Using Andersen’S Behavioral Model To Predict Participation In The Supplemental Nutrition Assistance Program (Snap) Among Us Adults
Keywords
Andersen’s behavioral model; Current Population Survey; food insecurity; SNAP
Abstract
Using the 2013 Current Population Survey, this article examines predictors of Supplemental Nutrition Assistance Program (SNAP) participation using an adapted version of Andersen’s behavioral model of service use. All variables were found to be significant. We created a risk index, an index counting the number of predictive characteristics an individual possessed, to calculate predicted probabilities of SNAP participation. For each additional risk factor an individual possessed, the predicted probability increased on average by 0.09. Those possessing 10 or more risk factors had the highest predicted probability (74%) of SNAP participation. This research confirms known predictors of SNAP participation. The risk index demonstrates that it is possible to predict SNAP participation not by which factors an individual possesses but how many.
Publication Date
4-3-2017
Publication Title
Journal of Hunger and Environmental Nutrition
Volume
12
Issue
2
Number of Pages
193-208
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/19320248.2016.1255694
Copyright Status
Unknown
Socpus ID
85007211662 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85007211662
STARS Citation
Vega, Sara Strickhouser; Hinojosa, Melanie Sberna; and Nguyen, Jenny, "Using Andersen’S Behavioral Model To Predict Participation In The Supplemental Nutrition Assistance Program (Snap) Among Us Adults" (2017). Scopus Export 2015-2019. 5446.
https://stars.library.ucf.edu/scopus2015/5446