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Creating a retrospective cohort through data linkage : opportunities and pitfalls for assessing early life predictors of first grade academic outcomes among Georgia public school children / Jennifer L. Richards, Michael R. Kramer.

SAGE Research Methods Cases Part II Available online

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Format:
Book
Author/Creator:
Richards, Jennifer L., author.
Kramer, Michael R., author.
Series:
SAGE Research Methods. Cases.
SAGE Research Methods. Cases
Language:
English
Subjects (All):
School children--Georgia--Research--Case studies.
School children.
Linked data--Case studies.
Linked data.
Physical Description:
1 online resource : illustrations.
Place of Publication:
London : SAGE Publications Ltd, 2017.
Summary:
Collecting the perfect data to answer a research question is optimal but not always feasible. Sometimes existing data can be leveraged to answer some questions, but this opportunity comes with important potential pitfalls. To test the effect of early life exposures such as being born preterm or living in a materially deprived neighborhood on early childhood academic performance, we create a longitudinal cohort by deterministically linking all singleton live births to Georgia-resident women over a 5-year period to the children's subsequent performance on first grade Georgia standardized tests. In this case study, we cover the basic features of epidemiologic cohort studies, construction of the linked dataset for our study, and assessment of linkage quality and potential for bias.
Notes:
Includes bibliographical references and index.
Description based on XML content.
ISBN:
9781526419675 (ebook) :
9781526419675
OCLC:
984402517

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