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Regression-discontinuity analysis: An alternative to the ex post facto experiment.
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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“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]
Citations
Cites
Introduction to the Theory of Statistics.
Wolfowitz, J., & Mood, A. M. (1951) · American Mathematical Monthly · doi:10.2307/2307742 · Cited by 543
Introduction to the Theory of Statistics
Rutherford, R. S. G., & Mood, A. M. (1951) · The Australian Quarterly · doi:10.2307/20633337 · Cited by 297
Regression Fallacies in the Matched Groups Experiment
Thorndike, R. L. (1942) · Psychometrika · doi:10.1007/bf02288069 · Cited by 93
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
Experimental Sociology: A Study in Method.
Kendall, P. L., & Greenwood, E. (1945) · American Sociological Review · doi:10.2307/2085603 · Cited by 50
Chapin, F. S. (1938) · American Sociological Review · doi:10.2307/2084712 · Cited by 21
Experimental Sociology; A Study in Method
Brighouse, G., & Greenwood, E. (1946) · The American Journal of Psychology · doi:10.2307/1416902 · Cited by 19
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
Self-citationManella, F. L. (1960) · The American Catholic Sociological Review · doi:10.2307/3708624 · Cited by 5
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Stevens, J., PRATT, C. A., Boyington, J., Nelson, C. R., Truesdale, K. P., Ward, D. S., Lytle, L. A., Sherwood, N. E., Robinson, T. N., Moore, S. M., et al. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.09.011 · Cited by 74
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Metadata
- Authors
- Thistlethwaite, D. L., & Campbell, D. T.
- Affiliations
- Northwestern University (US)
- Venue
- Journal of Educational Psychology
- Published
- 1960-12
- Volume
- 51
- Issue
- 6
- Pages
- 309-317
- ISSN
- 0022-0663 (ISSN-L)
- 1939-2176
- 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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