เปรียบเทียบวิธี

	การออกแบบ ABAB เชิงปฏิบัติ	การวิเคราะห์อนุกรมเวลาแบบขัดจังหวะ (Interrupted Time Series - ITS)
สาขาวิชา	การออกแบบการทดลอง	การอนุมานเชิงสาเหตุ
ตระกูล	Process / pipeline	Regression model
ปีกำเนิด	1968 (classic ABAB); pragmatic adaptations formalised 1990s–2000s	2002
ผู้ริเริ่ม	Adapted from Baer, Wolf & Risley (1968); pragmatic variant developed in applied behavior analysis and clinical psychology literature	Wagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)
ประเภท	Single-case experimental design	Quasi-experimental segmented regression
แหล่งต้นตำรับ	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881	Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355.
ชื่อเรียกอื่น	pragmatic reversal design, pragmatic withdrawal design, applied ABAB design, pragmatic single-case reversal	ITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi
ที่เกี่ยวข้อง	2	5
สรุป	The pragmatic ABAB design is a single-case experimental design that adapts the classic reversal (ABAB) logic to real-world clinical and applied constraints. It alternates between a baseline phase (A) and an intervention phase (B) twice, demonstrating experimental control through repeated phase changes while allowing flexibility — such as abbreviated withdrawals or partial reversals — when full withdrawal of treatment is ethically or practically impossible.	Interrupted Time Series analysis is a quasi-experimental design that estimates the effect of a single, well-dated intervention by comparing the trajectory of an outcome before and after it occurs. Formalised as segmented regression by Wagner and colleagues (2002) and popularised as a public-health evaluation tutorial by Bernal, Cummins and Gasparrini (2017), it separates the intervention's impact into a change in level and a change in slope.