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EVALUATING COMMUNITY ENGAGEMENT IN RESEARCH: QUANTITATIVE MEASURE DEVELOPMENT
Author(s) -
Goodman Melody S.,
Thompson Vetta L. Sanders,
Arroyo Johnson Cassandra,
Gennarelli Renee,
Drake Bettina F.,
Bajwa Pravleen,
Witherspoon Maranda,
Bowen Deborah
Publication year - 2017
Publication title -
journal of community psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.585
H-Index - 86
eISSN - 1520-6629
pISSN - 0090-4392
DOI - 10.1002/jcop.21828
Subject(s) - cronbach's alpha , measure (data warehouse) , psychology , likert scale , internal consistency , reliability (semiconductor) , quality (philosophy) , community engagement , consistency (knowledge bases) , social psychology , applied psychology , psychometrics , computer science , clinical psychology , developmental psychology , public relations , data mining , political science , power (physics) , philosophy , physics , epistemology , quantum mechanics , artificial intelligence
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.