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Correcting for Selective Nonresponse in the National Longitudinal Survey of Youth Using Multiple Imputation

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  • Adam Davey
  • Michael J. Shanahan
  • Joseph L. Schafer
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    Abstract

    Survey attrition and nonresponse, particularly when selective, present unique challenges to researchers interested in studying developmental processes and longitudinal change. Four distinct patterns of nonresponse on children's psychosocial adjustment and lifetime poverty experiences and family histories are identified using principal components analysis. In turn, membership in these four groups is significantly predicted by the child's demographic characteristics, family experiences, and previous values on adjustment variables, indicating selective nonresponse and raising the possibility of biased estimates based on listwise deletion of missing data. We then examine a set of latent growth curve models that interrelate children's family experiences and psychosocial adjustment using listwise deletion (LD) and multiple imputation (MI) procedures. Implications for treatment of nonresponse in national longitudinal surveys are discussed.

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    Bibliographic Info

    Article provided by University of Wisconsin Press in its journal Journal of Human Resources.

    Volume (Year): 36 (2001)
    Issue (Month): 3 ()
    Pages: 500-519

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    Handle: RePEc:uwp:jhriss:v:36:y:2001:i:3:p:500-519

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    Web page: http://jhr.uwpress.org/

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    Cited by:
    1. Andrea Leiter & Gerald Pruckner, 2009. "Proportionality of Willingness to Pay to Small Changes in Risk: The Impact of Attitudinal Factors in Scope Tests," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(2), pages 169-186, February.
    2. Luis Ayala & Carolina Navarro & Mercedes Sastre, . "Cross-Country Income Mobility Comparisons Under Panel Attrition: The Relevance Of Weighting Schemes," Working Papers 19-06 Classification-JEL , Instituto de Estudios Fiscales.
    3. David A. Penn, 2005. "Determinants of Self-Reported Financial Security for Oklahoma County Households – An Application of Multiple Imputation," Working Papers 200504, Middle Tennessee State University, Department of Economics and Finance.
    4. Roe,Robert A., 2005. "Studying time in organizational behavior," Research Memorandum 048, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. David A. Penn, 2005. "Financial Well-Being in an Urban Setting: An Application of Multiple Imputation," Working Papers 200506, Middle Tennessee State University, Department of Economics and Finance.

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