Joe Rodgers

Professor, Director of Quantitative Methods

Department of Psychology and Human Development, Vanderbilt University

NLS user since 1985

  • Rodgers, J. L., Van Hulle, C., D’Onofrio, B., Rathouz, P., Beasley, W., Johnson, A., Waldman, I., Lahey, B. B. (2015). Behavior Problems and Timing of Menarche: A Developmental Longitudinal Biometrical Analysis Using the NLSY-Children Data. Behavior Genetics, 45, 51-70.
  • Rodgers, J. L., Bard, D., Johnson, A., D’Onofrio, B., & Miller, W. B. (2008). The Cross-Generational Mother-Daughter-Aunt-Niece Design: Establishing Validity of the MDAN Design with NLSY Fertility Variables. Behavior Genetics, 38, 567-578.
  • Rodgers, J. L. & Wanstrom, L. (2007). Identification of a Flynn Effect in the NLSY: Moving from the Center to the Boundaries. Intelligence. 35, 187-196.
  • Rodgers, J. L., Cleveland, H. H., van den Oord, E., & Rowe, D. C. (2000). Resolving the debate over birth order, family size, and intelligence. American Psychologist, 55, 599-612.
  • Rodgers, J. L., Rowe, D. C., & Buster, M. (1999). Nature, nurture, and first sexual intercourse in the USA: Fitting behavioural genetic models to NLSY kinship data. Journal of Biosocial Sciences, 31.
  • Rodgers, J. L., Rowe, D. C., & May, K. (1994). DF analysis of NLSY IQ/achievement data: Nonshared environmental influences. Intelligence, 19, 157-177.
Why I chose NLS data

It is longitudinal. It contains within-family data. It is multi-generational. It originated as a probability sample. It has thousands of outcomes.