娱乐
操作化
范畴变量
验证性因素分析
心理学
星团(航天器)
集合(抽象数据类型)
度量(数据仓库)
统计
计量经济学
地理
计算机科学
结构方程建模
数学
数据挖掘
认识论
哲学
程序设计语言
法学
政治学
作者
Howard W. Harshaw,Nicholas W. Cole,Ashley A. Dayer,Jonathan D. Rutter,David C. Fulton,Andrew H. Raedeke,Rudy M. Schuster,Jennifer N. Duberstein
标识
DOI:10.1080/10871209.2020.1843741
摘要
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.
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