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How Much Can We Trust Maternal Ratings of Early Child Development in Disadvantaged Samples?

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  • Malte Sandner
  • Tanja Jungmann

Abstract

An increasing number of panel studies use short screening questionnaires to assess infant development. Although some research examines the validity of screening questionnaires for middleclass families, knowledge about their accuracy in disadvantaged households is scarce. This paper validates a short screening questionnaire included in the German Socio-Economic Panel (SOEP) with the Bayley Scales for Infant Development (BSID) as an external criterion with a disadvantaged population. The results reveal significant correlations between the screening questionnaire ratings and the BSID scores for disadvantaged mothers. However, the concordance of maternal ratings and test results decreased in mothers with multiple risk burdens.

Suggested Citation

  • Malte Sandner & Tanja Jungmann, 2016. "How Much Can We Trust Maternal Ratings of Early Child Development in Disadvantaged Samples?," SOEPpapers on Multidisciplinary Panel Data Research 817, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp817
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    1. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
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    9. Sandner, Malte, 2013. "Effects of Early Childhood Intervention on Child Development and Early Skill Formation. Evidence from a Randomized Controlled Trial," Hannover Economic Papers (HEP) dp-518, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
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    Cited by:

    1. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    2. Christina Gathmann & Björn Sass, 2018. "Taxing Childcare: Effects on Childcare Choices, Family Labor Supply, and Children," Journal of Labor Economics, University of Chicago Press, vol. 36(3), pages 665-709.
    3. Thomas Cornelissen & Christian Dustmann & Anna Raute & Uta Schönberg, 2018. "Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendance," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2356-2409.
    4. Orla Doyle, 2017. "The First 2,000 Days and Child Skills: Evidence from a Randomized Experiment of Home Visiting," Working Papers 201715, School of Economics, University College Dublin.
    5. Katrin Huber, 2019. "Changes in parental leave and young children’s non-cognitive skills," Review of Economics of the Household, Springer, vol. 17(1), pages 89-119, March.
    6. Anna Busse & Christina Gathmann, 2018. "Free Daycare and Its Effects on Children and Their Families," SOEPpapers on Multidisciplinary Panel Data Research 958, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Busse, Anna & Gathmann, Christina, 2020. "Free daycare policies, family choices and child development," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 240-260.
    8. Camehl, Georg F. & Spiess, Christa Katharina & Hahlweg, Kurt, 2020. "The Effects of a Parenting Program on Maternal Well-Being: Evidence from a Randomized Controlled Trial," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Ahead of .
    9. Camehl Georg F. & Spiess Christa Katharina & Hahlweg Kurt, 2020. "The Effects of a Parenting Program on Maternal Well-Being: Evidence from a Randomized Controlled Trial," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(4), pages 1-26, October.
    10. Kajal Lahiri & Liu Yang, 2021. "Estimating Endogenous Ordered Response Panel Data Models with an Application to Income Gradient in Child Health," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 207-243, November.

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    More about this item

    Keywords

    Child Development; Validation of Survey Measures;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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