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Public Use Source Code: Creating the Integrated Dataset

Summary

We provide here open-source codes for users to create the dataset that combines data from four individual population-based longitudinal surveys. This resource enables new analytic and modeling approaches for integrated data analysis (IDA) (Curran & Hussong, 2009) across a variety of outcomes, and is meant to support data sharing and help build a more cumulative science.

Key publications utilizing this dataset include Yang et al. (2021) and Yang et al. (2023).

How to create and use the integrated dataset

1. Access and download raw data files from source datasets

2. Download public use source code file and user guide document and follow outlined instructions

3. Include the following acknowledgment in any research reports, papers, or publications that used this dataset: “Funding support comes from National Institute on Aging grant R01AG057800 (PI: Yang C Yang), National Institute of Child Health and Human Development grant 2P01HD031921 (PI: Harris), and Carolina Population Center grant P2C HD050924 (PI: Guzzo).”

Code and Documentation Files

Contact

PI: Y. Claire Yang

CPC Personnel: Brian Frizzelle, Melody Kramer

References

  • Curran, P. J., & Hussong, A. M. (2009). Integrative data analysis: the simultaneous analysis of multiple data sets. Psychological methods, 14(2), 81.
  • Yang, Y. C., Walsh, C. E., Johnson, M. P., Belsky, D. W., Reason, M., Curran, P., Aiello, A.E., Chanti-Ketterl, M. & Harris, K. M. (2021). Life-course trajectories of body mass index from adolescence to old age: Racial and educational disparities. Proceedings of the National Academy of Sciences, 118(17), e2020167118.
  • Yang, Y. C., Walsh, C. E., Shartle, K., Stebbins, R. C., Aiello, A. E., Belsky, D. W., Harris, K. M., Chanti-Ketterl, M., & Plassman, B. L. (2023). An early and unequal decline: life course trajectories of cognitive aging in the United States.” Journal of Aging and Health: DOI:10.1177/08982643231184593 ID: JAH-23-279.R2.