Use of Administrative Records in Evidence-Based Policymaking

AuthorRobert M. Groves,George J. Schoeffel
DOI10.1177/0002716218766508
Published date01 July 2018
Date01 July 2018
Subject MatterMajor Elements of the Evidence-Based Movement
ANNALS, AAPSS, 678, July 2018 71
DOI: 10.1177/0002716218766508
Use of
Administrative
Records in
Evidence-Based
Policymaking
By
ROBERT M. GROVES
and
GEORGE J. SCHOEFFEL
766508ANN THE ANNALS OF THE AMERICAN ACADEMYADMINISTRATIVE RECORDS IN EVIDENCE-BASED POLICYMAKING
research-article2018
Record systems used to administer programs often
contain information useful for evaluating the effective-
ness of a program. Administrative records are most
often designed to facilitate processes key to the mission
of the program. Data structures, quality assurance,
quality control, and updating processes are generally
defined by the needs of the program. Statistical uses of
administrative data, common to evaluation studies, face
a predictable set of benefits and challenges. This article
reviews these issues.
Keywords: administrative data; privacy; data quality;
access; data
Evidence-based policymaking or adminis-
tration generally requires formal evalua-
tion of the design, execution, and outcomes of
a given organization’s activities. Over time,
leaders of organizations assess the good and
bad features of their work, and customers are
asked whether the organization’s product or
service was useful to them. The “evidence” for
evaluations can come from many sources. In
the commercial sector, the measurement of
production processes, service provision, and
consumer proclivities have inspired continuous
improvement feedback loops between the
designers of products and services and consum-
ers in an attempt to optimize outcomes.1
Correspondence: bgroves@georgetown.edu
Robert M. Groves, Gerard Campbell SJ Professor in the
Departments of Mathematics and Statistics and the
Department of Sociology, is the provost of Georgetown
University. His research has focused on influences on
survey participation, the use of adaptive research
designs to improve statistics, and privacy-related con-
cerns affecting statistical agencies.
George J. Schoeffel is a researcher for the Committee on
National Statistics at the National Academies of Science.
His current research focuses on combining multiple
data sources for better public policy.

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