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Title: Corrections for Missingness in the NLSY: Longitudinal Patterns in the Mother-Child Files
Resulting in 1 citation.
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Davey, Adam Shanahan, Michael J. Schafer, Joseph L. |
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Corrections for Missingness in the NLSY: Longitudinal Patterns in the Mother-Child Files Presented: Ann Arbor, MI, Health and Retirement Study, Institute for Social Research, Conference on Data Quality Issues in Longitudinal Surveys, 1998 Cohort(s): Children of the NLSY79 Publisher: Institute for Social Research (ISR), University of Michigan Keyword(s): Attrition; Data Analysis; Data Quality/Consistency; Longitudinal Surveys; Modeling; Modeling, Growth Curve/Latent Trajectory Analysis; Nonresponse; Poverty; Psychological Effects Permission to reprint the abstract has not been received from the publisher. NOTE - See J. of Human Resources 2001 for published version. 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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Bibliography Citation
Davey, Adam, Michael J. Shanahan and Joseph L. Schafer. "Corrections for Missingness in the NLSY: Longitudinal Patterns in the Mother-Child Files." Presented: Ann Arbor, MI, Health and Retirement Study, Institute for Social Research, Conference on Data Quality Issues in Longitudinal Surveys, 1998. |