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Source: Conference on Data Quality Issues in Longitudinal Surveys, 1998

Resulting in 3 citations.

1.	Davey, Adam Shanahan, Michael J. Schafer, Joseph L.
1.	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
	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.

2.	Fendrich, Michael
2.	Longitudinal Analysis of Retest Artifact in NLSY Drug Use Reporting Presented: Ann Arbor, MI, Health and Retirement Study, Institute for Social Research, Conference on Data Quality Issues in Longitudinal Surveys, 1998. Also: http://www.ssc.wisc.edu/cde/faculty/cv-fendrich.pdf Cohort(s): NLSY79 Publisher: Institute for Social Research (ISR), University of Michigan Keyword(s): Interviewer Characteristics; Interviewing Method; Longitudinal Data Sets; Longitudinal Surveys; Marital Status; Racial Differences; Self-Reporting; Social Environment; Substance Use Permission to reprint the abstract has not been received from the publisher. We examined three follow-up waves of data in order to estimate the prevalence and explore the correlates of retest artifact (denial) of drug use among NLSY respondents who disclosed lifetime cocaine and marijuana use in 1984. In the cocaine use cohort, 42% denied lifetime drug use during at least one follow-up wave. In the marijuana use cohort, about 29% denied lifetime drug use during at least one follow-up wave. (mixed model) and cross sectional logistic regression models were estimated to evaluate the correlates of this phenomenon. Although we hypothesized linear time effects, we found that denial either leveled off (cocaine) or diminished (marijuana) between the second and third interviews. Longitudinal models suggested that individuals were fairly consistent with respect to disclosure propensities. The most consistent predictors of denial in both longitudinal and cross sectional models and across substances were race and marital status. Other predictors of denial included interviewer characteristics (social attribution), interview mode, and drug salience. Interpretation of findings with respect to time are made in light of recent shifts in drug disclosure norms. Implications for theories of survey reporting, for research design, and for the interpretation and analysis of longitudinal drug use data are also discussed.
	Bibliography Citation Fendrich, Michael. "Longitudinal Analysis of Retest Artifact in NLSY Drug Use Reporting." Presented: Ann Arbor, MI, Health and Retirement Study, Institute for Social Research, Conference on Data Quality Issues in Longitudinal Surveys, 1998.

3.	Moore, Kristin Anderson Mariner, Carrie L. Halle, Tamara G.
3.	Scaling Back Survey Scales: How Short is too Short? Presented: Ann Arbor, MI, Health and Retirement Study, Institute for Social Research, Conference on Data Quality Issues in Longitudinal Surveys, October 1998 Cohort(s): Children of the NLSY79, NLSY79 Publisher: Institute for Social Research (ISR), University of Michigan Keyword(s): Attrition; Behavior Problems Index (BPI); Child Development; Data Quality/Consistency; Family Environment; Genetics; Home Observation for Measurement of Environment (HOME); Longitudinal Data Sets; Longitudinal Surveys; Marital Conflict; Marital Instability; Parent-Child Relationship/Closeness; Peabody Individual Achievement Test (PIAT- Reading); Peers/Peer influence/Peer relations; Research Methodology; Scale Construction; Test Scores/Test theory/IRT Permission to reprint the abstract has not been received from the publisher. Evolving research and theory indicate that the factors that affect child development are varied, and arise from multiple domains, including the family, the neighborhood, the school, and the peer group, in addition to genetic and physiological factors (Bronfenbrenner, 1977, 1979, 1986, 1989; Bronfenbrenner & Ceci, 1994). Even within a single domain -- the family-numerous processes have been posited and suggested to affect children's development in very different ways, some positive and some negative. For example, Day, Gavazzi, and Acock (1997) recommend multiple measures of family process constructs for inclusion in surveys, ranging from the intensity and frequency of marital conflict, to the use and creation of rituals. Similarly, Thornton (1998), summarizing the work of the NICHD Family and Child Well-being Research Network, lists dozens of candidate constructs for inclusion in studies of children and families. Collecting information on the varied factors that might potentially affe ct children's development places extraordinary data collection demands on a study. The respondent burden can become quite high, as data collection efforts can take an hour or more or even several hours. Repeated visits may be necessary at a single data collection point. Moreover, given a general consensus that longitudinal data are necessary in order to begin to address causal processes, there is a need to engage in these lengthy data collection efforts year after year. Thus, in addition to concerns about respondent burden, concerns must be addressed about the cumulative implications of very lengthy data collection studies on attrition, break-offs and respondent cooperation.
	Bibliography Citation Moore, Kristin Anderson, Carrie L. Mariner and Tamara G. Halle. "Scaling Back Survey Scales: How Short is too Short?" Presented: Ann Arbor, MI, Health and Retirement Study, Institute for Social Research, Conference on Data Quality Issues in Longitudinal Surveys, October 1998.

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