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评估研究中的社区参与:定量测量方法的开发

EVALUATING COMMUNITY ENGAGEMENT IN RESEARCH: QUANTITATIVE MEASURE DEVELOPMENT.

作者信息

Goodman Melody S, Sanders Thompson Vetta L, Johnson Cassandra Arroyo, Gennarelli Renee, Drake Bettina F, Bajwa Pravleen, Witherspoon Maranda, Bowen Deborah

机构信息

Washington University School of Medicine.

Brown School of Social Work, Washington University in St. Louis.

出版信息

J Community Psychol. 2017 Jan;45(1):17-32. doi: 10.1002/jcop.21828. Epub 2016 Dec 13.

DOI:10.1002/jcop.21828
PMID:29302128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5749252/
Abstract

Although the importance of community engagement in research has been previously established, there are few evidence-based approaches for measuring the level of community engagement in research projects. A quantitative community engagement measure was developed, aligned with 11 engagement principles (EPs) previously established in the literature. The measure has 96 Likert response items; 3-5 quality items and 3-5 quantity items measure each EP. Cronbach's alpha is used to examine the internal consistency of items that measure a single EP. Every EP item group had a Cronbach's alpha > .85, which indicates strong internal consistency for all question groups across both scales (quality and quantity). This information determines the level of community engagement, which can be correlated with other research outcomes.

摘要

尽管社区参与研究的重要性此前已得到确立,但用于衡量研究项目中社区参与程度的循证方法却很少。我们开发了一种定量的社区参与度测量方法,该方法与文献中先前确立的11项参与原则(EP)相一致。该测量方法有96个李克特量表响应项;每个EP由3 - 5个质量项和3 - 5个数量项来衡量。克朗巴哈系数用于检验测量单个EP的项目的内部一致性。每个EP项目组的克朗巴哈系数均大于0.85,这表明两个量表(质量和数量)中所有问题组的内部一致性都很强。这些信息确定了社区参与的程度,而这一程度可与其他研究结果相关联。

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