IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v40y2016i4p279-313.html
   My bibliography  Save this article

Academic and Behavioral Design Parameters for Cluster Randomized Trials in Kindergarten

Author

Listed:
  • E. C. Hedberg

Abstract

Background: There is an increased focus on randomized trials for proximal behavioral outcomes in early childhood research. However, planning sample sizes for such designs requires extant information on the size of effect, variance decomposition, and effectiveness of covariates. Objectives: The purpose of this article is to employ a recent large representative sample of early childhood longitudinal study kindergartners to estimate design parameters for use in planning cluster randomized trials. A secondary objective is to compare the results of math and reading with the previous kindergartner cohort of 1999. Research Design: For each measure, fall–spring gains in effect size units are calculated. In addition, multilevel models are fit to estimate variance components that are used to calculate intraclass correlations (ICCs) and R 2 statistics. The implications of the reported parameters are summarized in tables of required school sample sizes to detect small effects. Measures: The outcomes include information about student scores regarding learning behaviors, general behaviors, and academic abilities. Results: Aside from math and reading, there were small gains in these measures from fall to spring, leading to effect sizes between about .1 and .2. In addition, the nonacademic ICCs are smaller than the academic ICCs but are still nontrivial. Use of a pretest covariate is generally effective in reducing the required sample size in power analyses. The ICCs for math and reading are smaller for the current sample compared with the 1999 sample.

Suggested Citation

  • E. C. Hedberg, 2016. "Academic and Behavioral Design Parameters for Cluster Randomized Trials in Kindergarten," Evaluation Review, , vol. 40(4), pages 279-313, August.
    • Handle: RePEc:sae:evarev:v:40:y:2016:i:4:p:279-313
    DOI: 10.1177/0193841X16655657
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X16655657
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X16655657?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
    ---><---

    References listed on IDEAS

    as
    1. Sophia Rabe‐Hesketh & Anders Skrondal, 2006. "Multilevel modelling of complex survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 805-827, October.
    2. E. C. Hedberg & Larry V. Hedges, 2014. "Reference Values of Within-District Intraclass Correlations of Academic Achievement by District Characteristics," Evaluation Review, , vol. 38(6), pages 546-582, December.
    3. Larry V. Hedges & E. C. Hedberg, 2013. "Intraclass Correlations and Covariate Outcome Correlations for Planning Two- and Three-Level Cluster-Randomized Experiments in Education," Evaluation Review, , vol. 37(6), pages 445-489, December.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marie-Andrée Somers & Michael J. Weiss & Colin Hill, 2023. "Design Parameters for Planning the Sample Size of Individual-Level Randomized Controlled Trials in Community Colleges," Evaluation Review, , vol. 47(4), pages 599-629, August.

    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. Ben Kelcey & Zuchao Shen & Jessaca Spybrook, 2016. "Intraclass Correlation Coefficients for Designing Cluster-Randomized Trials in Sub-Saharan Africa Education," Evaluation Review, , vol. 40(6), pages 500-525, December.
    2. repec:gdk:wpaper:51 is not listed on IDEAS
    3. repec:pri:crcwel:wp11-12-ff is not listed on IDEAS
    4. Nianbo Dong & Wendy M. Reinke & Keith C. Herman & Catherine P. Bradshaw & Desiree W. Murray, 2016. "Meaningful Effect Sizes, Intraclass Correlations, and Proportions of Variance Explained by Covariates for Planning Two- and Three-Level Cluster Randomized Trials of Social and Behavioral Outcomes," Evaluation Review, , vol. 40(4), pages 334-377, August.
    5. Yang, Tingzhong & Barnett, Ross & Jiang, Shuhan & Yu, Lingwei & Xian, Hong & Ying, Jun & Zheng, Weijun, 2016. "Gender balance and its impact on male and female smoking rates in Chinese cities," Social Science & Medicine, Elsevier, vol. 154(C), pages 9-17.
    6. Marion Borderon & Patrick Sakdapolrak & Raya Muttarak & Endale Kebede & Raffaella Pagogna & Eva Sporer, 2019. "Migration influenced by environmental change in Africa: A systematic review of empirical evidence," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(18), pages 491-544.
    7. Dominic F. Gullo, 2015. "Multiple Dimensions of Biological Development: Implications for Kindergarten Readiness Among Young Children in Poverty," Journal of Social Science Studies, Macrothink Institute, vol. 2(1), pages 106-128, January.
    8. Daria Denti, 2022. "Looking ahead in anger: The effects of foreign migration on youth resentment in England," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 578-603, March.
    9. Daniel McNeish & Jeffrey R. Harring & Denis Dumas, 2023. "A multilevel structured latent curve model for disaggregating student and school contributions to learning," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 545-575, June.
    10. Amini, Chiara & Commander, Simon, 2012. "Educational scores: How does Russia fare?," Journal of Comparative Economics, Elsevier, vol. 40(3), pages 508-527.
    11. Jessica Harding & Tutrang Nguyen & Lizabeth Malone & Sally Atkins-Burnett & Louisa Tarullo & Nikki Aikens, "undated". "Measuring Head Start Children’s Early Learning Skills Using Teacher Reports During the COVID-19 Pandemic," Mathematica Policy Research Reports 622de3bc9edd4360a315005b2, Mathematica Policy Research.
    12. Patricia Dörr & Jan Pablo Burgard, 2019. "Data-driven transformations and survey-weighting for linear mixed models," Research Papers in Economics 2019-16, University of Trier, Department of Economics.
    13. Vicente, Iván & Pastor, José M. & Soler, Ángel, 2021. "Improving educational resilience in the OECD countries: Two convergent paths," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1149-1166.
    14. Laura M. Stapleton & Ji Seung Yang & Gregory R. Hancock, 2016. "Construct Meaning in Multilevel Settings," Journal of Educational and Behavioral Statistics, , vol. 41(5), pages 481-520, October.
    15. Joanna Taylor & Liz Twigg & John Mohan, 2015. "Understanding neighbourhood perceptions of alcohol-related anti-social behaviour," Urban Studies, Urban Studies Journal Limited, vol. 52(12), pages 2186-2202, September.
    16. Joseph L Dieleman & Tara Templin, 2014. "Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-17, October.
    17. Herzfeld, Thomas & Huffman, Sonya & Rizov, Marian, 2014. "The dynamics of food, alcohol and cigarette consumption in Russia during transition," Economics & Human Biology, Elsevier, vol. 13(C), pages 128-143.
    18. Simone, Rosaria & Tutz, Gerhard & Iannario, Maria, 2020. "Subjective heterogeneity in response attitude for multivariate ordinal outcomes," Econometrics and Statistics, Elsevier, vol. 14(C), pages 145-158.
    19. Chris Ryan, 2016. "Parental Investments and Child Development: Counting Games and Early Numeracy," Melbourne Institute Working Paper Series wp2016n34, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    20. repec:mpr:mprres:7730 is not listed on IDEAS
    21. Vinopal, Katie & Morrissey, Taryn W., 2020. "Neighborhood disadvantage and children’s cognitive skill trajectories," Children and Youth Services Review, Elsevier, vol. 116(C).
    22. Laura M. Stapleton & Yoonjeong Kang, 2018. "Design Effects of Multilevel Estimates From National Probability Samples," Sociological Methods & Research, , vol. 47(3), pages 430-457, August.
    23. Woojin Chung & Roeul Kim, 2020. "Which Occupation is Highly Associated with Cognitive Impairment? A Gender-Specific Longitudinal Study of Paid and Unpaid Occupations in South Korea," IJERPH, MDPI, vol. 17(21), pages 1-17, October.

    More about this item

    Keywords

    education; methodological development;

    Statistics

    Access and download statistics

    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:sae:evarev:v:40:y:2016:i:4:p:279-313. 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: SAGE Publications (email available below). General contact details of provider: .

    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.