The US Panel Study of Income Dynamics (PSID) is the world’s longest-running longitudinal household panel study. It is used in the fields of demography, economics, sociology, public health, and public policy to investigate individual and family socioeconomic status, health, and well-being in longitudinal and intergenerational contexts. This workshop familiarizes new and prospective users with the design, content, and applications of the main PSID interview and two youth-centered supplements: The Child Development Supplement (CDS) and Transition into Adulthood Supplement (TAS). One segment of the workshop will introduce the available genomic data collected from CDS children age 0-17 years and their primary caregivers, as well as upcoming biomarker collections. The workshop also provides a hands-on introduction to data access, key data files, and user education resources.
Objectives
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Provide an overview of the genealogical, longitudinal design and content of PSID
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Describe the design and content of the PSID Child Development Supplement (CDS) and Transition into Adulthood Supplement (TAS)
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Introduce available genomic data from CDS children and their caregivers
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Interactively demonstrate how to access data, documentation, and tutorials through the publicly available online Data Center
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Interactively demonstrate data tools that allow users to connect individuals in PSID to their kin to support intergenerational and family-level analysis. Programs and data files will be available to workshop participants who register as PSID users.
Outcomes
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Understand the genealogical, longitudinal design that governs PSID’s sample following rules
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Understand structure of publicly available data files
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Be able to use data resources that identify and describe family relationships
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Know where to find learning resources to become more familiar with PSID
Presenters
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Noura Insolera, Ph.D., Research Investigator and Education and Outreach Lead, PSID
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Narayan Sastry, Ph.D., Co-Director, PSID
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Wei Zhao, Ph.D., Research Assistant Professor, Insitute for Social Research, University of Michigan