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Author: Li, Chengchang
Resulting in 2 citations.
1. Rodgers, Joseph Lee
Beasley, William H.
Bard, David E.
Meredith, Kelly M.
Hunter, Michael D.
Johnson, Amber
Buster, Maury Allen
Li, Chengchang
The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research
Behavior Genetics 46,4 (July 2016): 538-551.
Also: http://link.springer.com/article/10.1007/s10519-016-9785-3
Cohort(s): Children of the NLSY79, NLSY79
Publisher: Behavior Genetics Association
Keyword(s): Body Mass Index (BMI); Data Quality/Consistency; Genetics; Height; Intergenerational Patterns/Transmission; Kinship; Modeling, Multilevel; Siblings; Weight

Permission to reprint the abstract has not been received from the publisher.

The National Longitudinal Survey of Youth datasets (NLSY79; NLSY-Children/Young Adults; NLSY97) have extensive family pedigree information contained within them. These data sources are based on probability sampling, a longitudinal design, and a cross-generational and within-family data structure, with hundreds of phenotypes relevant to behavior genetic (BG) researchers, as well as to other developmental and family researchers. These datasets provide a unique and powerful source of information for BG researchers. But much of the information required for biometrical modeling has been hidden, and has required substantial programming effort to uncover--until recently. Our research team has spent over 20 years developing kinship links to genetically inform biometrical modeling. In the most recent release of kinship links from two of the NLSY datasets, the direct kinship indicators included in the 2006 surveys allowed successful and unambiguous linking of over 94 % of the potential pairs. In this paper, we provide details for research teams interested in using the NLSY data portfolio to conduct BG (and other family-oriented) research.
Bibliography Citation
Rodgers, Joseph Lee, William H. Beasley, David E. Bard, Kelly M. Meredith, Michael D. Hunter, Amber Johnson, Maury Allen Buster and Chengchang Li. "The NLSY Kinship Links: Using the NLSY79 and NLSY-Children Data to Conduct Genetically-Informed and Family-Oriented Research." Behavior Genetics 46,4 (July 2016): 538-551.
2. Rodgers, Joseph Lee
Rowe, David C.
Li, Chengchang
Beyond Nature Versus Nurture: DF Analysis of Nonshared Influences on Problem Behaviors
Developmental Psychology 30,3 (May 1994):374-384.
Also: http://psycnet.apa.org/journals/dev/30/3/374/
Cohort(s): Children of the NLSY79, NLSY79
Publisher: American Psychological Association (APA)
Keyword(s): Behavior Problems Index (BPI); Childbearing; Height, Height-Weight Ratios; Home Observation for Measurement of Environment (HOME); I.Q.; Kinship; Siblings

DeFries and Fulker (1985) proposed a regression modeling approach -- since named DF Analysis -- that separates heredity and common environmental influences using scores from kinship pairs. A number of adaptations have been developed and used in empirical research that demonstrate the breadth of application of DF Analysis. We begin by reviewing past work and the several DF Analysis extensions that have been suggested. Following, we describe a new extension of DF Analysis in which measured indicators of the nonshared environment are added to the model. These indicators represent specific sources of environmental influence that cause related children to be different from one another. We present two empirical studies using over 7000 5-11 year-old children from the National Longitudinal Survey of Youth (NLSY). Within the NLSY we identify twin, full-sibling, half-sibling, and cousin pairs. The first study is a validity analysis of kinship height and weight data. The second study demonstrates the nonshared environmental extension through an analysis of problem behavior scores. Specific nonshared environmental influences that are investigated are spanking by the mother, reading by the mother, and quality of the home environment.
Bibliography Citation
Rodgers, Joseph Lee, David C. Rowe and Chengchang Li. "Beyond Nature Versus Nurture: DF Analysis of Nonshared Influences on Problem Behaviors." Developmental Psychology 30,3 (May 1994):374-384.