Effects of a statewide pre-kindergarten program on children’s achievement and behavior through sixth grade.
Open accessAbstract
As state-funded pre-kindergarten (pre-K) programs expand, it is critical to investigate their short- and long-term effects. This article presents the results through sixth grade of a longitudinal randomized control study of the effects of a scaled-up, state-supported pre-K program. The analytic sample includes 2,990 children from low-income families who applied to oversubscribed pre-K program sites across the state and were randomly assigned to offers of admission or a wait list control. Data through sixth grade from state education records showed that the children randomly assigned to attend pre-K had lower state achievement test scores in third through sixth grades than control children, with the strongest negative effects in sixth grade. A negative effect was also found for disciplinary infractions, attendance, and receipt of special education services, with null effects on retention. The implications of these findings for pre-K policies and practices are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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A few programs, for example $5-a-day childcare in Quebec and state-funded pre-K in Tennessee, have been found to have negative effects on children's skill acquisition.
“A few programs, for example $5-a-day childcare in Quebec and state-funded pre-K in Tennessee, have instead been found to have negative effects on children's skill acquisition (Baker, Gruber, andMilligan 2008, Durkin et al. 2022).”
From Educational Inequality* (2022) · cites this paper as Durkin et al. 2022
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Brito, N. H., & Noble, K. G. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00276 · Cited by 525 · see citing works
Judd, N., Sauce, B., Wiedenhoeft, J., Tromp, J., Chaarani, B., Schliep, A., van Noort, B., Penttilä, J., Grimmer, Y., Insensee, C., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2001228117 · Cited by 105 · see citing works
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Research works printed but not linked: 50
- Angrist JD, Imbens GW, & Rubin DB (1996). Identification of causal effects using instrumental variables. Journal of the American Statistical Association, 91(434), 444– 455. 10.2307/2291629 · DOI · Paper page
- Ansari A, & Crosnoe R (2015). Immigration and the interplay of parenting, preschool enrollment, and young children’s academic skills. Journal of Family Psychology, 29(3), 382– 393. 10.1037/fam0000087 25938712 PMC4461446 · DOI
- Ansari A, Pianta RC, Whittaker JE, Vitiello V, & Ruzek. E (2021). Enrollment in public-prekindergarten and school readiness skills at kindergarten entry: Differential associations by home language and program characteristics. Early Childhood Research Quarterly, 54, 60– 71. 10.1016/j.ecresq.2020.07.011 · DOI
- Bailey DH, Duncan GJ, Cunha F, Foorman BR, & Yeager DS (2020). Persistence and fade-out of educational-intervention effects: Mechanisms and potential solutions. Psychological Science in the Public Interest 21(2), 55– 97. 10.1177/1529100620915848 33414687 PMC7787577 · DOI
- Bailey D, Duncan GJ, Odgers CL, & Yu W (2017) Persistence and fadeout in the impacts of child and adolescent interventions. Journal of Research on Educational Effectiveness, 10(1), 7– 39. 10.1080/19345747.2016.1232459 29371909 PMC5779101 · DOI
- Barnett S, Epstein DJ, Friedman AH, Sansanelli RA, & Hustedt JT (2009). The state of preschool 2009: State preschool yearbook (Tennessee pp. 132– 133). The National Institute for Early Education Research [NIEER]. Rutgers University. http://nieer.org/wp-content/uploads/2016/10/200920yearbook-1.pdf
- Barnett WS, Jung K, Friedman-Krauss A, Frede EC, Nores M, Hustedt JT, Howes C, & Daniel-Echols M (2018). State prekindergarten effects on early learning at kindergarten entry: An analysis of eight state programs. AERA Open, 4(2), 1– 16. 10.1177/2332858418766291 · DOI
- Bartik TJ, & Hershbein B (2018). Pre-k in the public schools: Evidence from within U.S. states Upjohn Institute Working Paper 18– 285. Kalamazoo, MI: W.E. Upjohn Institute for Employment Research. 10.17848/wp18-285 · DOI
- Bassok D, & Engel M (2019). Early childhood education at scale: Lessons from research for public policy and practice. AERA Open, 5(1), 1– 7. 10.1177/2332858419828690 · DOI
- Cascio EU, & Schanzenbach DW (2013). The impacts of expanding access to high quality preschool education. Brookings Papers on Economic Activity, Fall, 127– 192. 10.3386/w19735 · DOI
- Coelho V, Aström F, Nesbitt K, Sjöman M, Farran D, Björck-Äkesson E, Christopher C, Granlund M, Almqvist L, Grande C, & Pinto A (2021). Preschool practices in Sweden, Portugal, and the United States. Early Childhood Research Quarterly, 55, 79– 96. 10.1016/j.ecresq.2020.11.004 · DOI
- Coley RL, Votruba-Drzal E, Collins M, & DeMeo Cook K (2016). Comparing public, private, and informal preschool programs in a national sample of low-income children, Early Childhood Research Quarterly, 36, 91– 105. 10.1016/j.ecresq.2015.11.002 · DOI
- Deming D (2009). Early childhood intervention and life cycle skill development: Evidence from Head Start. American Economic Journal: Applied Economics, 1(3), 111– 134. 10.1257/app.1.3.111 · DOI · Paper page
- Duncan GJ, Dowsett CJ, Claessens A, Magnuson K, Huston AC, Klebanov P,... Sexton H (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428– 1446. 10.1037/0012-1649.43.6.1428 18020822 · DOI · Paper page
- Early DM, Li W, Maxwell KL, & Ponder BD (2019). Participation in Georgia’s pre-k as a predictor of third-grade standardized test scores. AERA Open, 5(2), 1– 16. 10.1177/2332858419848687 · DOI
- Farran DC, Meador D, Christopher C, Nesbitt K & Bilbrey L (2017). Data-driven improvement in prekindergarten classrooms: Report from a partnership in an urban district. Child Development, 88, 1466– 1479. DOI: 10.1111/cdev.12906 28752921 · DOI
- Geary DC, Nicholas A, Li Y, & Sun J (2017). Developmental change in the influence of domain-general abilities and domain-specific knowledge on mathematics achievement: An eight-year longitudinal study. Journal of Educational Psychology, 109(5), 680– 693. 10.1037/edu0000159 28781382 PMC5542417 · DOI
- Gennetian LA, Morris PA, Bos JM, & Bloom HS (2005). Constructing instrumental variables from experimental data to explore how treatments produce effects. In Bloom H (Ed). Learning more from social experiments: Evolving analytic approaches (pp. 75– 114). Russell Sage Foundation.
- Gormley WT Jr., Gayer T, Phillips D, & Dawson B (2005). The effects of universal pre-k on cognitive development. Developmental Psychology, 41(6), 872– 884. 10.1037/0012-1649.41.6.872 16351334 · DOI
- Green CS (2020). Interventions to do real-world good: Generalization and persistence. Psychological Science in the Public Interest, 21(2), 43– 49. 10.1177/1529100620933847 · DOI
- Guerrero-Rosada P, Weiland C, McCormick M, Hsueh J, Sachs J, Snow C, & Maier M (2021). Null relations between CLASS scores and gains in children’s language, math, and executive function skills: A replication and extension study. Early Childhood Research Quarterly, 54, 1– 12. 10.1016/j.ecresq.2020.07.009 · DOI
- Harms T, & Clifford RM (1980). The Early Childhood Environment Rating Scale New York, NY: Teachers College Press.
- Haskins R (1985). Public school aggression among children with varying day-care experience. Child Development, 56(3), 689– 703. 10.2307/1129759 4006574 · DOI
- Hill CJ, Gormley WT, & Adelstein S (2015). Do the short-term effects of a high-quality preschool program persist? Early Childhood Research Quarterly, 32, 60– 79. 10.1016/j.ecresq.2014.12.005 · DOI
- Hustedt J, Jung K, Friedman-Krauss A, Barnett S & Slicker G (2021). Impacts of the New Mexico pre-k initiative by children’s race/ethnicity. Early Childhood Research Quarterly, 54, 194– 203. 10.1016/j.ecresq.2020.09.006 · DOI
- Ladd HF, Muschkin CG, & Dodge KA (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. 10.1002/pam.21734 · DOI
- Lipsey MW, Farran DC, & 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. 10.1016/j.ecresq.2018.03.005 · DOI
- Lupina SJ, & Posner MI (2012). The impact of poverty on the development of the brain. Frontiers in Human Neuroscience 6, 1– 12. 10.3389/fnhum.2012.00238 22912613 PMC3421156 · DOI
- Mendez LMR (2003). Predictors of suspension and negative school outcomes: A longitudinal investigation. New Directions for Youth Development, 2003(99), 17– 33. 10.1002/yd.52 14635432 · DOI
- Moffitt TE, Arseneault L, Belsky D, Dickson N, Hancox RJ, Harrington H, Houts R, Poulton R, Roberts BW, Ross S, Sears MR, Thomson WM, & Caspi A (2011). A gradient of childhood self-control predicts health, wealth, and public safety. PNAS, 108(7), 2693– 2698. 10.1073/pnas.1010076108 21262822 PMC3041102 · DOI · Paper page
- Montrosse-Moorhead B, Dougherty S, La Salle T, Weiner J, & Dostal H (2019). The overall and differential effects of a targeted prekindergarten program: Evidence from Connecticut. Early Childhood Research Quarterly, 48, 134– 145. 10.1016/j.ecresq.2019.02.006 · DOI
- Mowen TJ, Brent JJ, & Boman IV JH (2020). The effect of school discipline on offending across time. Justice Quarterly, 37(4), 739– 760. 10.1080/07418825.2019.1625428 34262239 PMC8277153 · DOI
- Nesbitt K & Farran DC (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. 10.1111/mono.12425 PMC7986366 33590487 · DOI
- Noltemeyer AL, Ward RM, & Mcloughlin C (2015). Relationship between school suspension and student outcomes: A meta-analysis. School Psychology Review, 44(2), 224– 240. 10.17105/spr-14-0008.1 · DOI
- Pages R, Lukes DJ, Bailey DH, & Duncan GJ (2020). Elusive longer-run impacts of Head Start: Replication within and across cohorts. Educational Evaluation and Policy Analysis, 42(4), 471– 492. 10.3102/0162373720948884 · DOI
- Pearman FA, Springer MP, 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. 10.1080/19345747.2020.1749740 33728015 PMC7958941 · DOI
- Pion GM, & Lipsey MW (in press). Impact of the Tennessee Voluntary Prekindergarten Program on children’s literacy, language, and mathematics skills: Results from a regression-discontinuity design. AERA Open 10.1177/23328584211041353 · DOI
- Preskitt J, Johnson H, Becker D, Ernest J, Fifolt M, Adams J, Strichik T, Ross J, & Sen B (2020). The persistence of reading and math proficiency: The benefits of Alabama’s pre-kindergarten program endure through elementary and middle school. International Journal of Child and Education Policy, 14, 1– 12. 10.1186/s40723-020-00073-3 · DOI
- Shannon KA, Scerif G, & Raver CC (2020). Using a multidimensional model of attention to predict low-income preschoolers’ early academic skills across time. Developmental Science, 24(2), 1– 16. 10.1111/desc.13025 32749034 · DOI
- Sharpe N, Davis B & Howard M (2017). Indispensable policies and practices for high-quality pre-k: Research and pre-k standards review New America Foundation. https://www.newamerica.org/education-policy/policy-papers/indispensable-policies-practices-high-quality-pre-k/
- Snow CE, & Matthews TJ (2016). Reading and language in the early grades. The Future of Children, 26(2), 57– 74. https://www.jstor.org/stable/43940581
- Steele A, Karmiloff-Smith A, Cornish K, & Scerif G (2012). The multiple subfunctions of attention: Differential developmental gateways to literacy and numeracy. Child Development, 83(6), 2028– 2041. 10.1111/j.1467-8624.2012.01809.x 22804751 · DOI
- Todd RM, Cunningham WA, Anderson AA, & Thompson E (2012). Affect-biased attention as emotion regulation. Trends in Cognitive Sciences, 16(7), 365– 372. 10.1016/j.tics.2012.06.003 22717469 · DOI · Paper page
- Troller-Renfree SV, Buzzell GA, & Fox NA (2020). Changes in working memory influence the transition from reactive to proactive cognitive control during childhood. Developmental Science, 23(6), 1– 9. 10.1111/desc.12959 32141641 · DOI
- Valentino R (2017). Will public pre-k really close achievement gaps? Gaps in prekindergarten quality between students and across states. American Educational Research Journal, 55(1), 79– 116. 10.3102/0002831217732000 · DOI
- Vandell DL, Belsky J, Burchinal M, Steinberg L, & Vandergrift N (2010). Do effects of early child care extend to age 15 years? Results from the NICHD study of early childcare and youth development. Child Development, 81(3), 737– 56. 10.1111/j.1467-8624.2010.01431.x 20573102 PMC2938040 · DOI
- Watts T, Duncan GJ, and Rivas M (2019). A reanalysis of impacts of the Tennessee Voluntary Prekindergarten Program (EdWorkingPaper: 19– 28). Retrieved from Annenberg Institute at Brown University: 10.26300/mzk4-jk96 · DOI
- 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, 1401– 1422. 10.1111/cdev.13308 31663607 · DOI
- Wong VC, Cook TD, Barnett WS, & Jung K (2008). An effectiveness-based evaluation of five state pre-kindergarten programs. Journal of Policy Analysis and Management, 27(1), 122– 154. 10.1002/pam.20310 · DOI
- Yaple ZA, & Yu R, (2020). Functional and structural brain correlates of socioeconomic status. Cerebral Cortex, 30(1), 181– 196. 10.1093/cercor/bhz080 31044253 · DOI
Cited by
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Blanden, J., Doepke, M., & Stuhler, J. (2022) · National Bureau of Economic Research · doi:10.3386/w29979 · Cited by 47 · see citing works
- Authors
- Durkin, K., Lipsey, M. W., Farran, D. C., & Wiesen, S. E.
- Affiliations
- Vanderbilt University (US)
- Venue
- Developmental Psychology
- Published
- 2022-03
- Volume
- 58
- Issue
- 3
- Pages
- 470-484
- ISSN
- 0012-1649 (ISSN-L)
- 1939-0599
- PMC
- PMC9716729
- OpenAlex
- W4206097100
- Cited by
- 137
- References
- 2
- Citations by year
- 2026: 20 · 2025: 26 · 2024: 41 · 2023: 32 · 2022: 17 · 2021: 1
- FWCI
- 62.57
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-06-27)
- Open access
- hybrid
- doi.org
- Locations
- Developmental Psychology (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- US Department of Education (R305E090009; R305A210130)
- US Department of Health and Human Services (R01HD079461-01)
- Topics
- Social Sciences › Education › Early Childhood Education and Development
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Safety Research › Poverty, Education, and Child Welfare
- Keywords
- pre-kindergarten, early childhood education, academic performance, student discipline, school attendance, special education services, student retention, low-income children, long-term educational outcomes, waitlist control
- MeSH terms
- Achievement, Child, Education, Special, Educational Status, Humans, Poverty, Schools
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