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Early childhood

Robert C. Carr, Margaret Burchinal, Lynne Vernon-Feagans.

A systematic review of the literature (1965–2022) and meta-analysis were undertaken to compare the school readiness skills of children participating in public pre-kindergarten (pre-K) or Head Start. Seven quasi-experimental studies met the inclusion criteria for the meta-analysis and 38 effect sizes were analyzed. Results indicated no reliable meta-analytic effect in relation to children’s school readiness skills overall nor in relation to language, mathematics, or social-behavioral skills specifically. A small, positive meta-analytic effect favoring public pre-K compared to Head Start participation was found in relation to children’s emergent literacy skills (Hedges’ g = 0.17). Strategies are discussed to further equate the benefits of public pre-K and Head Start programming by facilitating greater cross-sector collaboration.

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Meghan McCormick, Mirjana Pralica, JoAnn Hsueh, Christina Weiland, Amanda Weissman, Samantha Xia, Anna Shapiro, Cullen MacDowell, Samuel Maves, Anne Taylor, Jason Sachs.

This study leverages six years of public prekindergarten (PreK) and kindergarten data (N = 22,469) from the Boston Public Schools (BPS) to examine enrollment in BPS PreK from 2012–2017 for students from different racial/ethnic, socioeconomic, and linguistic groups. The largest differences in enrollment emerged with respect to race and ethnicity—and for enrollment in programs in higher-quality schools (defined as schools scoring in the top quartile on third grade standardized tests)—with disparities increasing over time. Although there were no differences across groups in proximity to BPS PreK programs in general, Black students lived about a quarter of a mile further than their White peers from the nearest program in a higher-quality school, with gaps widening over time. Closer proximity was associated with a higher likelihood of enrollment in a program in a higher-quality school. Implications for future research and policy are discussed.

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Christina Weiland, Rebecca Unterman, Susan Dynarski, Rachel Abenavoli, Howard Bloom, Breno Braga, Anne-Marie Faria, Erica Greenberg, Brian A. Jacob, Jane Arnold Lincove, Karen Manship, Meghan McCormick, Luke Miratrix, Tomás E. Monarrez, Pamela Morris-Perez, Anna Shapiro, Jon Valant, Lindsay Weixler.

Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs.  Our collaborative network of five research teams applying this design in early education and methods experts has identified six challenges that need to be carefully considered in this next context: 1) available baseline covariates may not be very rich; 2) limited data on the counterfactual; 3) limited and inconsistent outcome data; 4) weakened internal validity due to attrition; 5) constrained external validity due to who competes for oversubscribed programs; and 6) difficulties answering site-level questions with child-level randomization.  We offer potential solutions to these six challenges and concrete recommendations for the design of future lottery-based early education studies.

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Bobby Chung, Liwen Chen, Guangwha Wang.

Increased exposure to gender-role information affects a girl's educational performance. Utilizing the classroom randomization in Chinese middle schools, we find that the increased presence of stay-at-home peer mothers significantly reduces a girl's performance in mathematics. This exposure also cultivates gendered attitudes towards mathematics and STEM professions. The influence of peer mothers increases with network density and when the girl has a distant relationship with her parents. As falsification tests against unobserved confounding factors, we find that the exposure to stay-at-home peer mothers does not affect boys' performance, nor do we find that stay-at-home peer fathers affect girls' outcomes.

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Christina Weiland, Meghan McCormick, Jennifer Duer, Allison Friedman-Kraus, Mirjana Pralica, Samantha Xia, Milagros Nores, Shira Mattera.

Nearly all states with public prekindergarten programs use mixed-delivery systems, with classrooms in both public schools and community-based settings.  However, experts have long raised concerns about systematic inequities by setting within these public systems.  We used data from five large-scale such systems that have taken steps to improve equity by setting  (Boston, New York City, Seattle, New Jersey, and West Virginia) to conduct the most comprehensive descriptive study of prekindergarten setting differences to date. Our public school sample included 2,395 children in 383 classrooms in 152 schools, while our community-based sample is comprised of 1,541 children in 201 classrooms in 103 community-based organizations (CBOs).  We examined how child and teacher demographic characteristics, structural and process quality features, and child gains differed by setting within each of these systems.  We found evidence of sorting of children and teachers by setting within each locality, including of children with higher baseline skills and more educated teachers into public schools. Where there were differences in quality and children’s gains, these tended to favor public schools.  The localities with fewer policy differences by setting – NJ and Seattle – showed fewer differences in quality and child gains.  Our findings suggest that inequities by setting are common, appear consequential, and deserve more research and policy attention.  

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Derek Rury.

A student's class rank has important short and long-term effects on important educational outcomes. Despite our growing understanding of these rank effects, we still do not know how early in a child's academic career they begin. To address this, I use data from the Tennessee STAR project, which randomly assigned over 6,323 kindergarteners to classroom environments, to study the impact of kindergarten class rank on a host of short and long-run outcomes. I find a strong, causal relationship between one's kindergarten classroom rank and subsequent test scores, high school achievement and performance on college entrance exams. I also find that having a higher rank in kindergarten causes an increase in study effort, value of school and initiative in the classroom. I also leverage the design of project STAR to test various mechanisms and address several outstanding issues in the rank literature, including the role of tracking, parental effort and teacher-level characteristics in driving the effects of class rank.

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Robert C. Carr, Tyler Watts, Jade M. Jenkins, Yu Bai, Ellen S. Peisner-Feinberg, Clara G. Muschkin, Helen F. Ladd, Kenneth A. Dodge.

Prior research has found that financial investments in North Carolina’s pre-kindergarten (pre-K) program generated positive effects on student reading and math achievement through eighth grade (Bai et al., 2020). The current study examined the interaction between NC Pre-K funding and two key dimensions of the subsequent educational environment students experience in their school districts: average achievement and achievement growth. In relation to student reading and math achievement in eighth grade, the benefits of NC Pre-K funding were found to be additive to the benefits of school-district average achievement. The benefits of NC Pre-K funding were also found to interact with the benefits of school-district achievement growth such that the NC Pre-K effect was larger in school districts with lower rates of growth in academic achievement. These findings suggest that public investments in early childhood education may be particularly beneficial in the long term for children who subsequently experience low-growth schooling environments compared to children in high-growth environments.

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Jordan S. Berne.

Nearly all studies of preschool’s long-run effects examine means-tested programs; little is known about the long-run effects of universal programs. A number of key differences—including population served, scale, and counterfactual options—may cause universal programs to have different effects than previously studied means-tested programs. Using a difference-in-differences framework, I estimate the effects of Georgia’s first-in-the-nation statewide universal pre-K program on adult educational attainment and employment. The program made children 4.5 percent more likely to graduate from high school and 13.7 percent more likely to obtain a bachelor’s degree (although the latter effect is imprecise). I find similar results in a supplemental analysis that uses the synthetic control method. I find no effects on associate degree attainment or employment.

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Justin B. Doromal, Daphna Bassok, Laura Bellows, Anna J. Markowitz.

High rates of teacher turnover in child care settings have negative implications for young children’s learning experiences and for efforts to improve child care quality. Prior research has explored the prevalence and predictors of turnover at the individual teacher level, but less is known about turnover at the center level – specifically, how turnover varies across child care centers or whether staffing challenges persist year after year for some centers. This study tracks annual turnover rates for all publicly funded child care centers that were continuously operating in Louisiana from the 2015-16 to 2018-19 school years (n=575 centers). We document high and variable turnover rates across centers throughout the state: The annual mean turnover rate was 40%, and each year nearly one-third of centers experienced high turnover, that is, lost more than half of their teachers. About 27% of centers experienced high turnover for multiple years in our panel, while 44% of centers did not experience high turnover in any year. Our findings underscore concerns that sustained staffing challenges may hinder efforts to provide high-quality child care.

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Daniela Alvarez-Vargas, Sirui Wan, Lynn S. Fuchs, Alice Klein, Drew H. Bailey.

Despite policy relevance, longer-term evaluations of educational interventions are relatively rare. A common approach to this problem has been to rely on longitudinal research to determine targets for intervention by looking at the correlation between children’s early skills (e.g., preschool numeracy) and medium-term outcomes (e.g., first-grade math achievement). However, this approach has sometimes over—or under—predicted the long-term effects (e.g., 5th-grade math achievement) of successfully improving early math skills. Using a within-study comparison design, we assess various approaches to forecasting medium-term impacts of early math skill-building interventions. The most accurate forecasts were obtained when including comprehensive baseline controls and using a combination of conceptually proximal and distal short-term outcomes (in the nonexperimental longitudinal data). Researchers can use our approach to establish a set of designs and analyses to predict the impacts of their interventions up to two years post-treatment. The approach can also be applied to power analyses, model checking, and theory revisions to understand mechanisms contributing to medium-term outcomes.

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