IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v143y2022ics0190740922002614.html
   My bibliography  Save this article

Governing early learning among the American states

Author

Listed:
  • Rauch Griffard, Megan
  • Sadler, James
  • Little, Michael
  • Cohen-Vogel, Lora

Abstract

Researchers have posited that possible explanations that contribute to the variability in Pre-K program quality and subsequent mixed results in terms of student outcomes include, among others, an uncoordinated Pre-K delivery system and misalignment between the Pre-K and K-12 sectors. This study investigates one mechanism by which states attempt to resolve challenges resulting from mixed delivery and vertical misalignment: their governance structures, as identified by Kagan’s (2015) as one mechanism in the systems-focused model for the provision of high-quality early education. By collecting and analyzing documents from all 50 states, we describe how early learning is governed across the U.S. Finding variability, we organize state governance structures into a five-category taxonomy. We then analyze the mission statement, scope, and goals of each state’s early childhood council and find only a small subset address issues related to vertical alignment. The findings take on added significance as Congress debates the American Families Plan, the Biden Administration’s initiative that would partner with states to offer free, high-quality preschool to all of the nation’s three- and four-year-olds.

Suggested Citation

  • Rauch Griffard, Megan & Sadler, James & Little, Michael & Cohen-Vogel, Lora, 2022. "Governing early learning among the American states," Children and Youth Services Review, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:cysrev:v:143:y:2022:i:c:s0190740922002614
    DOI: 10.1016/j.childyouth.2022.106625
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740922002614
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2022.106625?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    2. Gray, Virginia, 1973. "Innovation in the States: A Diffusion Study," American Political Science Review, Cambridge University Press, vol. 67(4), pages 1174-1185, December.
    3. James J. Heckman & Ganesh Karapakula, 2019. "Intergenerational and Intragenerational Externalities of the Perry Preschool Project," NBER Working Papers 25889, National Bureau of Economic Research, Inc.
    4. Little, Michael, 2020. "Educators’ views on the location of Pre-K programs and its relation to features of P-3 alignment: An exploratory study," Children and Youth Services Review, Elsevier, vol. 118(C).
    5. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    6. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Felix Strebel & Thomas Widmer, 2012. "Visibility and facticity in policy diffusion: going beyond the prevailing binarity," Policy Sciences, Springer;Society of Policy Sciences, vol. 45(4), pages 385-398, December.
    2. Xiaohan Li & Yang Lv & Md Nazirul Islam Sarker & Xun Zeng, 2022. "Assessment of Critical Diffusion Factors of Public–Private Partnership and Social Policy: Evidence from Mainland Prefecture-Level Cities in China," Land, MDPI, vol. 11(3), pages 1-15, February.
    3. Christoph Engel & Alon Klement & Karen Weinshall Margel, 2017. "Diffusion of Legal Innovations: The Case of Israeli Class Actions," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2017_11, Max Planck Institute for Research on Collective Goods, revised Jan 2018.
    4. Weixing Liu & Hongtao Yi, 2020. "What Affects the Diffusion of New Energy Vehicles Financial Subsidy Policy? Evidence from Chinese Cities," IJERPH, MDPI, vol. 17(3), pages 1-15, January.
    5. Stoian, Adrian & Fishback, Price, 2010. "Welfare spending and mortality rates for the elderly before the Social Security era," Explorations in Economic History, Elsevier, vol. 47(1), pages 1-27, January.
    6. Saatvika Rai, 2020. "Policy Adoption and Policy Intensity: Emergence of Climate Adaptation Planning in U.S. States," Review of Policy Research, Policy Studies Organization, vol. 37(4), pages 444-463, July.
    7. Thomas Holyoke & Jeffrey Henig & Heath Brown & Natalie Lacireno-Paquet, 2009. "Policy dynamics and the evolution of state charter school laws," Policy Sciences, Springer;Society of Policy Sciences, vol. 42(1), pages 33-55, February.
    8. Nadiya Kostyuk, 2024. "Allies and diffusion of state military cybercapacity," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(1), pages 44-58, January.
    9. Fabrizio Gilardi, 2010. "Who Learns from What in Policy Diffusion Processes?," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 650-666, July.
    10. Jolley, G. Jason, 2023. "The Political Economy of Local Government Enterprise Zone Designation," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 53(2), September.
    11. Lanahan, Lauren & Feldman, Maryann P., 2015. "Multilevel innovation policy mix: A closer look at state policies that augment the federal SBIR program," Research Policy, Elsevier, vol. 44(7), pages 1387-1402.
    12. King, David & Zeckhauser, Richard & Kim, Mark, 2004. "The Management Performance of the U.S. States," Working Paper Series rwp04-028, Harvard University, John F. Kennedy School of Government.
    13. Suk Joon Hwang & Frances Berry, 2019. "Deterring Drunk Driving: Why Some States Go Further Than Others in Policy Innovation," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    14. Amihai Glazer & Hiroki Kondo, 2007. "Innovation and Imitation Across Jurisdictions," Working Papers 070807, University of California-Irvine, Department of Economics.
    15. Conghu Wang & Xiaoming Li & Wenjuan Ma & Xiaopeng Wang, 2020. "Diffusion models over the life cycle of an innovation: A bottom‐up and top‐down synthesis approach," Public Administration & Development, Blackwell Publishing, vol. 40(2), pages 105-118, May.
    16. Yi, Hongtao & Feiock, Richard C. & Berry, Frances S., 2017. "Overcoming collective action barriers to energy sustainability: A longitudinal study of climate protection accord adoption by local governments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 339-346.
    17. Stephanie Leiser, 2017. "The Diffusion of State Film Incentives: A Mixed-Methods Case Study," Economic Development Quarterly, , vol. 31(3), pages 255-267, August.
    18. Yingchao Ji & Jie Yin, 2022. "Diffusion Characteristics and Driving Factors of the Smart Tourism City Policy—Event History Analysis," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    19. Yuanyuan Huang & Lizhen Wei & Guiwen Liu & Wenjing Cui & Fangyun Xie & Xun Deng, 2022. "“Inspiring” Policy Transfer: Analysis of Urban Renewal in Four First-Tier Chinese Cities," Land, MDPI, vol. 12(1), pages 1-31, December.
    20. Valente, Thomas W. & Pitts, Stephanie & Wipfli, Heather & Vega Yon, George G., 2019. "Network influences on policy implementation: Evidence from a global health treaty," Social Science & Medicine, Elsevier, vol. 222(C), pages 188-197.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:143:y:2022:i:c:s0190740922002614. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.