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Activity Number: 27 - SPEED: Statistical Learning and Data Challenge Part 1
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract #322786
Title: Examining Relationships Between Household Conditions and Educational Outcomes at the District Level
Author(s): Erin Walker Post*
Companies: The University of Iowa
Keywords: public education; beta regression; longitudinal response

Previous studies have shown that household conditions such as poverty and crowdedness can adversely affect student success in public education. Such studies have been conducted at the individual level and have focused on how conditions impact academic and behavioral outcomes for a particular student. We shift our attention to widely available school district rates of poverty, single-parent households, poor internet access, and other "household conditions" and we examine how they vary across the urban and rural areas within the state of Iowa. We will specifically study how household conditions and geography have affected the post-graduation plans (e.g., public/private college, employment) of Iowa's high school graduates over the last decade. Beta regression models are used to estimate the effects of different conditions on the district-level proportions of students pursuing specific post-graduation paths; both point-in-time and longitudinal models are considered. Model results are presented with plots and maps to clearly communicate results and insights.

Authors who are presenting talks have a * after their name.

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