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Pirms-pēctesta eksperimentālais dizains×Diferenču starpībām (Diff-in-Diff)×
NozareEksperimentu plānošanaEkonometrija
SaimeProcess / pipelineRegression model
Izcelsmes gads1963 (formalized in Campbell & Stanley)1994
AutorsDonald T. Campbell and Julian C. StanleyCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipsExperimental / quasi-experimental research designCausal inference / panel regression
PirmavotsCampbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Citi nosaukumipretest-posttest design, before-after design, pre-post design, two-wave experimental designdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Saistītās55
KopsavilkumsThe pretest-posttest experimental design measures participants on the outcome variable before and after treatment, typically with random assignment to treatment and control groups. The difference between pre- and post-scores isolates the treatment effect from baseline variation, making this one of the most widely used frameworks in experimental and quasi-experimental research across education, psychology, medicine, and the social sciences.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
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ScholarGateSalīdzināt metodes: Pretest-Posttest Experimental Design · Difference-in-Differences. Izgūts 2026-06-17 no https://scholargate.app/lv/compare