Abstract

Community-based participatory research (CBPR) is an emerging research approach with the aim of increasing sampling of diverse populations in studies. The purpose of this study was to evaluate the psychometric properties of scores on the CBPR Knowledge Self-Assessment Scale (CBPR-KSAS) using Rasch analysis. The scale was completed by 204 participants. The data fit the Rasch model well, were sufficiently reliable and unidimensional, and separated the respondents into four statistically distinguishable groups. The item hierarchy was partially supported theoretically by distinguishing the lower, middle, and upper ends of CBPR knowledge competencies. These results provide empirical support that CBPR knowledge can be conceptualized and measured on a meaningful continuum.

摘要

基于社区的参与式研究 (CBPR) 是一种新兴的研究方法，旨在增加研究中不同人群的抽样。本研究的目的是使用 Rasch 分析评估 CBPR 知识自我评估量表 (CBPR-KSAS) 分数的心理测量特性。该量表由 204 名参与者完成。数据很好地符合 Rasch 模型，足够可靠且一维，并将受访者分为四个统计上可区分的组。通过区分 CBPR 知识能力的低端、中端和高端，项目层次结构在理论上得到了部分支持。这些结果提供了实证支持，即 CBPR 知识可以在一个有意义的连续统一体上被概念化和测量。