Regression-discontinuity analysis: An alternative to the ex post facto experiment.

Thistlethwaite, Donald L.; Campbell, Donald T.

doi:10.1037/h0044319

Cited by 1,469Advanced Causal Inference TechniquesEducational Research and MethodsSchool Choice and Performance

Regression-discontinuity analysis: An alternative to the ex post facto experiment.

Thistlethwaite, Donald L., Campbell, Donald T.·1960·Journal of Educational Psychology

DOI 10.1037/h0044319

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Abstract

This study presents a method of testing casual hypotheses, called regression-discontinuity analysis, in situations where the investigator is unable to randomly assign Ss to experimental and control groups. The Ss were selected from near winners--5126 students who received certificates of merit and 2

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A large family of efficacy and effectiveness designs now exists, including designs that randomize across persons, places, and time, and nonrandomized designs such as pre-post comparisons, regression discontinuity, time series, and multiple baseline comparisons.
“There is now a large family of designs for testing efficacy or effectiveness that randomize across persons, place, and time (or combinations of these) (15), as well as designs that do not use randomization, such as pre-post comparisons, regression discontinuity (106), time series and multiple baseline comparisons (5).”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [106]

Introduction to the Theory of Statistics.
Wolfowitz, J., & Mood, A. M. (1951) · American Mathematical Monthly · doi:10.2307/2307742 · Cited by 543 · see citing works
Introduction to the Theory of Statistics
Rutherford, R. S. G., & Mood, A. M. (1951) · The Australian Quarterly · doi:10.2307/20633337 · Cited by 297 · see citing works
Regression Fallacies in the Matched Groups Experiment
Thorndike, R. L. (1942) · Psychometrika · doi:10.1007/bf02288069 · Cited by 93 · see citing works
Statistical Inference.
Wilkins, L. T., Walker, H. M., & Lev, J. (1954) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2985384 · Cited by 69 · see citing works
Experimental Sociology: A Study in Method.
Kendall, P. L., & Greenwood, E. (1945) · American Sociological Review · doi:10.2307/2085603 · Cited by 50 · see citing works
Design for Social Experiments
Chapin, F. S. (1938) · American Sociological Review · doi:10.2307/2084712 · Cited by 21 · see citing works
Experimental Sociology; A Study in Method
Brighouse, G., & Greenwood, E. (1946) · The American Journal of Psychology · doi:10.2307/1416902 · Cited by 19 · see citing works
Effects of social recognition upon the educational motivation of talented youth.
Thistlethwaite, D. L. (1959) · Journal of Educational Psychology · doi:10.1037/h0042153 · Cited by 12 · see citing works
Self-citation
Recognition of Excellence
Manella, F. L. (1960) · The American Catholic Sociological Review · doi:10.2307/3708624 · Cited by 5 · see citing works

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Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010) · The Leadership Quarterly · doi:10.1016/j.leaqua.2010.10.010 · Cited by 2,441 · see citing works
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Cook, T. D. (2007) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.002 · Cited by 303 · see citing works
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Battistin, E., Brugiavini, A., Rettore, E., & Weber, G. (2009) · American Economic Review · doi:10.1257/aer.99.5.2209 · Cited by 300 · see citing works
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Bor, J., Moscoe, E., Mutevedzi, P., Newell, M.-L., & Bärnighausen, T. (2014) · Epidemiology · doi:10.1097/ede.0000000000000138 · Cited by 291 · see citing works
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Kohavi, R., Tang, D., & Xu, Y. (2020) · doi:10.1017/9781108653985 · Cited by 297 · see citing works
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Porter, J. (2003) · Cited by 285 · see citing works
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Wooldridge, J. M., & Imbens, G. W. (2008) · doi:10.1920/wp.cem.2008.2408 · Cited by 323 · see citing works
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Albouy, V., & Lequien, L. (2008) · Journal of Health Economics · doi:10.1016/j.jhealeco.2008.09.003 · Cited by 261 · see citing works
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Krishnan, K., Nandy, D. K., & Puri, M. (2014) · Review of Financial Studies · doi:10.1093/rfs/hhu087 · Cited by 256 · see citing works
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Goes, P. B., Guo, C., & Lin, M. (2016) · Information Systems Research · doi:10.1287/isre.2016.0635 · Cited by 245 · see citing works
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van der Klaauw, W. (2008) · Labour · doi:10.1111/j.1467-9914.2008.00419.x · Cited by 242 · see citing works
A quasi-experimental approach to assessing treatment effects in the nonequivalent control group design.
Kenny, D. A. (1975) · Psychological Bulletin · doi:10.1037/0033-2909.82.3.345 · Cited by 241 · see citing works
Building Programme Evaluation into the Design of Public Research-Support Programmes
Jaffe, A. B. (2002) · Oxford Review of Economic Policy · doi:10.1093/oxrep/18.1.22 · Cited by 242 · see citing works
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Approaches to mixed methods dissemination and implementation research: methods, strengths, caveats, and opportunities
Green, C. A., Duan, N., Gibbons, R. D., Hoagwood, K. E., Palinkas, L. A., & Wisdom, J. P. (2015) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-014-0552-6 · Cited by 205 · see citing works
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Berger, J. A., & Pope, D. G. (2011) · Management Science · doi:10.1287/mnsc.1110.1328 · Cited by 213 · see citing works
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Kelava, A., Rohrmann, S., & Hodapp, V. (2010) · Elsevier eBooks · doi:10.1016/b978-0-08-044894-7.01696-1
Challenges When Using the Regression Discontinuity Design in Educational Evaluations: Lessons from the Transition to Algebra Study.
Louie, J., Rhoads, C. H., & Mark, J. (2014) · Society for Research on Educational Effectiveness

Authors: Thistlethwaite, D. L., & Campbell, D. T.
Affiliations: Northwestern University (US)
Venue: Journal of Educational Psychology
Publisher: American Psychological Association (APA)
Published: 1960-12
Volume: 51
Issue: 6
Pages: 309-317
ISSN: 0022-0663 (ISSN-L)
1939-2176
DOI: 10.1037/h0044319
OpenAlex: W2141019942
Cited by: 1,469
References: 9
Citations by year: 2026: 44 · 2025: 59 · 2024: 86 · 2023: 65 · 2022: 104 · 2021: 100 · 2020: 137 · 2019: 85 · 2018: 72 · 2017: 82 · 2016: 75 · 2015: 84 · 2014: 85 · 2013: 56 · 2012: 52
FWCI: 1.55
Type: journal article
Language: en
Open access: closed
Locations: Journal of Educational Psychology (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Social Sciences › Education › Educational Research and Methods
Social Sciences › Education › School Choice and Performance
Keywords: causal inference, non-random assignment, academic performance

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Regression-discontinuity analysis: An alternative to the ex post facto experiment.

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