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سری‌های زمانی منقطع در پژوهش‌های آموزشی×روش تفاوت در تفاوت (Diff-in-Diff)×
حوزهاستنتاج علّیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش1979-20021994
پدیدآورShadish, Cook & Campbell (quasi-experimental design); Wagner et al. (segmented regression formalization)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
نوعQuasi-experimental causal inferenceCausal inference / panel regression
منبع بنیادینShadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
نام‌های دیگرITS in education, educational ITS, segmented regression in education, policy interrupted time seriesdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
مرتبط45
خلاصهInterrupted time series (ITS) analysis is a quasi-experimental design that estimates the causal effect of an education policy or intervention by examining whether an outcome trend changes abruptly at the point of implementation. Applied to education, it is used to evaluate reforms, curriculum changes, testing policies, and school interventions using routinely collected longitudinal data without a randomised control group.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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ScholarGateمقایسهٔ روش‌ها: Interrupted Time Series in Education Research · Difference-in-Differences. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare