IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v109y2020ics0190740919302543.html
   My bibliography  Save this article

Preschool teachers’ transition practices and parents’ perceptions as predictors of involvement and children’s school readiness

Author

Listed:
  • Puccioni, Jaime
  • Froiland, John Mark
  • Moeyaert, Mariola

Abstract

Preschool teachers can help support families and children successfully transition to kindergarten by utilizing transition practices that support parental involvement and create smooth linkages between early care settings and formal schooling. Additionally, parents’ perceptions of invitations for involvement may also play an important role in shaping parental involvement. Using nationally representative data from the Early Childhood Longitudinal Study – Birth cohort (N ≈ 4100) a structural equation model was estimated to examine the relationship among preschool teachers’ transition practices, parents’ perceptions of invitations for involvement, parental involvement, and measures of school readiness during the transition to kindergarten. Results indicate that parent’s perceptions of invitations for involvement are positively associated with home-based parental involvement. Additionally, home-based involvement was predictive of school readiness measures. More specifically, findings suggest that parents who have more positive perceptions about preschool teachers’ invitations for involvement report engaging in more home-based involvement activities, which in turn, was positively associated with children’s academic achievement and prosocial behaviors and negatively associated with conduct problems and hyperactivity/inattention. Results from this study have important practical implications for educators who aim to encourage parental involvement that supports children’s transition to elementary school.

Suggested Citation

  • Puccioni, Jaime & Froiland, John Mark & Moeyaert, Mariola, 2020. "Preschool teachers’ transition practices and parents’ perceptions as predictors of involvement and children’s school readiness," Children and Youth Services Review, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:cysrev:v:109:y:2020:i:c:s0190740919302543
    DOI: 10.1016/j.childyouth.2019.104742
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740919302543
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2019.104742?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. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Susan Sonnenschein & Claudia Galindo, 2015. "Race/Ethnicity and Early Mathematics Skills: Relations Between Home, Classroom, and Mathematics Achievement," The Journal of Educational Research, Taylor & Francis Journals, vol. 108(4), pages 261-277, June.
    3. Claessens, Amy & Duncan, Greg & Engel, Mimi, 2009. "Kindergarten skills and fifth-grade achievement: Evidence from the ECLS-K," Economics of Education Review, Elsevier, vol. 28(4), pages 415-427, August.
    4. Datar, Ashlesha, 2006. "Does delaying kindergarten entrance give children a head start?," Economics of Education Review, Elsevier, vol. 25(1), pages 43-62, February.
    5. Thomas S. Dee & Hans Henrik Sievertsen, 2018. "The gift of time? School starting age and mental health," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 781-802, May.
    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. Yoosik Shin, 2023. "School starting age policy and students' risky health behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 32(11), pages 2446-2459, November.
    2. Levasseur, Pierre, 2022. "School starting age and nutritional outcomes: Evidence from Brazil," Economics & Human Biology, Elsevier, vol. 45(C).
    3. Mario Fiorini & Katrien Stevens, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1475-1526, December.
    4. Ryu, Hanbyul & Helfand, Steven M. & Moreira, Roni Barbosa, 2020. "Starting early and staying longer: The effects of a Brazilian primary schooling reform on student performance," World Development, Elsevier, vol. 130(C).
    5. Claire J. McCartan & Jennifer Roberts & Julie‐Ann Jordan, 2023. "Centre‐based early education interventions for improving school readiness: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(4), December.
    6. Kaestner, Robert, 2016. "Do `Skills Beget Skills'? Evidence on the effect of kindergarten entrance age on the evolution of cognitive and non-cognitive skill gaps in childhoodAuthor-Name: Lubotsky, Darren," Economics of Education Review, Elsevier, vol. 53(C), pages 194-206.
    7. Grace Arnold & Briggs Depew, 2018. "School starting age and long‐run health in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1904-1920, December.
    8. Julio Cáceres-Delpiano & Eugenio Giolito, 2022. "School Starting Age and the impact on School Admission," CEMA Working Papers: Serie Documentos de Trabajo. 840, Universidad del CEMA.
    9. Huang, Cheng & Zhang, Shiying & Zhao, Qingguo, 2020. "The early bird catches the worm? School entry cutoff and the timing of births," Journal of Development Economics, Elsevier, vol. 143(C).
    10. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    11. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    12. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.
    13. Claire Crawford & Lorraine Dearden & Ellen Greaves, 2013. "Identifying the drivers of month of birth differences in educational attainment," DoQSS Working Papers 13-07, Quantitative Social Science - UCL Social Research Institute, University College London.
    14. repec:pri:crcwel:wp11-12-ff is not listed on IDEAS
    15. Görlitz, Katja & Penny, Merlin & Tamm, Marcus, 2022. "The long-term effect of age at school entry on cognitive competencies in adulthood," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 91-104.
    16. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    17. Liangyuan Hu & Lihua Li, 2022. "Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    18. Norah Alyabs & Sy Han Chiou, 2022. "The Missing Indicator Approach for Accelerated Failure Time Model with Covariates Subject to Limits of Detection," Stats, MDPI, vol. 5(2), pages 1-13, May.
    19. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    20. Leuven, Edwin & Lindahl, Mikael & Oosterbeek, Hessel & Webbink, Dinand, 2010. "Expanding schooling opportunities for 4-year-olds," Economics of Education Review, Elsevier, vol. 29(3), pages 319-328, June.
    21. Ida Kubiszewski & Kenneth Mulder & Diane Jarvis & Robert Costanza, 2022. "Toward better measurement of sustainable development and wellbeing: A small number of SDG indicators reliably predict life satisfaction," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 139-148, February.

    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:109:y:2020:i:c:s0190740919302543. 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.