Date on Honors Thesis

Spring 5-3-2023




Data Analytics

Examining Committee Member

Jeffrey Young, PhD, Advisor

Examining Committee Member

Naveen Musunuru, PhD, Committee Member

Examining Committee Member

David Gibson, PhD, Committee Member


Food insecurity is a stark threat that grips our country and affects households throughout our country. Dietary insufficiency manifests itself in ways that affect health and public safety. According to researchers, individuals who suffer from food insecurity have a higher risk of aggression, anxiety, suicide ideation and depression. These problems tend to occur unequally distributed among those households with lower income. In this work, an exploratory analysis within these data sets will be performed to examine the socio-economic, biographical, nutritional, and geographical principal components of food insecurity among survey participants and how the US Supplemental Nutrition Assistance Program (SNAP) effects partakers of this study. Relevant statistical and algorithmic tools will be used such as Self organizing maps (SOMs) and hierarchical clustering will be used for cluster analysis in addition to logistic regression and random forests for propensity score matching. Final results show a positive effect on household wellbeing and increased food spending on SNAP participants.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.