2017
DOI: 10.1016/j.foodpol.2017.08.013
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Lessons learned from the national household food acquisition and purchase survey in the United States

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Cited by 10 publications
(7 citation statements)
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“…Limitations of the FoodAPS data set are explored and described in detail in prior studies (52,53) . Two limitations of particular relevance for this study are FoodAPS' crosssectional nature and its reliance on self-reported food purchase and acquisition data.…”
Section: Limitationsmentioning
confidence: 99%
“…Limitations of the FoodAPS data set are explored and described in detail in prior studies (52,53) . Two limitations of particular relevance for this study are FoodAPS' crosssectional nature and its reliance on self-reported food purchase and acquisition data.…”
Section: Limitationsmentioning
confidence: 99%
“…Future rounds of FoodAPS data collection will undoubtedly benefit from the lessons learned from designing and implementing a comprehensive survey collecting high-quality data on the foods acquired by American households. The challenges and obstacles encountered have been documented by a number of articles, including the following: the five evaluation reports previously mentioned (Krenzke and Kali 2016;Li, Van de Kerckhove, and Krenzke 2016;Maitland and Li 2016;Petraglia, Van de Kerckhove, and Krenzke 2016;Yan and Maitland 2016); a report prepared by Mathematica, the original FoodAPS contractor (Cole and Baxter 2016); a journal article outlining the lessons learned (Kirlin and Denbaly 2017); and other methodological studies (e.g., Hu et al 2017). The most fundamental challenges in collecting FoodAPS data include response burden and response rates, response fatigue and underreporting, confirming SNAP participation, measuring income, food identification, and technology limitations.…”
Section: Challenges and Future Directionsmentioning
confidence: 99%
“…These data are crucial for understanding food demand. Although these data have some drawbacks—including store and item coverage (see Kirlin and Denbaly )—they nevertheless have established a benchmark for helping understand how the retail market can impact choices.…”
Section: Foodapsmentioning
confidence: 99%
“…More detail about FAFH data collection can be found in Todd and Sharadin (, pp. 2–5) and Kirlin and Denbaly ().…”
mentioning
confidence: 99%
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