The Promise and Limitations of Synthetic Data as a Strategy to Expand Access to State-Level Multi-Agency Longitudinal Data-Reference-Cited by-同舟云学术

The Promise and Limitations of Synthetic Data as a Strategy to Expand Access to State-Level Multi-Agency Longitudinal Data

Published:2019-08-02 Issue:4 Volume:12 Page:616-647
ISSN:1934-5747
Container-title:Journal of Research on Educational Effectiveness
language:en
Short-container-title:Journal of Research on Educational Effectiveness

Author:

Bonnéry Daniel¹,Feng Yi²^ORCID,Henneberger Angela K.³^ORCID,Johnson Tessa L.²,Lachowicz Mark²^ORCID,Rose Bess A.³^ORCID,Shaw Terry³^ORCID,Stapleton Laura M.²^ORCID,Woolley Michael E.³^ORCID,Zheng Yating²^ORCID

Affiliation:

1. Joint Program of Survey Methodology, University of Maryland, College Park, Maryland, USA;

2. Department of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, USA;

3. School of Social Work, University of Maryland, Baltimore, Maryland, USA.

Publisher

Informa UK Limited

Subject

Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/19345747.2019.1631421

Reference55 articles.

1. New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers

2. Abowd, J. M., Stinson, M. & Benedetto, G. (2006).Final report to the Social Security Administration on the SIPP/SSA/IRS public use file project. Technical report, U.S. Census Bureau Longitudinal Employer-Household Dynamics Program. Retrieved from https://ecommons.cornell.edu/handle/1813/43929

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