American Journal of Health Education · 2011 · 64 citations · 48 references
Public HealthCardiologyHealth EducationHealth AssessmentHealth LiteracyPreventive CardiologyCardiac AssessmentCardiovascular AssessmentCardiovascular DiseaseCardiovascular HealthHealth Literacy AssessmentHealth Literacy QuestionnairesHealth Literacy ScalesItem ClarityQuestionnaire Item DevelopmentQuestionnaire ReliabilityQuestionnaire ValiditySelf-reported Health LiteracyTranslation To Practice
BACKGROUND: Heart disease is the number one killer of both men and women in the United States, yet a comprehensive and evidence-based heart disease knowledge assessment is currently not available. PURPOSE: This paper describes the 2 phase development of a novel heart disease knowledge questionnaire. METHODS: After review and critique of the existing literature, a questionnaire addressing 5 central domains of heart disease knowledge was constructed. In Phase I, 606 undergraduates completed a 82-item questionnaire. In Phase II, 248 undergraduates completed a revised 74-item questionnaire. In both phases, item clarity and difficulty were evaluated, along with the overall factor structure of the scale. RESULTS: Exploratory and confirmatory factor analyses were used to reduce the scale to 30 items with fit statistics, CFI = .82, TLI = .88, and RMSEA = .03. Scores were correlated moderately positively with an existing scale and weakly positively with a measure of health literacy, thereby establishing both convergent and divergent validity. DISCUSSION: The finalized 30-item questionnaire is a concise, yet discriminating instrument that reliably measures participants' heart disease knowledge levels. TRANSLATION TO HEALTH EDUCATION PRACTICE: Health professionals can use this scale to assess their patients' heart disease knowledge so that they can create a tailored program to help their patients reduce their heart disease risk.
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Coefficient Alpha and the Internal Structure of Tests
Lee J. Cronbach · Psychometrika · 1951 · 43.2K citations · Full text
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Comparative fit indexes in structural models.
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Actual Causes of Death in the United States
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