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Carolyn A. Berry; Courtney Abrams; Margaret M. Paul; Rachel E. Massar; Kayla M. Fennelly; Beth C. Weitzman – American Journal of Evaluation, 2025
Qualitative interviews and focus groups are commonly used methods to elicit participants' voices in program evaluations. However, the use of these data-gathering methods can fall short of the goal; even with open-ended questions, the protocols guiding and shaping interviews and focus groups heavily reflect the evaluators' understanding and…
Descriptors: Program Evaluation, Photography, Visual Aids, Interviews
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Hannah R. Thompson; Joni Ladawn Ricks-Oddie; Margaret Schneider; Sophia Day; Kira Argenio; Kevin Konty; Shlomit Radom-Aizik; Yawen Guo; Dan M. Cooper – Journal of School Health, 2025
Background: Data missingness can bias interpretation and outcomes resulting from data use. We describe data missingness in the longest-standing US-based youth fitness surveillance system (2006/07-2019/20). Methods: This observational study uses the New York City FITNESSGRAM (NYCFG) database from 1,983,629 unique 4th-12th grade students (9,147,873…
Descriptors: Physical Fitness, Data Interpretation, Statistical Bias, Youth
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Nadia Stoyanova Kennedy; Boyan Kostadinov; Sandie Han – Mathematics Teaching Research Journal, 2025
This study examines the implementation of a course module that integrated computing and data analysis. The module aimed to engage prospective mathematics teachers in the practice of working with datasets and analyzing data to investigate questions related to local Brooklyn schools, as well as to gain deeper insight into the students and…
Descriptors: Mathematics Education, Mathematics Teachers, Preservice Teachers, Preservice Teacher Education