As part of the IES-funded Prekindergarten Through Grade 12 Recovery Research Network, the Georgia Policy Labs has been working to gauge the effects of economic insecurity and health stressors on student engagement and achievement during and after COVID-19 era remote learning. In this guest blog, Dr. Tim Sass, principal investigator of the IES-funded project and Distinguished Professor at Georgia State University, discusses a challenge his research team faced while linking home environment and student academic success, highlighting an obstacle to collecting home background survey data from parents/legal guardians. Dr. Sass shares his team’s practical solution to address this challenge.
The Challenge: Difficulty Collecting Data about Student Home Situation
A major challenge to studying out-of-school factors that contribute to student academic success is the lack of information about a student’s home situation. Standard administrative data barely scratch the surface, providing information on language spoken at home, eligibility for subsidized meals (an admittedly crude measure of poverty), and little else. This lack of information became even more problematic during the COVID-19 pandemic, when students were learning from home, and the pandemic had severe effects on many families’ health and economic well-being.
As part of our project, we focus on identifying the factors associated with student engagement and achievement growth in remote instruction. Our initial strategy was to gather survey data in three of our partner school districts in metro Atlanta. We created a questionnaire to measure student engagement as well as collect information on economic insecurity, health stressors, and protective factors like adult monitoring of student learning at home or hiring a tutor. However, we faced two major challenges that made it difficult for us to collect the information we needed.
The first challenge was creating a process for identifying respondents. Our partners agreed to send out the survey on our behalf, using their established systems for communicating with parents/guardians. Our intent was to make the responses identifiable so we could directly link information gathered from the survey to outcomes for specific students. While one of our partner districts was not comfortable with identifying individual respondents, it agreed to identify respondents’ school of enrollment. A second district agreed to identify respondents, but due to miscommunication within the district, their survey team made the survey anonymous. Finally, the third district agreed to allow linking individual responses to student ID numbers but left it up to parents/guardians to identify their student in the survey, and only about half of respondents filled in their student’s ID number.
The second challenge was the very low response rates: 192 respondents from District A (0.4% response rate), 1,171 respondents from District B (1.2% response rate), and 80 respondents from District C (0.1% response rate). While disappointing, the low response rates are not unique to our study. Other researchers have struggled to get parents/guardians to respond to surveys conducted during the pandemic or shortly after the resumption of in-person instruction.
The Solution: Using Non-School-Based Administrative Data from Multiple Agencies to Complement Survey Data
Given the low response rates and non-identifiable responses, we considered how we could use additional non-school-based administrative data to complement the survey evidence. Through a partnership with researchers from the Atlanta Regional Commission, the Federal Reserve Bank of Atlanta, and the Georgia Institute of Technology, we obtained data from court records on evictions in the Atlanta Metro Area. The data cover four of the five “core” counties in the Atlanta Metro Area, spanning calendar years 2019-21. Over this period, there were approximately 300,000 unique eviction filings across the four-county area, including both households with and without school-aged children. The court records contain a property address and filing date, which were used to match yearly eviction filings to students based on district student address files.
The following table provides counts of students that we successfully linked to eviction filings by district and year. “Experienced Eviction” refers to cases where we directly matched an individual dwelling unit to an eviction filing. In many cases, however, the street address in the eviction filing is for a multi-family structure, and there is not enough information in the filing or in the student address files to directly match a student living in the complex with the unit in which the eviction filing occurred. When this type of match occurs, we designate it as being “Exposed to Eviction.” The “Exposed to Eviction” counts include the instances of “Experienced Eviction.” The “Eviction Rate” is the ratio of “Experienced Eviction” to the total number of students in the district.
|
DISTRICT A
|
DISTRICT B
|
DISTRICT C
|
|
Exper-ienced Eviction
|
Exposed to Eviction
|
Eviction Rate
|
Exper-ienced Eviction
|
Exposed to Eviction
|
Eviction Rate
|
Exper-ienced Eviction
|
Exposed to Eviction
|
Eviction Rate
|
2019
|
2,608
|
12,555
|
0.043
|
3,249
|
22,520
|
0.030
|
32
|
321
|
<0.001
|
2020
|
3,412
|
13,408
|
0.057
|
4,467
|
25,503
|
0.042
|
1,246
|
10,520
|
0.013
|
2021
|
2,251
|
10,789
|
0.041
|
2,929
|
19,514
|
0.029
|
2,323
|
9,842
|
0.024
|
While an eviction filing does not mean that a family was removed from their dwelling, it does indicate that they were at risk of losing their home. Moving forward, we plan to use the eviction filing information as a measure of housing insecurity and economic stress. We will incorporate this metric when estimating models of student achievement growth during the pandemic, and absenteeism and student behavior after students returned to in-person learning. This will give us a sense of the degree to which external factors affected student performance in remote learning as well as the influence of housing and economic insecurity on achievement, engagement, and behavior once students returned to classrooms. Our findings will provide information to school districts and social-service providers on student exposure to economic stress so as to ensure that in-school supports and "wraparound" services are offered to students who need them the most.
This blog was produced by Haigen Huang (Haigen.Huang@ed.gov), program officer at NCER.