title: Improving the quality of data from EFNEP participants with low literacy skills: a participant-driven model.
abstract: Low literacy skills and poor evaluation tool readability combined with the stresses of the classroom environment create a high cognitive load for Expanded Food and Nutrition Education Program (EFNEP) participants, resulting in lower quality data. The authors advocate for 9 strategies for improving the participant cognitive load for the evaluation process using the EFNEP Family Record as an example.
authors.affiliation: Nutrition Department, University of California at Davis, Davis, CA. Electronic address: mstownsend@ucdavis.edu.
authors.forename: Marilyn S
authors.initials: MS
authors.lastname: Townsend
authors.affiliation: University of California Cooperative Extension, Moreno Valley, CA.
authors.forename: Chutima
authors.initials: C
authors.lastname: Ganthavorn
authors.affiliation: University of California Cooperative Extension, Pleasant Hill, CA.
authors.forename: Marisa
authors.initials: M
authors.lastname: Neelon
authors.affiliation: University of California Cooperative Extension, Oroville, CA.
authors.forename: Susan
authors.initials: S
authors.lastname: Donohue
authors.affiliation: University of California Cooperative Extension, Bakersfield, CA.
authors.forename: Margaret C
authors.initials: MC
authors.lastname: Johns
mesh_terms: D004034:Diet Surveys / Q000295:instrumentation / Q000379:methods / Q000592:standards; D004522:Educational Status; D006266:Health Education / Q000379:methods*; D006293:Health Promotion / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical; D058996:Quality Improvement; D012107:Research Design
keywords: EFNEP; cognitive load; enrollment form; evaluation; low literacy; low-income