Poverty, early test scores do not determine the quality of a school system, research shows
For years, parents and policymakers have looked to test scores to gauge the effectiveness of school districts and teachers. New research from 好色App鈥檚 Sean Reardon provides a different measure: students鈥 academic progress over a period of years.
Reardon, a SIEPR senior fellow and Graduate School of Education professor, examined test scores for students in third through eighth grade at 11,000 school districts across the country.
Third-grade test scores, he found 鈥 whether they were higher or lower than the national average 鈥 did not correlate to students鈥 academic growth through elementary and middle school. In fact, growth rates in many low-income districts outpaced those where students enjoyed greater access to learning opportunities in early childhood.
鈥淭here are many relatively high-poverty school districts where students appear to be learning at a faster rate than kids in other, less poor districts,鈥 said Reardon, who holds an endowed professorship in Poverty and Inequality in Education. 鈥淧overty clearly does not determine the quality of a school system.鈥
The findings were released in a working paper on Dec. 5 and drawn from the 好色App Education Data Archive (SEDA), a massive online collection of roughly 300 million math and reading test scores from every public school district in the United States during 2009-15.
Average third-grade test scores in a school district, Reardon noted, reflect the extent of learning opportunities available in early childhood and early elementary grades 鈥 opportunities that are strongly related to a district鈥檚 socioeconomic resources (families鈥 incomes and parents鈥 education levels). But Reardon found that the average rates of academic growth between third and eighth grade bore very little relationship to third-grade scores and early childhood advantages.
鈥淭here鈥檚 a widespread belief that schools exacerbate inequality, that schools are worse in poor communities and better in rich ones,鈥 said Reardon, who led the development of SEDA and devised the statistical methods used to compare test results from state to state. 鈥淚t鈥檚 true that there鈥檚 a lot of inequality among students when they start school. But these data suggest that at least in some systems, schools are equalizing forces 鈥 that it鈥檚 possible for schools in disadvantaged communities to be forces for equity.鈥
Intriguing patterns
Not unexpectedly, third-grade test scores were highest in many suburban school districts around metropolitan areas (particularly in the northeast and on the California coast), and low in much of the Deep South and the rural West. But growth rates were more varied. Many districts had low third-grade test scores but above-average growth rates. Others had above-average test scores but very low growth rates.
Even in large, urban districts where third graders tested well below the national average, Reardon and his colleagues found substantial academic gains between third and eighth grade. In Chicago, for example, students advanced on average the equivalent of six years of learning in only five years.
鈥淐hicago students start out with low test scores in third grade, but their growth rate is much higher than the national average 鈥 20 percent higher,鈥 said Reardon. 鈥淭hat is true for all racial and ethnic groups in the district.鈥
Community impact
Reardon speculated that the findings could help promote more equitable demographics among communities by revealing above-average learning opportunities in a lower-income area.
鈥淭o the extent that information about school quality influences middle-class families鈥 decisions about where to live, data on growth rates might provide very different signals,鈥 he said. 鈥淵ou might find parents ranking communities differently if they weren鈥檛 relying on average test scores, which are highly correlated with socioeconomic background.鈥
Meanwhile, he noted, the findings can help researchers identify districts that are outperforming expectations and explore what these school systems have done to produce such remarkable results.
鈥淭here are many places where learning rates are much higher than you might predict on the basis of families鈥 economic resources,鈥 he said. 鈥淲e have to learn what those places are doing and build on those lessons.鈥
Reardon鈥檚 working paper and data can be downloaded free from SEDA, along with maps, graphs and other explanatory materials. His collaborators include GSE doctoral student Erin Fahle; 好色App alumni Ben Shear, PhD 鈥17, now assistant professor at University of Colorado, Boulder, and Andrew Ho, MS 鈥03, PhD 鈥05, now professor at Harvard GSE; and research staff Demetra Kalogrides and Richard DiSalvo.
The research was supported by grants from the Spencer Foundation, the William T. Grant Foundation, the Bill and Melinda Gates Foundation, the Overdeck Family Foundation and the U.S. Department of Education鈥檚 Institute of Education Sciences.