Non-experimental quantitative methods

John Hutton and Peter Smith

in What works?

Published by Policy Press

Published in print July 2000 | ISBN: 9781861341914
Published online March 2012 | e-ISBN: 9781447304265 | DOI:
Non-experimental quantitative methods

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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

Chapter.  5018 words. 

Subjects: Social Research and Statistics

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