Skip to main content
Log in

Predicting Students’ Mathematics Achievement Through Elementary and Middle School: The Contribution of State-Funded Prekindergarten Program Participation

  • Original Paper
  • Published:
Child & Youth Care Forum Aims and scope Submit manuscript

Abstract

Background

Prekindergarten programs are instrumental for smooth transition to the primary grades. Although the prevalence of these programs has expanded, limited studies document the long-term outcomes associated with children’s engagement in such programs and for specific content areas such as mathematics.

Objective

This study predicted the longitudinal mathematics achievement of 458 students as they progressed through elementary and middle school, accounting for their participation in Georgia’s prekindergarten (Pre-K) program at age 4.

Method

Archived academic achievement data in mathematics were extracted from one school district in the southeastern United States. A multilevel approach was employed to account for the nesting of students within schools. Liner and logistic regression analyses were used to examine the long-term relationship between prekindergarten participation and mathematics achievement.

Results

After controlling for the effects of race, sex, and poverty, results indicated that participation in Georgia’s Pre-K program positively predicted mathematics achievement through seventh grade. For fourth through seventh grades, the odds of a Georgia Pre-K participant meeting the state’s academic standards on the statewide standardized test were 1.67–2.10 times greater than the odds for a nonparticipant.

Conclusion

Although the reported effect sizes were small, children’s participation in the Georgia Pre-K program had a long-term influence on their mathematics achievement through elementary and middle school, providing evidence of sustained benefits of a state-funded prekindergarten program. Quality learning experiences during the early years might provide skills and knowledge that serve as building blocks for later mathematics achievement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Andrews, R. J., Jargowsky, P., & Kuhne, K. (2012). The effects of Texas’s targeted pre-Kindergarten program on academic performance. NBER Working Paper No. 18598.

  • Bailey, D. H., Duncan, G., Odgers, C., & 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.

    Article  PubMed  Google Scholar 

  • Barnett, W. S. (2011). Effectiveness of early educational intervention. Science, New Series, 333(6045), 975–978. https://doi.org/10.1126/science.1204534.

    Article  Google Scholar 

  • Barnett, W. S., & Frede, E. C. (2017). Long-term effects of a system of high-quality universal preschool education in the United States. In H. P. Blossfeld, N. Kulic, J. Skopek, & M. Triventi (Eds.), Childcare, early education and social inequality: An international perspective (pp. 152–172). Edward Elgar. https://doi.org/10.4337/9781786432094.00018

  • Barnett, W. S., Jung, K., Youn, M., & Frede, E. C. (2013). Abbott Preschool Program Longitudinal Effects Study: Fifth grade follow-up. National Institute for Early Education Research: The State University of New Jersey.

    Google Scholar 

  • 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, 60, 1–23. https://doi.org/10.1111/cdev.13067.

    Article  Google Scholar 

  • Becker, D. R., Miao, A., Duncan, R., & McClelland, M. M. (2014). Behavioral self-regulation and executive function both predict visuomotor skills and early academic achievement. Early Childhood Research Quarterly, 29(4), 411–424. https://doi.org/10.1016/j.ecresq.2014.04.014

    Article  Google Scholar 

  • Bishaw, A., & Iceland, J. (2002). Poverty: 1999 (Census 2000 brief). U.S: Department of Commerce, Economics and Statistics Administration, U.S. Census Bureau.

    Google Scholar 

  • Bodovski, K., & Farkas, G. (2007). Mathematics growth in early elementary school: The roles of beginning knowledge, student engagement, and instruction. Elementary School Journal, 108(2), 115–130. https://doi.org/10.1086/525550.

    Article  Google Scholar 

  • Bowen, G. L., Bowen, N. K., & Richman, J. M. (2000). School size and middle school students’ perceptions of the school environment. Social Work in Education, 22(2), 69–82.

    Google Scholar 

  • Brendefur, J., Strother, S., Thiede, K., Lane, C., & Surges-Prokop, M. J. (2013). A professional development program to improve math skills among preschool children in Head Start. Early Childhood Education Journal, 41(3), 187–195. https://doi.org/10.1007/s10643-012-0543-8.

    Article  Google Scholar 

  • Brown, C. P., & Gasko, J. W. (2012). Why should Pre-K be more like elementary school? A case study of Pre-K reform. Journal of Research in Childhood Education, 26(3), 264–290. https://doi.org/10.1080/02568543.2012.686471.

    Article  Google Scholar 

  • Burchinal, M., Vandergrift, N., Pianta, R., & Mashburn, A. (2010). Threshold analysis of association between child care quality and child outcomes for low-income children in Pre-K classrooms. Early Childhood Research Quarterly, 25(2), 166–176. https://doi.org/10.1016/j.ecresq.2009.10.004.

    Article  Google Scholar 

  • Calman, L. J., & Tarr-Whelan, L. (2005). Early education for all: A wise investment. Legal Momentum.

  • Campbell, F. A., Pungello, E. P., Burchinal, M., Kainz, K., Pan, Y., Wasik, B. H., et al. (2012). Adult outcomes as a function of an early childhood educational program: An Abecedarian Project follow-up. Developmental Psychology, 48(4), 1033–1043. https://doi.org/10.1037/a0026644.

    Article  PubMed  PubMed Central  Google Scholar 

  • Casey, B. M., Lombardi, C. M., Thomson, D., Nguyen, H. N., Paz, M., Theriault, C. A., & Dearing, E. (2018). Maternal support of children’s early numerical concept learning predicts preschool and first-grade math achievement. Child Development, 89(1), 156–173. https://doi.org/10.1111/cdev.12676.

    Article  PubMed  Google Scholar 

  • Chien, N. C., Howes, C., Burchinal, M., Pianta, R. C., Ritchie, S., Bryant, D. M., et al. (2010). Children’s classroom engagement and school readiness gains in Pre-K. Child Development, 81(5), 1534–1549. https://doi.org/10.1111/j.1467-8624.2010.01490.x.

    Article  PubMed  Google Scholar 

  • Choi, J. Y., & Dobbs-Oates, J. (2014). Childcare quality and preschoolers’ math development. Early Child Development and Care, 184(6), 915–932. https://doi.org/10.1080/03004430.2013.829822.

    Article  Google Scholar 

  • Clements, D. H., & Sarama, J. (2011). Early childhood mathematics intervention. Science, 333, 968–970. https://doi.org/10.1126/science.1204537.

    Article  PubMed  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New Jersey: Erlbaum.

  • de Mello, B., Bohrnstedt, G., Blankenship, C., & Sherman, D. (2015). Mapping state proficiency standards onto NAEP scales: Results from the 2013 NAEP reading and mathematics assessments. National Center for Education Statistics.

  • del Rio, M. F., Susperreguy, M. I., Strasser, K., & Salinas, V. (2017). Distinct influences of mothers and fathers on kindergarteners’ numeracy performance: The role of math anxiety, home numeracy practices, and numeracy expectations. Early Education and Development, 28(8), 939–955. https://doi.org/10.1080/10409289.2017.1331662.

    Article  Google Scholar 

  • 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.

    Article  PubMed  Google Scholar 

  • Dodge, K. A., Bai, Y., Ladd, H. F., & Muschkin, C. G. (2019). Evaluation of North Carolina early childhood program among middle school students. Duke University.

  • Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., et al. (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428–1446. https://doi.org/10.1037/0012-1649.43.6.1428.

    Article  PubMed  Google Scholar 

  • Early, D., Barbarin, O., Bryant, D., Burchinal, M., Chang, F., Clifford, R., Crawford, G., Weaver, W., Howes, C., Ritchie, S., Kraft-Sayre, M., Pianta, R., & Barnett, W. S. (2005). Pre-Kindergarten in eleven states: NCEDL’s multi-state study of Pre-Kindergarten and Study of State-Wide Early Education Programs (SWEEP): Preliminary descriptive report. FPG Child Development Institute.

  • Early, D., Li, W., Maxwell, K. L., & Ponder, B. D. (2019). Participation in Georgia’s Pre-K as a predictor of third-grade standardized test scores. AERA Open, 5(2), 1–16. https://doi.org/10.1177/2332858419848687.

    Article  Google Scholar 

  • Fitzpatrick, M. D. (2008). Starting school at four: The effect of universal Pre-K on children’s academic achievement. http://www.bepress.com/bejeap/vol8/iss1/art46

  • Friedman-Krauss, A. H., Barnett, W. S., Garver, K.A., Hodges, K.S., Weisenfeld, G. G., & DiCrecchio, N. (2019). The state of preschool 2018: State preschool yearbook. National Institute for Early Education Research.

  • Georgia Department of Early Care and Learning. (2012–2013). Georgia’s Pre-K Program content standards.

  • Georgia Department of Education. (2008). An assessment and accountability brief: Validity and reliability for the 2008 Criterion-Referenced Competency Tests.

  • Georgia Department of Education (2012). Georgia Criterion-Referenced Competency Tests: 2012 CRCT Score Interpretation Guide Grades 3 through 8.

  • Georgia Department of Education (2013). Georgia Criterion-Referenced Competency Tests:CRCT Content Descriptions Mathematics Grades 3 through 8.

  • Gilliam, W. S., & Zigler, E. F. (2001). A critical meta-analysis of all evaluations of state-funded preschool from 1977 to 1998: Implications for policy, service delivery and program evaluation. Early Childhood Research Quarterly, 15(4), 441–473. https://doi.org/10.1016/S0885-2006(01)00073-4.

    Article  Google Scholar 

  • Ginsberg, H. (2009). Early mathematics education and how to do it. In O. A. Barbarin & B. H. Wasik (Eds.), Handbook of child development and early education (pp. 403–428). Guilford Press.

  • Gormley, W. T., Jr., Phillips, D., & Anderson, S. (2017). 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.

    Article  Google Scholar 

  • Hachey, A. C. (2013). The early childhood mathematics education revolution. Early Education and Development, 24(4), 419–430. https://doi.org/10.1080/10409289.2012.756223.

    Article  Google Scholar 

  • Harcourt Educational Measurement, (2001). Stanford Achievement Test (9th ed.).

  • 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(1–2), 114–128. https://doi.org/10.1016/j.jpubeco.2009.11.001.

    Article  PubMed  PubMed Central  Google Scholar 

  • Henry, G. T., Rickman, D. K., Ponder, B. D., Henderson, L. W., Mashburn, A., & Gordon, C. S. (2005). Report of the findings from the Georgia Early Childhood Study: 2001–2004. Andrew Young School of Policy Studies: Georgia State University.

    Google Scholar 

  • High/Scope Educational Research Foundation. (1998). High/Scope Program Quality Assessment: PQA-Preschool Version. High/Scope Press.

  • Hill, C. J., Gormley, W. T., Jr., & Adelstein, S. (2015). Do the short-term effects of a high-quality preschool program persist? Early Childhood Research Quarterly, 32, 60–79. https://doi.org/10.1016/j.ecresq.2014.12.005

    Article  Google Scholar 

  • Hustedt, J. T., Barnett, W. S., Jung, K. & Figueras-Daniel, A. (2009). Continued impacts of New Mexico PreK on children’s readiness for kindergarten: Results from the third year of implementation. National Institute for Early Education Research.

  • Impara, J. C., & Plake, B. S. (Eds.). (1998). The thirteenth mental measurements yearbook. Buros Institute of Mental Measurements.

  • Jordan, N. C., Kaplan, D., Ramineni, C., & Locuniak, M. N. (2009). Early math matters: Kindergarten number competence and later mathematics outcomes. Developmental Psychology, 45(3), 850–867. https://doi.org/10.1037/a0014939.

    Article  PubMed  PubMed Central  Google Scholar 

  • Keys, T. D., Farkas, G., Burchinal, M. R., Duncan, G. J., Vandell, D. L., Li, W., et al. (2013). Preschool center quality and school readiness: Quality effects and variation by demographic and child characteristics. Child Development, 84(4), 1171–1190. https://doi.org/10.1111/cdev.12048.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kim, H., Duran, C. K., Cameron, C. E., & Grissmer, D. (2018). Developmental relations among motor and cognitive processes and mathematics skills. Child Development, 89(2), 476–494. https://doi.org/10.1111/cdev.12752.

    Article  PubMed  Google Scholar 

  • Klingbeil, D. A., Van Norman, E. R., Nelson, P. M., & Birr, C. (2018). Evaluating screening procedures across changes to the statewide achievement test. Assessment for Effective Intervention, 44(1), 17–31. https://doi.org/10.1177/1534508417747390.

    Article  Google Scholar 

  • Kyttälä, M., & Björn, P. M. (2014). The role of literacy skills in adolescents’ mathematics word problem performance: Controlling for visuo-spatial ability and mathematics anxiety. Learning and Individual Differences, 29, 59–66. https://doi.org/10.1016/j.lindif.2013.10.010.

    Article  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.

    Article  Google Scholar 

  • Magnuson, K. A., Ruhm, C., & Waldfogel, J. (2007). Does prekindergarten improve school preparation and performance? Economics of Education Review, 26(1), 33–51. https://doi.org/10.1016/j.econedurev.2005.09.008.

    Article  Google Scholar 

  • McCabe, L. A., & Sipple, J. W. (2011). Colliding worlds: Practical and political tensions of Pre-K implementation in public schools. Educational Policy, 25(1), e1–e26. https://doi.org/10.1177/0895904810387415.

    Article  Google Scholar 

  • Moore, M. H. (2009). Georgia’s Pre-K program: Bright from the start. In R. C. Pianta & C. Howes (Eds.), The promise of Pre-K (pp. 107–122). Oxford: Brookes.

  • Nakagawa, S., Johnson, P. C. D., & Schielzeth, H. (2017). The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. Journal of the Royal Society Interface., 14(134), 1–11. https://doi.org/10.1098/rsif.2017.0213.

    Article  Google Scholar 

  • Nakagawa, S., & Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4(2), 133–142. https://doi.org/10.1111/j.2041-210x.2012.00261.x.

    Article  Google Scholar 

  • National Mathematics Advisory Panel. (2008). Foundations for success: The final report of the National Mathematics Advisory Panel. U.S. Department of Education, Office of Planning, Evaluation and Policy Development.

  • National Research Council. (2005). Mathematical and scientific development in early childhood: A workshop summary. New York: National Academies Press.

  • National Research Council (2009). Mathematics learning in early childhood: Paths toward excellence and equity.

  • Peisner-Feinberg, E. S., & Schaaf, J. M. (2010). Long-term effects of the North Carolina More at Four Pre-K program: Children’s reading and math skills at third grade. FPG Child Development Institute: The University of North Carolina at Chapel Hill.

    Google Scholar 

  • Phillips, D., Gormley, W., & Anderson, S. (2016). The effects of Tulsa’s CAP Head Start program on middle-school academic outcomes and progress. Developmental Psychology, 52(8), 1247–1261. https://doi.org/10.1037/dev0000151.

    Article  PubMed  Google Scholar 

  • Phillips, D., Lipsey, M., Dodge, K., Haskins, R., Bassok, D., Burchinal, M., Duncan, G. J., Dynarski, M., Magnuson, A., & Weiland, C. (2017). Puzzling it out: The current state of scientific knowledge on Pre-Kindergarten effects. A consensus statement. In K. Dodge (Ed.), Issues in pre-kindergarten programs and policy (pp. 19–30). Oxford: Brookings.

  • Polikoff, M. S., Porter, A. C., & Smithson, J. (2011). How well aligned are state assessments of student achievement with state content standards? American Educational Research Journal, 48(4), 965–995. https://doi.org/10.3102/0002831211410684.

    Article  Google Scholar 

  • Potter, D., & Morris, D. S. (2016). Family and schooling experiences in racial/ethnic academic achievement gaps: A cumulative perspectives. Sociological Perspectives, 60(1), 132–167. https://doi.org/10.1177/0731121416629989.

    Article  Google Scholar 

  • Powell, M. J. D. (2009). The BOBYQA algorithm for bound constrained optimization without derivatives. Cambridge University’s Department of Applied Mathematics and Theoretical Physics.

  • Ramani, G. B., & Siegler, R. S. (2008). Promoting broad and stable improvements in low-income children’s numerical knowledge through playing number board games. Child Development, 79(2), 375–394. https://doi.org/10.1111/j.1467-8624.2007.01131.x.

    Article  PubMed  Google Scholar 

  • Reynolds, A. J., Ou, S., & Temple, J. A. (2018). A multicomponent, preschool to third grade preventive intervention and educational attainment at 35 years of age. JAMA Pediatrics, 172(3), 247–256. https://doi.org/10.1001/jamapediatrics.2017.4673.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rittle-Johnson, B., Fyfe, E. R., Hofer, K. G., & Farran, D. C. (2017). Early math trajectories: Low-income children’s mathematics knowledge from ages 4–11. Child Development, 88(5), 1727–1742. https://doi.org/10.1111/cdev.12662.

    Article  PubMed  Google Scholar 

  • Sarama, J., Lange, A. A., Clements, D. H., & Wolfe, C. B. (2012). The impacts of an early mathematics curriculum on oral language and literacy. Early Childhood Research Quarterly, 27(3), 489–502. https://doi.org/10.1016/j.ecresq.2011.12.002.

    Article  Google Scholar 

  • Schweinhart, L. (2014). The value of high-quality full-day preschool. Journal of the American Medical Association, 312(20), 2101–2102. https://doi.org/10.1001/jama.2014.15124.

    Article  PubMed  Google Scholar 

  • Siegler, R., & Lortie-Forgues, H. (2014). An integrative theory of numerical development. Child Development Perspectives, 8(3), 144–150. https://doi.org/10.1111/cdep.12077.

    Article  Google Scholar 

  • Skibbe, L. E., Hindman, A. H., Connor, C. M., Housey, M., & Morrison, F. J. (2013). Relative contributions of Pre-K and kindergarten to children’s literacy and mathematics skills. Early Education & Development, 24(5), 687–703. https://doi.org/10.1080/10409289.2012.712888.

    Article  Google Scholar 

  • Tudge, J. R. H., & Doucet, F. (2004). Early mathematical experiences: Observing young Black and White children’s everyday activities. Early Childhood Research Quarterly, 19(1), 21–39. https://doi.org/10.1016/j.ecresq.2004.01.007.

    Article  Google Scholar 

  • Verdine, B. N., Irwin, C. M., Golinkoff, R. M., & Hirsh-Pasek, K. (2014). Contributions of executive function and spatial skills to preschool mathematics achievement. Journal of Experimental Child Psychology, 126, 37–51. https://doi.org/10.1016/j.jecp.2014.02.012.

    Article  PubMed  PubMed Central  Google Scholar 

  • Virginia University Research Consortium on Early Childhood. (2015). Predicting on-time promotion to and literacy achievement in eighth grade in relation to public prekindergarten in Virginia. Virginia Early Childhood Foundation.

  • Wang, A. H. (2010). Optimizing early mathematics experiences for children from low-income families: A study on opportunity to learn. Early Childhood Education Journal, 37(4), 295–302. https://doi.org/10.1007/s10643-009-0353-9.

    Article  Google Scholar 

  • Watts, T. W., Duncan, G. J., Clements, D. H., & Sarama, J. (2017). What is the long-run impact of learning mathematics during preschool? Child Development, 89(2), 539–555. https://doi.org/10.1111/cdev.12713.

    Article  PubMed  PubMed Central  Google Scholar 

  • Watts, T. W., Gandhi, J., Ibrahim, D. A., Masucci, M. D., & Raver, C. C. (2018). The Chicago School Readiness Project: Examining the long-term impacts of an early childhood intervention. PLoS ONE, 13(7), e0200144. https://doi.org/10.1371/journal.pone.0200144.

    Article  PubMed  PubMed Central  Google Scholar 

  • Weiland, C., Wolfe, C. B., Hurwitz, M. D., Clements, D. H., Sarama, J. H., & Yoshikawa, H. (2012). Early mathematics assessment: Validation of the short form of a Pre-K and kindergarten mathematics measure. Educational Psychology: An International Journal of Experimental Educational Psychology, 32(3), 311–333. https://doi.org/10.1080/01443410.2011.654190.

    Article  Google Scholar 

  • 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.

    Article  PubMed  Google Scholar 

  • Welsh, J. A., Nix, R. L., Blair, C., Bierman, K. L., & Nelson, K. E. (2010). The development of cognitive skills and gains in academic school readiness for children from low-income families. Journal of Educational Psychology, 102(1), 43–53. https://doi.org/10.1037/a0016738.

    Article  PubMed  PubMed Central  Google Scholar 

  • Westfall, J., Kenny, D. A., & Judd, C. M. (2014). Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli. Journal of Experimental Psychology: General, 143(5), 2020–2045. https://doi.org/10.1037/xge0000014.

    Article  Google Scholar 

  • Yoshikawa, H., Weiland, C., Brooks-Gunn, J., Burchinal, M. R., Espinosa, L. M., Gormley, W. T., Ludwig, J., Magnuson, K. A., Philips, D., & Zaslow, M. J. (2013). Investing in our future: The evidence base on preschool education. Society for Research in Child Development and Foundation for Child Development.

  • Zur, O., & Gelman, R. (2004). Young children can add and subtract by predicting and checking. Early Childhood Research Quarterly, 19(1), 121–137. https://doi.org/10.1016/j.ecresq.2004.01.003.

    Article  Google Scholar 

Download references

Funding

This study was supported by a grant from Kyung Hee University (KHU-20182224).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jisu Han.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethics Approval

This research was considered exempt by the University of Georgia Institutional Review Board.

Consent to Participate

Researchers were provided with a de-identified dataset for the participating children in this study by the partnering school district.

Access to Data

Both authors take responsibility for the integrity of the data and the accuracy of the data analysis.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, J., Neuharth-Pritchett, S. Predicting Students’ Mathematics Achievement Through Elementary and Middle School: The Contribution of State-Funded Prekindergarten Program Participation. Child Youth Care Forum 50, 587–610 (2021). https://doi.org/10.1007/s10566-020-09595-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10566-020-09595-w

Keywords

Navigation