Salīdzināt metodes

	Pārtraukta laika sēriju analīze izglītības pētniecībā	Fiksēto efektu paneļa datu modelis
Nozare	Cēloņsakarību secināšana	Ekonometrija
Saime	Regression model	Regression model
Izcelsmes gads	1979-2002	2014
Autors	Shadish, Cook & Campbell (quasi-experimental design); Wagner et al. (segmented regression formalization)	Hsiao (textbook treatment); within transformation of panel data
Tips	Quasi-experimental causal inference	Panel data regression
Pirmavots	Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
Citi nosaukumi	ITS in education, educational ITS, segmented regression in education, policy interrupted time series	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Saistītās	4	5
Kopsavilkums	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.	The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).