Understanding Heterogeneity in the Impact of Public Preschool Programs
Corresponding Author
Kenneth A. Dodge
Duke University
Corresponding author: Kenneth A. Dodge, Duke University, email: [email protected]
Search for more papers by this authorEllen Peisner-Feinberg
University of North Carolina at Chapel Hill
Search for more papers by this authorCorresponding Author
Kenneth A. Dodge
Duke University
Corresponding author: Kenneth A. Dodge, Duke University, email: [email protected]
Search for more papers by this authorEllen Peisner-Feinberg
University of North Carolina at Chapel Hill
Search for more papers by this authorCitation Information: Watts, T. W., Jenkins, J. M., Dodge, K. A., Carr, R. C., Sauval, M., Bai, Y., Escueta, M., Duer, J., Ladd, H., Muschkin, C., Peisner-Feinberg, E., & Ananat, E. (2023). Understanding heterogeneity in the impact of public preschool programs. Monographs of the Society for Research in Child Development, 87(4).
Abstract
We examine the North Carolina Pre-K (NC Pre-K) program to test the hypothesis that observed variation in effects resulting from exposure to the program can be attributed to interactions with other environmental factors that occur before, during, or after the pre-k year. We examine student outcomes in 5th grade and test interaction effects between NC's level of investment in public pre-k and moderating factors. Our main sample includes the population of children born in North Carolina between 1987 and 2005 who later attended a public school in that state, had valid achievement data in 5th grade, and could be matched by administrative record review (n = 1,207,576; 58% White non-Hispanic, 29% Black non-Hispanic, 7% Hispanic, 6% multiracial and Other race/ethnicity). Analyses were based on a natural experiment leveraging variation in county-level funding for NC Pre-K across NC counties during each of the years the state scaled up the program. Exposure to NC Pre-K funding was defined as the per-4-year-old-child state allocation of funds to a county in a year. Regression models included child-level and county-level covariates and county and year fixed effects.
Estimates indicate that a child's exposure to higher NC Pre-K funding was positively associated with that child's academic achievement 6 years later. We found no effect on special education placement or grade retention. NC Pre-K funding effects on achievement were positive for all subgroups tested, and statistically significant for most. However, they were larger for children exposed to more disadvantaged environments either before or after the pre-k experience, consistent with a compensatory model where pre-k provides a buffer against the adverse effects of prior negative environmental experiences and protection against the effects of future adverse experiences. In addition, the effect of NC Pre-K funding on achievement remained positive across most environments, supporting an additive effects model. In contrast, few findings supported a dynamic complementarity model. Instrumental variables analyses incorporating a child's NC Pre-K enrollment status indicate that program attendance increased average 5th grade achievement by approximately 20% of a standard deviation, and impacts were largest for children who were Hispanic or whose mothers had less than a high school education. Implications for the future of pre-k scale-up and developmental theory are discussed.
References
- Abenavoli, R. M. (2019). The mechanisms and moderators of “fade-out”: Towards understanding why the skills of early childhood program participants converge over time with the skills of other children. Psychological Bulletin, 145(12), 1103–1127. https://doi.org/10.1037/bul0000212
- Administration for Children and Families. (2021). Head Start Program Facts Fiscal Year 2019.
- Ananat, E. O., Gassman-Pines, A., & Gibson-Davis, C. M. (2011). The effects of local employment losses on children's educational achievement. In G. J. Duncan & R. J. Murnane (Eds.), Whither opportunity (pp. 299–314). Russel Sage Foundation.
- Angrist, J. D., & Pischke, J. S. (2008). Mostly harmless econometrics: An empiricists companion. Princeton University Press.
10.2307/j.ctvcm4j72 Google Scholar
- Ansari, A., & Pianta, R. C. (2018). The role of elementary school quality in the persistence of preschool effects. Children and Youth Services Review, 86, 120–127. https://doi.org/10.1016/j.childyouth.2018.01.025
- Ansari, A., Purtell, K., & Gershoff, E. (2016). Classroom age composition and the school readiness of 3-and 4-year-olds in the Head Start program. Psychological Science, 27(1), 53–63.
- Araujo, M. C., Carneiro, P., Cruz-Aguayo, Y., & Schady, N. (2016). Teacher quality and learning outcomes in kindergarten*. The Quarterly Journal of Economics, 131(3), 1415–1453. https://doi.org/10.1093/qje/qjw016
- Ashe, M. K., Reed, S., Dickinson, D. K., Morse, A. B., & Wilson, S. J. (2009). Opening the world of learning: Features, effectiveness, and implementation strategies. Early Childhood Services: An Interdisciplinary Journal of Effectiveness, 3(3), 179–191.
- Auger, A., Farkas, G., Burchinal, M. R., Duncan, G. J., & Vandell, D. L. (2014). Preschool center care quality effects on academic achievement: An instrumental variables analysis. Developmental Psychology, 50(12), 2559–2571.
- Bai, Y., Ladd, H. F., Muschkin, C. G., & Dodge, K. A. (2020). Long-term effects of early childhood programs through eighth grade: Do the effects fade out or grow? Children and Youth Services Review, 112, 104890.
- Bailey, D. H., Duncan, G. J., Cunha, F., Foorman, B. R., & Yeager, D. S. (2020). Persistence and fade-out of educational-intervention effects: Mechanisms and potential solutions. Psychological Science in the Public Interest, 21(2), 55–97. https://doi.org/10.1177/1529100620915848
- Bailey, D. H., Duncan, G. J., Odgers, C. L., & Yu, W. (2017). Persistence and fadeout in the impacts of child and adolescent interventions. Journal of Research on Educational Effectiveness, 10(1), 7–39. https://doi.org/10.1080/19345747.2016.1232459
- Bailey, D. H., Duncan, G. J., Watts, T., Clements, D. H., & Sarama, J. (2018). Risky business: Correlation and causation in longitudinal studies of skill development. American Psychologist, 73(1), 81–94. https://doi.org/10.1037/amp0000146
- Bailey, D. H., Jenkins, J. M., & Alvarez-Vargas, D. (2020). Complementarities between early educational intervention and later educational quality? A systematic review of the sustaining environments hypothesis. Developmental Review, 56, 100910. https://doi.org/10.1016/j.dr.2020.100910
- Barnett, W. S., Epstein, D. J., Carolan, M. E., Fitzgerald, J., Ackerman, D. J., & Friedman, A. H. (2010). The State of Preschool 2010. Rutgers Graduate School of Education.
- Barnett, W. S., Friedman-Krauss, A. H., Weisenfeld, G. G., Horowitz, M., Kasmin, R., & Squires, J. H. (2017). The State of Preschool 2016. National Institute for Early Education Research.
- Barnett, W. S., Hustedt, J. T., Robin, K. B., & Schulman, K. (2003). The state of preschool. National Institute for Early Education Research.
- Baroody, A. J., Clements, D. H., & Sarama, J. (2022). Lessons learned from 10 experiments that tested the efficacy and assumptions of hypothetical learning trajectories. Education Sciences, 12(3), 195. https://doi.org/10.3390/educsci12030195
- Bassok, D. (2012). Competition or collaboration?: Head Start enrollment during the rapid expansion of state pre-kindergarten. Educational Policy, 26(1), 96–116. https://doi.org/10.1177/0895904811428973
- Bassok, D., Fitzpatrick, M. D., & Loeb, S. (2014). Does state preschool crowd-out private provision? The impact of universal preschool on the childcare sector in Oklahoma and Georgia. Journal of Urban Economics, 83, 18–33. https://doi.org/10.1016/j.jue.2014.07.001
- Bassok, D., Gibbs, C. R., & Latham, S. (2018). Preschool and children's outcomes in elementary school: Have patterns changed nationwide between 1998 and 2010. Child Development, 90, 1875–1897. https://doi.org/10.1111/cdev.13067
- Bassok, D., Miller, L. C., & Galdo, E. (2016). The effects of universal state pre-kindergarten on the child care sector: The case of Florida's voluntary Pre-kindergarten program. Economics of Education Review, 53, 87–98. https://doi.org/10.1016/j.econedurev.2016.05.004
- Baulos, A., & Heckman, J. (2022). The importance of investing in early childhood development and the role of families. In A. Betts & K. Thai ( Eds.), Handbook of research on innovative approaches to early childhood development and school readiness (pp. 38–54). IGI Global.
10.4018/978-1-7998-8649-5.ch002 Google Scholar
- Baum, C. F., Schaffer, M. E., & Stillman, S. (2010). ivreg2: Stata module for extended instrumental variables/2SLS, GMM and AC/HAC, LIML and k-class regression. http://ideas.repec.org/c/boc/bocode/s425401.html
- Bierman, K. L., Domitrovich, C. E., Nix, R. L., Gest, S. D., Welsh, J. A., Greenberg, M. T., Blair, C., Nelson, K. E., & Gill, S. (2008). Promoting academic and social-emotional school readiness: The Head Start REDI Program. Child Development, 79(6), 1802–1817. https://doi.org/10.1111/j.1467-8624.2008.01227.x
- Bitler, M. P., Hoynes, H. W., & Domina, T. (2014). Experimental evidence on distributional effects of Head Start (National Bureau of Economic Research Working Paper Series, No. 20434). https://doi.org/10.3386/w20434
10.3386/w20434 Google Scholar
- Blad, E. (2021, April 28). Biden pitches plan to expand universal pre-K, free school meal programs, teacher training.
- Bloom, H. S., & Michalopoulos, C. (2013). When is the story in the subgroups? Prevention Science, 14(2), 179–188. https://doi.org/10.1007/s11121-010-0198-x
- Bloom, H. S., & Weiland, C. (2015). Quantifying variation in Head Start effects on young children's cognitive and socio-emotional skills using data from the National Head Start Impact Study. Available at SSRN 2594430.
- Brooks-Gunn, J., Klebanov, P. K., Liaw, F.-r., & Spiker, D. (1993). Enhancing the development of low-birthweight, premature infants: Changes in cognition and behavior over the first three years. Child Development, 64(3), 736–753. https://doi.org/10.1111/j.1467-8624.1993.tb02940.x
- Brooks-Gunn, J., McCarton, C. M., Casey, P. H., McCormick, M. C., Bauer, C. R., Bernbaum, J. C., Tyson, J., Swanson, M., Bennett, F. C., Scott, D. T., Tonascia, J., Meinert, C. L., Casey, P., Pearson, K., Rickert, V., Whitmarsh-Barrett, K., McCarton, C. M., Hogan, A., Kenny, C., & Shapiro, S. (1994). Early intervention in low-birth-weight premature infants: Results through age 5 years from the Infant Health and Development Program. JAMA, 272(16), 1257–1262. https://doi.org/10.1001/jama.1994.03520160041040
- Brown, E. R., Lanfredi, G., de Silva, A., Janta, B., & Devaux, A. (2022). Building a better understanding of the impact of early childhood education and care on medium- and long-term educational and labour market outcomes in Europe. Prepared as part of the European Platform for Investing in Children (EPIC) project. Publications of the European Union. https://doi.org/10.2767/559483
10.2767/559483 Google Scholar
- Brown, T. T., & Jernigan, T. L. (2012). Brain development during the preschool years. Neuropsychology Review, 22(4), 313–333.
- Bruno, E. P., & Iruka, I. U. (2022). Reexamining the Carolina abecedarian project using an antiracist perspective: Implications for early care and education research. Early Childhood Research Quarterly, 58, 165–176. https://doi.org/10.1016/j.ecresq.2021.09.001
- Burchinal, M., Pianta, R., Ansari, A., Whittaker, J., & Vitiello, V. (2023). Kindergarten academic and social skills and exposure to peers with pre-kindergarten experience. Early Childhood Research Quarterly, 62, 41–52.
- Burchinal, M., Whitaker, A. A., & Jenkins, J. M. (2022). The promise and purpose of early care and education. Child Development Perspectives, 16, 134–140. https://doi.org/10.1111/cdep.12463
10.1111/cdep.12463 Google Scholar
- Bush, G. (1990). Address Before a Joint Session of the Congress on the State of the Union, January 31, 1990. Weekly Compilation of Presidential Documents, National Archives and Record Administration.
- Bustamante, A. S., Dearing, E., Zachrisson, H. D., & Vandell, D. L. (2022). Adult outcomes of sustained high-quality early child care and education: Do they vary by family income? Child Development, 93, 502–523. https://doi.org/10.1111/cdev.13696
- Callaway, B., Goodman-Bacon, A., & Sant'Anna, P. H. (2021). Difference-in-differences with a continuous treatment. arXiv preprint arXiv:2107.02637.
- Campbell, F. A., Conti, G., Heckman, J. J., Moon, S. H., Pinto, R., Pungello, E., & Pan, Y. (2014). Early childhood investments substantially boost adult health. Science, 343(6178), 1478–1485. https://doi.org/10.1126/science.1248429
- Campbell, F. A., Pungello, E., Burchinal, M. R., Kainz, K., Pan, Y., Wasik, B. H., Barbarin, O. A., Sparling, J. J., & Ramey, C. T. (2012). Adult outcomes as a function of an early childhood educational program: An Abecedarian Project follow-up. Developmental Psychology, 48(4), 1033.
- Campbell, F. A., Pungello, E., Miller-Johnson, S., Burchinal, M. R., & Ramey, C. T. (2001). The development of cognitive and academic abilities: Growth curves from an early childhood educational experiment. Developmental Psychology, 37(2), 231–242.
- Cascio, E. U. (2021). Early childhood education in the United States: What, when, where, who, how, and why 1. In B. P. McCall (Ed.), The Routledge handbook of the economics of education (pp. 30–72). Routledge.
10.4324/9780429202520-3 Google Scholar
- Cascio, E. U., & Schanzenbach, D. W. (2013). The impacts of expanding access to high-quality preschool education. Brookings Papers on Economic Activity, 2013, 127–178.
10.1353/eca.2013.0012 Google Scholar
- Chaudry, A., & Datta, R. (2017). The current landscape for public pre-kindergarten programs. In K. A. D. D. Phillips & Pre-Kindergarten Task Force, (Eds.), The current state of scientific knowledge on pre-kindergarten effects (pp. 5–18). Brookings Institution and Duke University.
- Chetty, R., Hendren, N., & Katz, L. F. (2016). The effects of exposure to better neighborhoods on children: New evidence from the Moving to Opportunity experiment. American Economic Review, 106(4), 855–902.
- Child Care & Early Education Research Connections. (2011). Early care and education collaboration: A key topic resource list. Office of Planning, Research, and Evaluation. https://www.researchconnections.org/childcare/resources/22863/pdf
- Claessens, A., Engel, M., & Curran, F. C. (2013). Academic content, student learning, and the persistence of preschool effects. American Educational Research Journal, 51(2), 403–434. https://doi.org/10.3102/0002831213513634
- Clements, D. H., & Sarama, J. (2007). Effects of a preschool mathematics curriculum: Summative research on the Building Blocks project. Journal for Research in Mathematics Education, 38(2), 136–163.
- Clements, D. H., Sarama, J., Spitler, M. E., Lange, A. A., & Wolfe, C. B. (2011). Mathematics learned by young children in an intervention based on learning trajectories: A large-scale cluster randomized trial. Journal for Research in Mathematics Education, 42(2), 127–166.
- Clements, D. H., Sarama, J., Wolfe, C. B., & Spitler, M. E. (2013). Longitudinal evaluation of a scale-up model for teaching mathematics with trajectories and technologies persistence of effects in the third year. American Educational Research Journal, 50(4), 812–850.
- Cobb, C. T. (2009). North Carolina's More at Four prekindergarten program: A case study of funding versus quality and other issues in large-scale implementation. In R. Pianta, & C. Howes (Eds.), The promise of pre-k (pp. 123–144). Paul H. Brookes Publishing Co.
- Connor, C. M., & Morrison, F. J. (2016). Individualizing student instruction in reading: Implications for policy and practice. Policy Insights from the Behavioral and Brain Sciences, 3(1), 54–61. https://doi.org/10.1177/2372732215624931
- Connors-Tadros, L. (2019). Why collaboration is important now and opportunities for future research. Early Education and Development, 30(8), 1094–1099. https://doi.org/10.1080/10409289.2019.1662689
- Correia, S. (2017). Linear models with high-dimensional fixed effects: An Efficient and feasible estimator. Working paper. http://scorreia.com/research/hdfe.pdf
- Cunha, F., & Heckman, J. J. (2007). The technology of skill formation. American Economic Review, 97(2), 31–47.
- Cunha, F., Heckman, J. J., Lochner, L., & Masterov, D. V. (2006). Interpreting the evidence on life cycle skill formation. In E. Hanushek & F. Welch ( Eds.), Handbook of the economics of education (Vol. 1, pp. 697–812). Elsevier.
- Cunningham, S. (2021). Causal inference: The mixtape. Yale University Press.
10.2307/j.ctv1c29t27 Google Scholar
- Currie, J., & Almond, D. (2011). Human capital development before age five. In D. Card & O. Ashenfelter ( Eds.), Handbook of labor economics (Vol. 4, pp. 1315–1486). Elsevier.
10.1016/S0169-7218(11)02413-0 Google Scholar
- Currie, J., & Thomas, D. (2000). School quality and the longer-term effects of Head Start. Journal of Human Resources, 35(4), 755–774.
- Davis-Kean, P. E., Tighe, L. A., & Waters, N. E. (2021). The role of parent educational attainment in parenting and children's development. Current Directions in Psychological Science, 30(2), 186–192. https://doi.org/10.1177/0963721421993116
- Deming, D. (2009). Early childhood intervention and life-cycle skill development: Evidence from Head Start. American Economic Journal: Applied Economics, 1(3), 111–134. https://doi.org/10.2307/25760174
- Dodge, K. A., Bai, Y., Ladd, H. F., & Muschkin, C. G. (2017). Impact of North Carolina's early childhood programs and policies on educational outcomes in elementary school. Child Development, 88(3), 996–1014. https://doi.org/10.1111/cdev.12645
- Duer, J. K., & Jenkins, J. (2022). Paying for preschool: Who blends funding in early childhood education. Educational Policy. https://doi.org/10.1177/08959048221103804
- Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K. A., Huston, A. C., Klebanov, P., Pagani, L. S., Feinstein, L., Engel, M., Brooks-Gunn, J., Sexton, H., Duckworth, K., & Japel, C. (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428–1446. https://doi.org/10.1037/0012-1649.43.6.1428
- Duncan, G. J., Kalil, A., Mogstad, M., & Rege, M. (2022). Investing in early childhood development in preschool and at home (29985). National Bureau of Economic Research.
- Duncan, G. J., & Magnuson, K. (2013). Investing in preschool programs. The Journal of Economic Perspectives, 27(2), 109–132. https://doi.org/10.1257/jep.27.2.109
- Durkin, K., Lipsey, M. W., Farran, D. C., & Wiesen, S. E. (2022). Effects of a statewide pre-kindergarten program on children's achievement and behavior through sixth grade. Developmental Psychology, 58(3), 470–484. https://doi.org/10.1037/dev0001301
- Early, D. M., Maxwell, K. L., Burchinal, M. R., Alva, S., Bender, R. H., Bryant, D., Cai, K., Clifford, R. M., Ebanks, C., Griffin, J. A., Henry, G. T., Howes, C., Iriondo-Perez, J., Jeon, H. J., Mashburn, A. J., Peisner-Feinberg, E., Pianta, R. C., Vandergrift, N., & Zill, N. (2007). Teachers' education, classroom quality, and young children's academic skills: Results from seven studies of preschool programs. Child Development, 78(2), 558–580. https://doi.org/10.1111/j.1467-8624.2007.01014.x
- Education Commission of the States. (2014). Kindergarten entrance age 50-state analysis.
- Elango, S., García, J. L., Heckman, J. J., & Hojman, A. (2016). Early childhood education. In R. A. Moffitt (Ed.), Economics of means-tested transfer programs in the United States (Vol. 2, pp. 235–297). University of Chicago Press. https://doi.org/10.3386/w21766
10.7208/chicago/9780226392523.003.0004 Google Scholar
- Engel, M., Claessens, A., & Finch, M. A. (2012). Teaching students what they already know? The (mis)alignment between mathematics instructional content and student knowledge in kindergarten. Educational Evaluation and Policy Analysis, 35(2), 157–178. https://doi.org/10.3102/0162373712461850
- Feller, A., Grindal, T., Miratrix, L., & Page, L. C. (2016). Compared to what? Variation in the impacts of early childhood education by alternative care type. The Annals of Applied Statistics, 10(3), 1245–1285.
- Fisher, P. A., Barker, T. V., & Blaisdell, K. N. (2020). A glass half full and half empty: The state of the science in early childhood prevention and intervention research. Annual Review of Developmental Psychology, 2(1), 269–294. https://doi.org/10.1146/annurev-devpsych-121318-084958
10.1146/annurev-devpsych-121318-084958 Google Scholar
- Fitzpatrick, M. D. (2008). Starting school at four: The effect of universal pre-kindergarten on children's academic achievement. The BE Journal of Economic Analysis & Policy, 8(1), 46.
- Foster, E. M., & McLanahan, S. (1996). An illustration of the use of instrumental variables: Do neighborhood conditions affect a young person's chance of finishing high school? Psychological Methods, 1(3), 249–260.
- Friedman-Krauss, A., Barnett, W. S., Garver, K. A., Hodges, K. S., Weisenfeld, G. G., & Gardiner, B. A. (2021). The State of Preschool 2020: State preschool yearbook. National Institute for Early Education Research, Rutgers University.
- Garces, E., Thomas, D., & Currie, J. (2002). Longer-term effects of Head Start. The American Economic Review, 92, 999–1012.
- Garcia, E., & Weiss, E. (2017). Education inequalities at the school starting gate: Gaps, trends, and strategies to address them. Economic Policy Institute.
- García, J. L., Heckman, J. J., Leaf, D. E., & Prados, M. J. (2020). Quantifying the life-cycle benefits of an influential early-childhood program. Journal of Political Economy, 128(7), 2502–2541. https://doi.org/10.1086/705718
- Gassman-Pines, A., Ananat, E. O., & Gibson-Davis, C. M. (2014). Effects of statewide job losses on adolescent suicide-related behaviors. American Journal of Public Health, 104(10), 1964–1970. https://doi.org/10.2105/ajph.2014.302081
- Gennetian, L. A., Magnuson, K. A., & Morris, P. A. (2008). From statistical associations to causation: What developmentalists can learn from instrumental variables techniques coupled with experimental data. Developmental Psychology, 44(2), 381–394.
- Gilliam, W. S., & Ripple, C. H. (2004). What can be learned from state-funded preschool initiatives? A data-based approach to the Head Start devolution debate. In E. F. Zigler & S. J. Styfco (Eds.), The Head Start debates (pp. 477–497). Brookes Publishing.
- Golberstein, E., Gonzales, G., & Meara, E. (2019). How do economic downturns affect the mental health of children? Evidence from the National Health Interview Survey. Health Economics, 28(8), 955–970. https://doi.org/10.1002/hec.3885
- Gormley, W. T. (2008). The effects of Oklahoma's pre-k program on Hispanic children. Social Science Quarterly, 89(4), 916–936. https://doi.org/10.1111/j.1540-6237.2008.00591.x
- Gormley, W. T., & Gayer, T. (2005). Promoting school readiness in Oklahoma: An evaluation of Tulsa's Pre-K program. Journal of Human Resources, XL(3), 533–558. https://doi.org/10.3368/jhr.XL.3.533
10.3368/jhr.XL.3.533 Google Scholar
- Gormley, W. T., Gayer, T., Phillips, D., & Dawson, B. (2005). The effects of universal Pre-K on cognitive development. Developmental Psychology, 41(6), 872–884. https://doi.org/10.1037/0012-1649.41.6.872
- Gormley, W. T., Phillips, D., & Anderson, S. (2018). The effects of Tulsa's Pre-K program on middle school student performance. Journal of Policy Analysis and Management, 37(1), 63–87. https://doi.org/10.1002/pam.22023
- Gray-Lobe, G., Pathak, P. A., & Walters, C. R. (2021, July 27–30). The long-term effects of universal preschool in Boston [presented at “SI 2021 Children”] (National Bureau of Economic Research Working Paper Series, No. 28756). https://doi.org/10.3386/w28756
10.3386/w28756 Google Scholar
- Guryan, J., Hurst, E., & Kearney, M. (2008). Parental education and parental time with children. Journal of Economic Perspectives, 22(3), 23–46.
- Hanushek, E. A., Peterson, P. E., Talpey, L. M., & Woessmann, L. (2019). The achievement gap fails to close. Education Next, 19(3), 8–17.
- Harding, J. F., McCoy, D. C., & McCormick, M. P. (2020). Understanding alignment in children's early learning experiences: Policies and practices from across the United States. Early Childhood Research Quarterly, 52, 1–4. https://doi.org/10.1016/j.ecresq.2019.12.007
- Harding, J. F., Morris, P. A., & Hughes, D. (2015). The relationship between maternal education and children's academic outcomes: A theoretical framework. Journal of Marriage and Family, 77(1), 60–76. https://doi.org/10.1111/jomf.12156
- Heckman, J. J., Moon, S. H., Pinto, R., Savelyev, P. A., & Yavitz, A. (2010). The rate of return to the HighScope Perry Preschool Program. Journal of Public Economics, 94(1), 114–128.
- Hill, C. J., Gormley, W. T., & Adelstein, S. (2015). Do the short-term effects of a high-quality preschool program persist? Early Childhood Research Quarterly, 32(3), 60–79.
10.1016/j.ecresq.2014.12.005 Google Scholar
- Huang, F. L., Invernizzi, M. A., & Drake, E. A. (2012). The differential effects of preschool: Evidence from Virginia. Early Childhood Research Quarterly, 27(1), 33–45. https://doi.org/10.1016/j.ecresq.2011.03.006
- Huttenlocher, J., Levine, S., & Vevea, J. (1998). Environmental input and cognitive growth: A study using time-period comparisons. Child Development, 69(4), 1012–1029.
- Jenkins, J. M., Farkas, G., Duncan, G. J., Burchinal, M. R., & Vandell, D. (2016). Head Start at ages 3 and 4 versus Head Start followed by state pre-k: Which is more effective? Educational Evaluation and Policy Analysis, 38(1), 88–112.
- Jenkins, J. M., & Henry, G. T. (2016). Dispersed vs. centralized policy governance: The case of state early care and education policy. Journal of Public Administration Research and Theory, 26(4), 709–725.
- Jenkins, J. M., Watts, T. W., Magnuson, K., Gershoff, E. T., Clements, D. H., Sarama, J., & Duncan, G. J. (2018). Do high-quality kindergarten and first-grade classrooms mitigate preschool fadeout? Journal of Research on Educational Effectiveness, 11(3), 339–374.
- Johnson, R. C., & Jackson, C. K. (2019). Reducing inequality through dynamic complementarity: Evidence from Head Start and public school spending. American Economic Journal: Economic Policy, 11(4), 310–349.
- Kang, C. Y., Duncan, G. J., Clements, D. H., Sarama, J., & Bailey, D. H. (2019). The roles of transfer of learning and forgetting in the persistence and fadeout of early childhood mathematics interventions. Journal of Educational Psychology, 111(4), 590.
- Kauerz, K. (2008). Learning from others: State efforts to expand services and build systems of early care and education. In A. R. Tarlov & M. P. Debbink (Eds.), Investing in early childhood development: Evidence to support movement for educational change (pp. 85–112). Palgrave Macmillan.
10.1057/9780230610415_5 Google Scholar
- Kline, P., & Walters, C. (2016). Evaluating public programs with close substitutes: The case of Head Start. Quarterly Journal of Economics, 131(4), 1795–1848.
- Kose, E. (2021). Public investments in early childhood education and academic performance: Evidence from Head Start in Texas. Journal of Human Resources. https://doi.org/10.3368/jhr.0419-10147R2
- Ladd, H. F., Muschkin, C. G., & Dodge, K. A. (2014). From birth to school: Early childhood initiatives and third-grade outcomes in North Carolina. Journal of Policy Analysis and Management, 33(1), 162–187.
- Lee, M.-J. (2005). Micro-econometrics for policy, program, and treatment effects. Oxford University Press.
10.1093/0199267693.001.0001 Google Scholar
- Lipsey, M. W., Farran, D. C., & Durkin, K. (2018). Effects of the Tennessee Prekindergarten Program on children's achievement and behavior through third grade. Early Childhood Research Quarterly, 45, 155–176. https://doi.org/10.1016/j.ecresq.2018.03.005
- List, J. A., Momeni, F., & Zenou, Y. (2020). The social side of early human capital formation: Using a field experiment to estimate the causal impact of neighborhoods. National Bureau of Economic Research.
- Love, J. M., Chazan-Cohen, R., Raikes, H., & Brooks-Gunn, J. (2013). What makes a difference: Early Head Start evaluation findings in a developmental context. Monographs of the Society for Research in Child Development, 78(1), vii–viii, 1–173.
- Lucey, C., & Parti, T. (2021, July 6). Biden's Pre-K proposal faces questions from Republicans over federal role. The Wall Street Journal.
- Ludwig, J., & Miller, D. L. (2007). Does Head Start improve children's life chances? Evidence from a regression discontinuity design. The Quarterly Journal of Economics, 122(1), 159–208. https://doi.org/10.1162/qjec.122.1.159
- Magnuson, K. A., Kelchen, R., Duncan, G. J., Schindler, H. S., Shager, H., & Yoshikawa, H. (2016). Do the effects of early childhood education programs differ by gender? A meta-analysis. Early Childhood Research Quarterly, 36, 521–536. https://doi.org/10.1016/j.ecresq.2015.12.021
- Magnuson, K. A., Ruhm, C., & Waldfogel, J. (2007). The persistence of preschool effects: Do subsequent classroom experiences matter? Early Childhood Research Quarterly, 22(1), 18–38. https://doi.org/10.1016/j.ecresq.2006.10.002
- Magnuson, K. A., & Waldfogel, J. (2008). Steady gains and stalled progress: Inequality and the Black-White test score gap. Russell Sage Foundation.
- Mashburn, A. J., Pianta, R., Hamre, B. K., Downer, J. T., Barbarin, O. A., Bryant, D., Burchinal, M., Early, D. M., & Howes, C. (2008). Measures of classroom quality in prekindergarten and children's development of academic, language, and social skills. Child Development, 79(3), 732–749. https://doi.org/10.1111/j.1467-8624.2008.01154.x
- Mattera, S. K., Jacob, R., MacDowell, C., & Morris, P. A. (2021). Long-term effects of enhanced early childhood math instruction: The impacts of making pre-k count and high 5s on third-grade outcomes. MDRC.
- McCartney, K., Dearing, E., Taylor, B. A., & Bub, K. L. (2007). Quality child care supports the achievement of low-income children: Direct and indirect pathways through caregiving and the home environment. Journal of Applied Developmental Psychology, 28(5), 411–426. https://doi.org/10.1016/j.appdev.2007.06.010
- McCormick, M. C., Brooks-Gunn, J., Buka, S. L., Goldman, J., Yu, J., Salganik, M., Scott, D. T., Bennett, F. C., Kay, L. L., Bernbaum, J. C., Bauer, C. R., Martin, C., Woods, E. R., Martin, A., & Casey, P. H. (2006). Early intervention in low birth weight premature infants: Results at 18 years of age for the Infant Health and Development Program. Pediatrics, 117(3), 771–780. https://doi.org/10.1542/peds.2005-1316
- McCormick, M. P., Weiland, C., Hsueh, J., Maier, M., Hagos, R., Snow, C., Leacock, N., & Schick, L. (2020). Promoting content-enriched alignment across the early grades: A study of policies & practices in the Boston Public Schools. Early Childhood Research Quarterly, 52, 57–73. https://doi.org/10.1016/j.ecresq.2019.06.012
- Miller, E. B., Farkas, G., Vandell, D. L., & Duncan, G. J. (2014). Do the effects of Head Start vary by parental preacademic stimulation? Child Development, 85(4), 1385–1400.
- Muschkin, C. G., Ladd, H. F., & Dodge, K. A. (2015). Impact of North Carolina's early childhood initiatives on special education placements in third grade. Educational Evaluation and Policy Analysis, 37(4), 478–500.
- Muschkin, C. G., Ladd, H. F., Dodge, K. A., & Bai, Y. (2020). Gender differences in the impact of North Carolina's early care and education initiatives on student outcomes in elementary school. Educational Policy, 34(2), 377–407.
- National Academies of Sciences, Engineering, and Medicine. (2018). Transforming the financing of early care and education ( E. P. Backes & L. R. Allen, Eds.). National Academies Press. https://books.google.com/books?id=YXllDwAAQBAJ
- Nesbitt, K. T., & Farran, D. C. (2021). Effects of prekindergarten curricula: Tools of the mind as a case study. Monographs of the Society for Research in Child Development, 86(1), 7–119. https://doi.org/10.1111/mono.12425
- NICHD Early Child Care Research Network. (2001). Nonmaternal care and family factors in early development: An overview of the NICHD Study of Early Child Care. Journal of Applied Developmental Psychology, 22(5), 457–492. https://doi.org/10.1016/S0193-3973(01)00092-2
- North Carolina Division of Child Development and Early Education. (2011). NC Pre-Kindergarten (NC Pre-K) program requirements. https://ncchildcare.ncdhhs.gov/Portals/0/documents/pdf/N/ncpre-kprogramrequirements_08_15_2011.pdf
- OECD. (2022). “How do early childhood education systems differ around the world?” In Education at a Glance 2022: OECD Indicators. OECD Publishing. https://doi.org/10.1787/63190ffa-en
- Pages, R., Lukes, D. J., Bailey, D. H., & Duncan, G. J. (2020). Elusive Longer-run impacts of Head Start: Replications within and across cohorts. Educational Evaluation and Policy Analysis, 42(4), 471–492. https://doi.org/10.3102/0162373720948884
- Pearman, F. A. (2020). The moderating effect of neighborhood poverty on preschool effectiveness: Evidence from the Tennessee voluntary prekindergarten experiment. American Educational Research Journal, 57(3), 1323–1357.
- Pearman, F. A., Springer, M. P., Lipsey, M., Lachowicz, M., Swain, W., & Farran, D. (2020). Teachers, schools, and Pre-K effect persistence: An examination of the sustaining environment hypothesis. Journal of Research on Educational Effectiveness, 13(4), 547–573. https://doi.org/10.1080/19345747.2020.1749740
- Peisner-Feinberg, E. S. (2003). Child and program characteristics of the North Carolina more at four pre-kindergarten program: Year 1 (January - June, 2002). Chapel Hill, NC: FPG Child Development Institute. Retrieved from https://fpg.unc.edu/sites/fpg.unc.edu/files/resource-files/MAF_Yr1_full_report_0.pdf
- Peisner-Feinberg, E. S., Garwood, J. D., & Mokrova, I. (2017). Children's outcomes through second grade: Findings from year 4 of Georgia's Pre-K longitudinal study. FPG Child Develoment Institute, The University of North Carolina at Chapel Hill.
- Peisner-Feinberg, E. S., Kuhn, L., Zadrozny, S., Foster, T., & Burchinal, M. R. (2020). Kindergarten follow-up findings from a small-scale RCT study of the North Carolina Pre-Kindergarten Program. The University of North Carolina, School of Education.
- Peisner-Feinberg, E. S., Mokrova, I. L., & Anderson, T. L. (2017). Effects of participation in the North Carolina Pre-Kindergarten Program at the end of kindergarten: 2015−2016 statewide evaluation. FPG Child Development Institute.
- Peisner-Feinberg, E. S., & Schaaf, J. (2010). Long-term effects of the North Carolina more at four pre-kindergarten program: Children's reading and math skills at third grade. Chapel Hill, NC: University of North Carolina, Frank Porter Graham Child Development Institute.
- Peisner-Feinberg, E. S., & Schaaf, J. M. (2009). Evaluation of the North Carolina more at four pre-kindergarten program: A look across time at children's outcomes and classroom quality from pre-k through kindergarten (2003−2009). FPG Child Development Institute, UNC at Chapel Hill.
- Peisner-Feinberg, E. S., & Schaaf, J. M. (2011). Effects of the North Carolina more at four pre-kindergarten program on children's school readiness skills: Summary of key findings. Chapel Hill: The University of North Carolina, FPG Child Development Institute.
- Peisner-Feinberg, E. S., Schaaf, J. M., LaForett, D. R., Hildebrandt, L. M., & Sideris, J. (2014). Effects of Georgia's Pre-K Program on children's school readiness skills: Findings from the 2012–2013 evaluation study. The University of North Carolina, FPG Child Development Institute.
- Peisner-Feinberg, E. S., Zadrozny, S., Kuhn, L., & Van Manen, K. (2019). Effects of the North Carolina Pre-Kindergarten Program: Findings through Pre-K of a Small-Scale RCT Study. The University of North Carolina, FPG Child Development Institute.
- Phillips, D. A., Gormley, W. T., & Lowenstein, A. E. (2009). Inside the pre-kindergarten door: Classroom climate and instructional time allocation in Tulsa's pre-K programs. Early Childhood Research Quarterly, 24(3), 213–228. https://doi.org/10.1016/j.ecresq.2009.05.002
- Phillips, D. A., & Pre-Kindergarten Task Force. (Eds.). (2017). The Current state of scientific knowledge on pre-kindergarten effects. Brookings Institution and Duke University.
- Pianta, R., Barnett, W. S., Burchinal, M. R., & Thornburg, K. R. (2009). The effects of preschool education: What we know, how public policy is or is not aligned with the evidence base, and what we need to know. Psychological Science in the Public Interest, 10(2), 49–88. https://doi.org/10.1177/1529100610381908
- Pianta, R., Howes, C., Burchinal, M. R., Bryant, D., Clifford, R., Early, D. M., & Barbarin, O. A. (2005). Features of pre-kindergarten programs, classrooms, and teachers: Do they predict observed classroom quality and child-teacher interactions? Applied Developmental Science, 9(3), 144–159. https://doi.org/10.1207/s1532480xads0903_2
10.1207/s1532480xads0903_2 Google Scholar
- Puma, M., Bell, S., Cook, R., & Heid, C. (2010). Head Start Impact Study (Final Report). US Department of Health and Human Services, Administration for Children and Families.
- Puma, M., Bell, S., Cook, R., Heid, C., Broene, P., Jenkins, F., Mashburn, A., & Downer, J. T. (2012). Third grade follow-up to the Head Start Impact Study: Final report (OPRE Report 2012-45). Office of Planning, Research and Evaluation, Administration for Children and Families.
- Purves, D., & Lichtman, J. W. (1985). Principles of neural development. Sinauer Associates Incorporated.
- Ramey, C. T., & Ramey, S. L. (1998). Early intervention and early experience. American Psychologist, 53(2), 109.
- Raudenbush, S. W., & Bloom, H. S. (2015). Learning about and from a distribution of program impacts using multisite trials. American Journal of Evaluation, 36(4), 475–499.
- Raver, C. C., Jones, S. M., Li-Grining, C., Zhai, F., Bub, K., & Pressler, E. (2011). CSRP's impact on low-income preschoolers' preacademic skills: Self-regulation as a mediating mechanism. Child Development, 82(1), 362–378.
- Raver, C. C., Jones, S. M., Li-Grining, C. P., Metzger, M., Champion, K. M., & Sardin, L. (2008). Improving preschool classroom processes: Preliminary findings from a randomized trial implemented in Head Start settings. Early Childhood Research Quarterly, 23(1), 10–26. https://doi.org/10.1016/j.ecresq.2007.09.001
- Ritchie, S. J., & Bates, T. C. (2013). Enduring links from childhood mathematics and reading achievement to adult socioeconomic status. Psychological Science, 24(7), 1301–1308.
- Sabol, T. J., Hong, S. L. S., Pianta, R., & Burchinal, M. R. (2013). Can rating pre-K programs predict children's learning? Science, 341(6148), 845–846.
- Sameroff, A. J., & Haith, M. M. (1996). The five to seven year shift. The University of Chicago Press.
- Schenke, K., Nguyen, T., Watts, T. W., Sarama, J., & Clements, D. H. (2017). Differential effects of the classroom on African American and non-African American's mathematics achievement. Journal of Educational Psychology, 109(6), 794.
- Schindler, H. S., McCoy, D. C., Fisher, P. A., & Shonkoff, J. P. (2019). A historical look at theories of change in early childhood education research. Early Childhood Research Quarterly, 48, 146–154. https://doi.org/10.1016/j.ecresq.2019.03.004
- Schweinhart, L. J., Montie, J., Xiang, Z., Barnett, W. S. S., Belfield, C. R., & Nores, M. (2005). Lifetime effects: The High/Scope Perry Preschool Study through age 40. High/Scope Press.
- Stipek, D., Clements, D. H., Coburn, C., Franke, M., & Farran, D. C. (2017). PK-3: What does it mean for instruction? SRCD Social Policy Report, 30(2), 2–22.
- Swain, W. A., Springer, M. G., & Hofer, K. G. (2015). Early grade teacher effectiveness and pre-k effect persistence: Evidence from Tennessee. AERA Open, 1(4). https://doi.org/10.1177/2332858415612751
- Taie, M. (2014). Skill acquisition theory and its important concepts in SLA. Theory and Practice in Language Studies, 4(9), 1971–1976.
10.4304/tpls.4.9.1971-1976 Google Scholar
- Texas Education Agency. (2017). Prekindergarten outcomes for Texas public school students. https://tea.texas.gov/sites/default/files/Prekindergarten_Longitudinal_Study.pdf
- Vandell, D. L. (2004). Early child care: The known and the unknown. Merrill-Palmer Quarterly, 50(3), 387–414.
- Vinovskis, M. A. (1999). The road to Charlottesville: The 1989 education summit. National Education Goals Panel. https://govinfo.library.unt.edu/negp/reports/negp30.pdf
- Walters, C. (2015). Inputs in the production of early childhood human capital: Evidence from Head Start. American Economic Journal: Applied Economics, 7(4), 76–102. https://doi.org/10.3386/w20639
- Watts, T. W. (2020). Academic achievement and economic attainment: Reexamining associations between test scores and long-run earnings. AERA Open, 6(2), 2332858420928985.
- Watts, T. W., Duncan, G. J., Clements, D. H., & Sarama, J. (2018). What is the long-run impact of learning mathematics during preschool? Child Development, 89(2), 539–555.
- Watts, T. W., Duncan, G. J., & Rivas, M. (2019). A reanalysis of impacts of the Tennessee Voluntary Prekindergarten program. Annenberg Institute at Brown University.
- Watts, T. W., Duncan, G. J., Siegler, R. S., & Davis-Kean, P. E. (2014). What's past is prologue: Relations between early mathematics knowledge and high school achievement. Educational Researcher, 43(7), 352–360.
- Weiland, C., Unterman, R., & Shapiro, A. (2021). The kindergarten hotspot: Literacy skill convergence between boston prekindergarten enrollees and nonenrollees. Child Development, 92(2), 600–608. https://doi.org/10.1111/cdev.13499
- Weiland, C., Unterman, R., Shapiro, A., Staszak, S., Rochester, S., & Martin, E. (2020). The effects of enrolling in oversubscribed prekindergarten programs through third grade. Child Development, 91(5), 1401–1422.
- Weiland, C., & Yoshikawa, H. (2013). Impacts of a prekindergarten program on children's mathematics, language, literacy, executive function, and emotional skills. Child Development, 84(6), 2112–2130. https://doi.org/10.1111/cdev.12099
- Whitehurst, G. J. (2018). Does state pre-K improve children's achievement? (Vol. 59). Brookings Institution. https://www.brookings.edu/wp-content/uploads/2018/07/Report3.pdf
- Winship, C., & Morgan, S. L. (1999). The estimation of causal effects from observational data. Annual Review of Sociology, 25, 659–706.
- Wollons, R. (2000). Kindergartens and cultures: The global diffusion of an idea. Yale University Press.
- Xue, Y., Miller, E. B., Auger, A., Pan, Y., Burchinal, M., Tien, H.-C., Peisner-Feinberg, E., Zaslow, M., & Tarullo, L. (2016). IV. Testing for dosage-outcome associations in early care and education. Monographs of the Society for Research in Child Development, 81(2), 64–74. https://doi.org/10.1111/mono.12239
- Yoshikawa, H., Weiland, C., Brooks-Gunn, J., Burchinal, M. R., Espinosa, L. M., Gormley, W. T., & Zaslow, M. J. (2013). Investing in our future: The evidence base on preschool education. Foundation for Child Development, Society for Research in Child Development.
- Zhai, F., Brooks-Gunn, J., & Waldfogel, J. (2014). Head Start's impact is contingent on alternative type of care in comparison group. Developmental Psychology, 50(12), 2572.