Quasi-Experimentation¶
Cook, T. D., & Campbell, D. T. (1979). Quasi-Experimentation: Design and Analysis Issues for Field Settings.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Regression to the Mean
- T2 — Name: Prevention Through Design versus Correction Through Analysis. The most reliable way to address RTM is design-based: randomized controlled trials with equivalent selection in both arms; regression-discontinuity designs with cutoff-based assignment; crossover designs with within-subject comparisons
This sourceHoughton Mifflin. regression-discontinuity and quasi-experimental defense against RTM.
- T2 — Name: Prevention Through Design versus Correction Through Analysis. The most reliable way to address RTM is design-based: randomized controlled trials with equivalent selection in both arms; regression-discontinuity designs with cutoff-based assignment; crossover designs with within-subject comparisons
Domain-specific¶
- External Validity
- It is one of four analytically separable validity facets in Cook and Campbell's framework (alongside statistical-conclusion validity, internal validity, and construct validity) and is logically independent of the others: a study can be internally valid — its in-sample causal estimate unconfounded and precise — while externally invalid because the sample, setting, or treatment version is unrepresentative of any target to which an analyst wishes to apply the result
This sourceOrigin of the four-facet validity typology - statistical-conclusion, internal, construct and external validity - and of the claim that the facets are analytically separable.
- It is one of four analytically separable validity facets in Cook and Campbell's framework (alongside statistical-conclusion validity, internal validity, and construct validity) and is logically independent of the others: a study can be internally valid — its in-sample causal estimate unconfounded and precise — while externally invalid because the sample, setting, or treatment version is unrepresentative of any target to which an analyst wishes to apply the result
Verification¶
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