Can non-randomized studies provide evidence of causal effects? A case study using the regression discontinuity design

Larry Vernon Hedges; Jennifer Hanis-Martin

doi:10.4324/9780203928684

Can non-randomized studies provide evidence of causal effects? A case study using the regression discontinuity design

Larry Vernon Hedges^*, Jennifer Hanis-Martin

^*Corresponding author for this work

Statistics and Data Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Original language	English (US)
Title of host publication	Education Research On Trial
Subtitle of host publication	Policy Reform and the Call for Scientific Rigor
Publisher	Routledge Taylor & Francis Group
Pages	105-124
Number of pages	20
ISBN (Print)	0203928687, 9780203928684
DOIs	https://doi.org/10.4324/9780203928684
State	Published - Nov 25 2008

ASJC Scopus subject areas

General Social Sciences

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10.4324/9780203928684

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Can non-randomized studies provide evidence of causal effects? A case study using the regression discontinuity design

ASJC Scopus subject areas

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