Academic performance of subsequent schools and impacts of early interventions: Evidence from a randomized controlled trial in Head Start settings

https://doi.org/10.1016/j.childyouth.2012.01.026Get rights and content

Abstract

The role of subsequent school contexts in the long-term effects of early childhood interventions has received increasing attention, but has been understudied in the literature. Using data from the Chicago School Readiness Project (CSRP), a cluster-randomized controlled trial conducted in Head Start programs, we investigate whether the intervention had differential effects on academic and behavioral outcomes in kindergarten if children attended high- or low-performing schools subsequent to the preschool intervention year. To address the issue of selection bias, we adopt an innovative method, principal score matching, and control for a set of child, mother, and classroom covariates. We find that exposure to the CSRP intervention in the Head Start year had significant effects on academic and behavioral outcomes in kindergarten for children who subsequently attended high-performing schools, but no significant effects on children attending low-performing schools. Policy implications of the findings are discussed.

Highlights

► Using data from a cluster-randomized controlled trial in Head Start programs. ► Adopting principal score matching to address the issue of selection bias. ► Significant intervention effects on children attending high-performing schools. ► No intervention effects on children attending low-performing schools.

Introduction

The early school years, especially from kindergarten to third grade, are a critical transitional period not only for promoting children's scholastic and psychosocial development but also for preventing the dissipating effects of earlier interventions (Reynolds et al., 2006, Reynolds et al., 2010). Research has suggested that the benefits of high-quality early interventions can be sustained in later school years and even into adulthood for participants who attend continuing enrichment programs in the early school years, particularly so for those from low-income families, but that benefits tend to fade out by the second or third year of formal schooling for participants who subsequently attend inferior schools (Currie, 2001, Currie and Thomas, 1995, Currie and Thomas, 2000, Lee and Loeb, 1995, Magnuson et al., 2007, Reynolds et al., 2007, Reynolds et al., 2011, Takanishi and Bogard, 2007). Therefore, in the investigation of long-term effects of early childhood interventions, it is important to take into account the role of participants' subsequent school experiences, especially the quality and performance of the schools they attend. Research as to the mechanisms of how later schools promote or hinder the initial gains fostered by early interventions is likely to have important policy implications for the design and improvement of effective interventions targeting disadvantaged children.

However, largely due to the lack of data on the quality or performance of later schools, few empirical studies have examined directly their role in the long-term effects of early childhood interventions. When the data do exist, selection bias remains an important issue. On the one hand, economically disadvantaged children such as Head Start participants tend to attend low-quality or low-performing schools compared to their counterparts, which could undermine their earlier gains (Currie and Thomas, 1995, Currie and Thomas, 2000, Hastings and Weinstein, 2008, Lee and Loeb, 1995, Pigott and Israel, 2005). On the other hand, children's enrollment in higher versus lower performing schools may be endogenous to, or affected by, exposure to an initial treatment such as preschool interventions (Hong & Raudenbush, 2008). Evidence shows that enrollment in schools of different quality is associated with children's later outcomes (Hastings & Weinstein, 2008). As such, analyses that do not consider the role of subsequent schools may result in biased estimates of the long-term effects of early childhood interventions.

We use data from a cluster-randomized controlled trial conducted in Head Start programs, the Chicago School Readiness Project (CSRP), to investigate whether the academic performance of subsequent schools mattered in sustaining the effects of the CSRP intervention on children's academic and behavioral outcomes in kindergarten. As detailed below, in the analyses we employ a principal score matching method to address the issue of selection bias.

Studies conducted over the last two decades and beyond have consistently shown that the benefits of many high-quality early interventions, especially cognitive gains from programs targeting economically disadvantaged children such as Head Start, tend to dissipate after only a few years of formal schooling (see research and reviews by Barnett, 1995, Currie and Thomas, 1995, Currie and Thomas, 2000, Lee and Loeb, 1995, Magnuson et al., 2007, U.S. Department of Health and Human Services (USDHHS), Administration for Children and Families, 2010). A common explanation for the fade-out of initial gains from early interventions is the low-quality of schools that participants subsequently attend (Currie, 2001, Currie and Thomas, 2000, Lee and Loeb, 1995, Magnuson et al., 2007). Research has suggested that children in economically disadvantaged families who attended high-quality preschool programs such as Head Start were systematically more likely to attend low-quality and low-performing schools compared to their counterparts, which may be due to residential proximity, parental expectations of low return to education, and budget constraints in educational spending (Currie and Thomas, 1995, Currie and Thomas, 2000, Hastings and Weinstein, 2008, Lee and Loeb, 1995, Pigott and Israel, 2005). For example, evidence from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (ECLS-K), a nationally representative sample, shows that compared to other children, Head Start participants tended to attend schools with lower average levels of socio-economic status, lower achievement in math and reading, more minority children, and more children eligible for free lunch (Pigott & Israel, 2005).

From the perspectives of life cycle skill formation and human capital accumulation, as well as developmental cascades theory, continuing and enriching school environments can facilitate the ongoing skill acquisition and school achievement of children with skill advantages gained from high-quality early interventions, and can also compensate for the skill deficits experienced by at-risk children at school entry (Cunha et al., 2006, Hamre and Pianta, 2005, Magnuson et al., 2007, Masten and Cicchetti, 2010). As a result, high-performing schools that children attend subsequent to preschool interventions may be able to reinforce their initial gains and make early interventions more effective (Cunha et al., 2006). For example, recent results from the Child-Parent Center (CPC) Early Education Program, which included services for low-income children from age 3 to third grade, demonstrated that continuing intervention strengthened learning gains from preschool and was independently associated with school performance leading to adult well-being (Reynolds et al., 2011). In contrast, low-quality learning environments and unchallenging programs may undermine children's earlier gains and the advantages fostered by initial interventions (Currie and Thomas, 2000, Lee and Loeb, 1995).

In these and some other studies on the role of schools, school academic performance has typically been indexed by the percentage of students meeting or exceeding performance benchmarks in standardized tests of math or reading (Currie and Thomas, 2000, Hanushek, 1986, Lee and Loeb, 1995). Families as well as educators recognize the importance of test-score-based ratings of school quality with academic performance of schools serving as one of the most important factors in parents' school choices (Schneider et al., 1998, Weidner and Herrington, 2000). Evidence from experimental studies shows that parents in low-income families were more likely to choose higher-performing schools if they received direct information on school test scores (Hastings & Weinstein, 2008). Other studies have shown that when low school performance information was publicly disseminated, students, especially those from low-income neighborhoods, were more likely to switch their schools (Friesen et al., 2011, Howell, 2006). Moreover, high-performing schools appear to make significant differences in the experiences and outcomes of low-income children. For example, high-performing schools, especially those in low-income neighborhoods, have been associated with a more caring and nurturing environment characterized by high expectations for staff and students, effective leadership, committed teachers, and a strong focus on academics, instruction, and student learning (Carter, 2000, Kannapel and Clements, 2005, McGee, 2004, Wolf and Hoople, 2006). Experimental studies found that attending high-performing schools significantly increased low-income students' test scores (Hastings & Weinstein, 2008).

Although the role of school academic performance in the long-term effects of early interventions has received increasing attention recently, few empirical studies have been conducted to investigate their role directly. One common challenge is that the chance of attending higher- versus lower-performing schools may differ for participants and non-participants, which may, in turn, contribute to the long-term outcomes of interest. As described above, the probability of children's subsequent enrollment in higher- versus lower-performing schools may be systematically different for economically disadvantaged children compared to their counterparts, and importantly, may also be a function of the initial intervention. For example, the cognitive and social-emotional benefits that participants gain from high-quality preschool interventions may motivate their parents to pursue better schools. In the CSRP, children in the intervention group had significantly better developmental outcomes than those in the control group at the end of the 9-month intervention during the Head Start year, including improvement in self-regulation and academic skills as well as reductions in emotional and behavioral difficulties (Raver et al., 2009, Raver et al., 2011). In addition, preliminary evidence suggests that children in the CSRP intervention group were significantly more likely to enroll in high-performing schools in kindergarten than children in the control group, even after adjusting for child and mother covariates as well as teacher and classroom characteristics in Head Start year (Zhai & Raver, 2010). Taken together, these results suggest that we run the risk of incorporating considerable bias into our estimates of the long-term effects of the initial intervention unless we also take the performance of those subsequent schools into account in our models. The present study therefore takes careful steps to minimize the risk of this bias, as we outline below.

In this study, we use data from the CSRP to investigate whether exposure to the intervention during the Head Start year had differential effects on children's academic (i.e., language, literacy, and math) and behavioral outcomes (i.e., internalizing and externalizing behavior problems) in kindergarten if children subsequently attended either high- or low-performing schools. To do this we conduct separate analyses for children who subsequently attended high-performing schools and for those who were enrolled in low-performing schools, and then examine whether the CSRP intervention effects were different between these two groups of children.

Building on prior research (Currie and Thomas, 2000, Hanushek, 1986, Lee and Loeb, 1995), we define low- and high-performing schools based on school-level aggregates of students' standardized test scores. As detailed below, we adopt a principal score matching method to address the issue of selection bias and control for a set of child, mother, and classroom covariates.

Section snippets

Procedure and participants

The CSRP used a clustered randomized controlled trial (RCT) design and a pairwise matching procedure (Bloom, 2005). Two cohorts of children and teachers from 18 Head Start sites in seven of the most economically disadvantaged neighborhoods of Chicago participated in the CSRP intervention. Cohort One (from 10 Head Start sites) participated from fall to spring in 2004–05 and Cohort Two (from 8 Head Start sites) participated from fall to spring in 2005–06. Nine pairs of matched sites were first

Descriptive statistics

Table 1 shows the descriptive statistics (i.e., means) of covariates in the full analysis sample (n = 361) and subsamples by CSRP intervention condition and matching status. It also presents the statistical significance levels from t-tests of the mean differences between high- and low-performing schools, respectively, in Column (a) “Intervention” and Column (b) “Full Control” (i.e., control group before matching) with statistical significance levels indicated in Column (b), as well as the mean

Discussion

Using a subsample from the original CSRP cluster-randomized evaluation and a principal score matching method to address the issue of selection bias, we find that the CSRP intervention in the Head Start year had significant effects on academic and behavioral outcomes in kindergarten for children who subsequently attended high-performing schools, but no effects on children attending low-performing schools.

How can these different sets of findings be reconciled? Children who were enrolled in CSRP

Acknowledgments

The project described was supported by Award Number R01HD046160 from the Eunice Kennedy Shriver National Institute of Child Health & Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Eunice Kennedy Shriver National Institute of Child Health & Human Development or the National Institutes of Health. The Chicago School Readiness Project is not associated with The Chicago School®, which is a trademark of The

References (72)

  • T.M. Achenbach et al.

    Manual for the ASEBA school-age forms & profiles

    (2001)
  • J. Barnard et al.

    Principal stratification approach to broken randomized experiments: A case study of school choice vouchers in New York City

    Journal of the American Statistical Association

    (2003)
  • W.S. Barnett

    Long-term effects of early childhood programs on cognitive and school outcomes

    The Future of Children

    (1995)
  • Blair, C., & Raver, C. C. (in press). Child development in the context of poverty: Experiential canalization of brain...
  • H.S. Bloom

    Learning more from social experiments: Evolving analytic approaches

    (2005)
  • U. Bronfenbrenner et al.

    The bioecological model of human development

  • S.C. Carter

    No excuses: Lessons from 21 high-performing, high-poverty schools

    (2000)
  • J. Currie

    Early childhood intervention programs: What do we know?

    Journal of Economic Perspectives

    (2001)
  • J. Currie et al.

    Does Head Start make a difference?

    American Economic Review

    (1995)
  • J. Currie et al.

    School quality and the longer-term effects of Head Start

    Journal of Human Resources

    (2000)
  • R.H. Dehejia et al.

    Causal effects in nonexperimental studies: Reevaluating the evaluation of training programs

    Journal of the American Statistical Association

    (1999)
  • R. Dehejia et al.

    Propensity score matching methods for non-experimental causal studies

    The Review of Economics and Statistics

    (2002)
  • D. Deming

    Early childhood intervention and life-cycle skill development: Evidence from Head Start

    American Economic Journal: Applied Economics

    (2009)
  • L.M. Dunn et al.

    Peabody picture vocabulary test

  • C.E. Frangakis et al.

    Principal stratification in causal inference

    Biometrics

    (2002)
  • J. Friesen et al.

    Does public information about school quality lead to flight from low-achieving schools?

    (2011)
  • C. Gibbs et al.

    Does Head Start do any lasting good? NBER Working Paper #17452, and forthcoming

  • G.D. Gottfredson et al.

    Implementation and evaluation of a cognitive–behavioral intervention to prevent problem behavior in a disorganized school

    Prevention Science

    (2002)
  • S. Guo et al.

    Propensity score analysis: Statistical methods and applications

    (2009)
  • B.K. Hamre et al.

    Can instruction and emotional support in the first-grade classroom make a difference for children at risk of school failure?

    Child Development

    (2005)
  • E. Hanushek

    The economics of schooling: Production and efficiency in public schools

    Journal of Economic Literature

    (1986)
  • T. Harms et al.

    Early childhood environment rating scale

    (2003)
  • J.S. Hastings et al.

    Information, school choice, and academic achievement: Evidence from two experiments

    The Quarterly Journal of Economics

    (2008)
  • L.J. Hill et al.

    A comparison of experimental and observational data analyses

  • L.J. Hill et al.

    Differential effects of high-quality child care

    Journal of Policy Analysis and Management

    (2002)
  • G. Hong et al.

    Causal inference for time-varying instructional treatments

    Journal of Educational and Behavioral Statistics

    (2008)
  • Cited by (65)

    • Relative and absolute wealth mobility since birth in relation to health and human capital in middle adulthood: An analysis of a Guatemalan birth cohort

      2021, SSM - Population Health
      Citation Excerpt :

      Combined interventions of nutritional supplementation and early childhood education could yield substantial benefits (Black et al., 2017; Larson & Yousafzai, 2017; Yousafzai et al., 2016). Additionally, gains from early life interventions could be lost if structural investments for upward social mobility (such as infrastructure) and safety nets protecting against downward mobility (such as ensuring quality and performance of subsequent schools) are absent, as shown in evaluations of the US Head Start program, reinforcing the need for continued interventions through the life course (Zhai et al., 2012). The scenario of rising living standards with persistence of relative deprivation presents an opportunity to examine the roles of psychosocial and neo-materialistic frameworks of SEP on health and well-being (Supplementary Fig 3).

    • Effects of North Carolina's pre-kindergarten program at the end of kindergarten: Contributions of school-wide quality

      2021, Journal of Applied Developmental Psychology
      Citation Excerpt :

      While our findings were mixed, findings from prior research into factors that enhance the effects of ECE programming during later grades are also notably mixed (Bailey et al., 2020). However, our findings are consistent with a previous study that documented an enhanced effect of the Chicago School Readiness Project on language/literacy skills at the end of kindergarten for children who subsequently entered highly proficient elementary schools (i.e., 0.5 standard deviations above the average; Zhai et al., 2012). While many previous studies have examined measures of school-wide academic proficiency in relation to the effects of ECE programming, our study was one of a handful to examine school-wide academic growth.

    • Complementarities between early educational intervention and later educational quality? A systematic review of the sustaining environments hypothesis

      2020, Developmental Review
      Citation Excerpt :

      Features of sustaining environments are often predicted on the basis of theories in cognitive, developmental, and educational psychology, and may include academic rigor, social support, curricular alignment with an early childhood academic intervention, or many peers who also received high quality early educational experiences (e.g., Bronfenbrenner & Morris, 2006; Stanovich, 1986;Vygotsky, 1978). This hypothesis is especially relevant for policy because children eligible for targeted preschool programs tend to come from low-income families, tend to live in low-income neighborhoods, and are more likely to enter schools with fewer resources; thus, children who participate in targeted preschool programs like Head Start experience schools that may be ill-equipped to build upon the skills children gained during preschool (Crosnoe & Cooper, 2010; Currie & Thomas, 2000; Lee & Loeb, 1995; Reynolds, Ou, & Topitzes, 2004; Zhai, Raver, & Jones, 2012). Several studies have investigated whether specific kindergarten classroom and other elementary school factors account for patterns of persistence and fadeout.

    • Dosage effects in the child-parent center PreK-to-3rd grade program: A Re-analysis in the Chicago longitudinal study

      2019, Children and Youth Services Review
      Citation Excerpt :

      Sustaining environments is especially relevant because the fade out of positive effects has been attributed to the low quality of elementary school children attended subsequently (Benner, Thornton, & Crosnoe, 2016; Currie & Thomas, 2000; Phillips et al., 2017). Qualities of elementary school that are related to the persistence of preschool effects include the higher quality classroom environments during the elementary school years (Ansari & Pianta, 2018a, 2018b), attendance of high performing school (Zhai, Raver, & Jones, 2012), consistency of instructional practices (Mashburn & Yelverton, 2019), better teaching quality in early grades (Swain, Springer, & Hofer, 2015), and small class size and high levels of reading instruction in kindergarten (Magnuson, Ruhm, & Waldfogel, 2007). For example, the benefits of Head Start spending were found to be larger when followed by access to better-funded public K-12 schools, and the increases in K-12 spending were more efficacious for poor children who were exposed to higher levels of Head Start spending during their preschool years (Johnson & Jackson, 2017).

    View all citing articles on Scopus
    1

    Tel.: + 1 212 998 5519.

    2

    Tel.: + 1 617 496 2223.

    View full text