Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Interrupted Time Series i utdanningsforskning× | Differanse-i-differanser (DiD)× | |
|---|---|---|
| Fagfelt≠ | Kausal inferens | Økonometri |
| Familie | Regression model | Regression model |
| Opprinnelsesår≠ | 1979-2002 | 1994 |
| Opphavsperson≠ | Shadish, Cook & Campbell (quasi-experimental design); Wagner et al. (segmented regression formalization) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Type≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Opprinnelig kilde≠ | Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560 | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Alias≠ | ITS in education, educational ITS, segmented regression in education, policy interrupted time series | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Relaterte≠ | 4 | 5 |
| Sammendrag≠ | Interrupted 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. |
| ScholarGateDatasett ↗ |
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