![]() Most selected food record-derived nutrient values were significantly associated with scale items confirming criterion validity. The exploratory factor analysis extracted three factors that roughly paralleled the three main subscales, suggesting construct validity. The Cronbach’s alpha measuring internal consistency was acceptable for the overall scale at 0.71. Students analyzed their three-day food intake records using an online USDA application called SuperTracker. Further using these groupings, cut points for "good" and "bad" diets for each of the three main REAP-S v.2 subscales (Food Sufficiency/Food Insufficiency Healthy Eating Pattern and Low Nutrient Density Foods) were calculated using receiver operating characteristics (ROC) analysis. The hierarchical cluster analysis classified healthy and unhealthy diet grouping under each subscale. Criterion validity was evaluated using analysis of variance (ANOVA) that explored the associations between REAP-S v.2 scale item responses and selected nutrient estimates from the food record analyses. ![]() Construct validity was assessed with exploratory factor analysis. We evaluated the reliability and validity of the REAP-S v.2 scale by having first-year medical students ( n = 167) complete both the REAP-S v.2 and a three-day food record and then analyzing their data with the following statistical techniques: Internal consistency was measured using Cronbach's alpha. The University of New England, Institutional Review Board, approved the study protocol. The REAP-S v.2 is an updated version that is aligned with the 2020–2025 US Dietary Guidelines and is easily incorporated into electronic medical records and taught to medical students. ![]() The American Heart Association (AHA) chose the REAP-S dietary screener in 2020 as one of three US dietary screeners recommended for integrating dietary assessment into clinical care. ![]()
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