permits the use of a broader set of statistical tests when compared to categorical specialization measures and provides information about the distribution of responses. Data were collected from an online survey of eBird registrants from the United States.

摘要

休闲专业化是一个框架，可用于解释户外休闲者的偏好、态度和行为之间的差异。娱乐专业化已使用多种方法进行操作，包括总结性指数、聚类分析和自我分类分类措施。尽管这些方法衡量了框架的多个维度，但它们可能无法反映这些维度对个人参与程度的相对贡献。我们举例说明了一种方法，该方法使用二阶验证性因子分析 (CFA) 因子分数作为权重来确定一个人的娱乐专业化程度，并将基于 CFA 的结果与从聚类分析得出的结果进行比较。与分类专业化措施相比，这种方法允许使用更广泛的统计测试集，并提供有关响应分布的信息。数据来自对美国 eBird 注册人的在线调查。