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What works?Evidence-based policy and practice in public services$
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Huw T.O. Davies, Sandra M. Nutley, and Peter C. Smith

Print publication date: 2000

Print ISBN-13: 9781861341914

Published to Policy Press Scholarship Online: March 2012

DOI: 10.1332/policypress/9781861341914.001.0001

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Non-experimental quantitative methods

Non-experimental quantitative methods

Chapter:
(p.276) (p.277) Thirteen Non-experimental quantitative methods
Source:
What works?
Author(s):

John Hutton

Peter Smith

Publisher:
Policy Press
DOI:10.1332/policypress/9781861341914.003.0013

For all the interest in experimentation, the majority of quantitative evidence used to form policy and practice takes the form of observational rather than experimental data. The volume of observational data now available is overwhelming, as the electronic capture of routine information becomes commonplace. Yet the use of such data gives rise to profound dangers of misinterpretation. This chapter explores the dangers associated with the analysis of non-experimental data, and describes the increasingly powerful tools used to handle such problems that are emerging from the discipline of econometrics.

Keywords:   econometrics, observational data, electronic capture, data misinterpretation, routine information, non-experimental data

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