विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| प्रैग्मैटिक ABAB डिज़ाइन× | रुकावट वाली समय श्रृंखला (ITS) विश्लेषण× | |
|---|---|---|
| क्षेत्र≠ | प्रयोगात्मक अभिकल्प | कारणात्मक अनुमान |
| परिवार≠ | Process / pipeline | Regression model |
| उद्भव वर्ष≠ | 1968 (classic ABAB); pragmatic adaptations formalised 1990s–2000s | 2002 |
| प्रवर्तक≠ | 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) |
| प्रकार≠ | Single-case experimental design | Quasi-experimental segmented regression |
| मौलिक स्रोत≠ | 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. DOI ↗ |
| उपनाम≠ | 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 |
| संबंधित≠ | 2 | 5 |
| सारांश≠ | 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. |
| ScholarGateडेटासेट ↗ |
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