Charting the Impact of Federal Spending for Education Research

A Bibliometric Approach

Dados Bibliográficos

ID9732175
AutoresCarolina Milesi (NORC at the University of Chicago, Chicago, IL, autor correspondente), Kevin L Brown (0000-0002-5977-7370, NORC at the University of Chicago, Chicago, IL), Louise C Hawkley (0000-0001-7876-8560, University of Chicago), Louise Hawkley (NORC at the University of Chicago, Chicago, IL), Eric Dropkin (NORC at the University of Chicago, Chicago, IL), B Schneider (0000-0002-3233-166X, Michigan State University), Barbara L Schneider (Michigan State University, East Lansing, MI)
Ano2014
Volume43
Fascículo7
Páginas361-370
Data de publicação2014-10-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEducational Researcher (JOURNAL)
Identificadores do periódicoISSN: 0013-189X • E-ISSN: 1935-102X
EditoraAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0013189x14554002
OpenAlexW2170165709
IdiomaEN
Citações recebidas3
Referências citadas22

Impact evaluation plays a critical role in determining whether federally funded research programs in science, technology, engineering, and mathematics are wise investments. This paper develops quantitative methods for program evaluation and applies this approach to a flagship National Science Foundation–funded education research program, Research and Evaluation on Education in Science and Engineering (REESE). Results of three different bibliometric analyses all point to the same conclusion: REESE is an interdisciplinary research program that attracts highly productive investigators who exhibit an additional increase in their productivity rate as a result of receiving REESE funding. Limitations of the bibliometric approach are discussed, and directions are provided for the future of impact evaluations of research programs intended to serve the public good

Economic growth · Economics · Educational research · Foundation (evidence · Management science · Mathematics education · Point (geometry · Political science · Productivity · Program evaluation · Evaluation and Performance Assessment · Mathematics · Psychology · Public Administration · Research Data Management Practices · scientometrics and bibliometrics research