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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Muundo wa Kisaikolojia wa Majaribio ya Kisaikolojia×Muundo wa Majaribio wa Msamabaaji wa Kesi Moja×
NyanjaMuundo wa MajaribioMuundo wa Majaribio
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili1970s–1980s1970s–1980s (single-case crossover formalized in behavioral research context)
MwanzilishiApplied behavior analysis tradition; systematized in Barlow & Hersen (1984) and Kazdin (1982)Developed within the single-case research tradition; crossover application formalized by Barlow and Hersen and expanded by Kazdin
AinaExperimental single-subject design with multiple independent variablesExperimental single-subject design
Chanzo asiliaKazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881
Majina mbadalafactorial SCED, factorial single-case design, factorial N-of-1 design, factorial within-subject experimental designcrossover SSED, alternating-treatments crossover design, single-case crossover design, N-of-1 crossover design
Zinazohusiana64
MuhtasariA factorial single-subject experimental design applies the logic of factorial experiments — manipulating two or more independent variables simultaneously to study main effects and interactions — within a single-subject (N=1 or small N) repeated-measures framework. Instead of comparing groups, the same individual serves as their own control across systematically varied conditions, enabling fine-grained analysis of how multiple treatment components combine to influence behavior or clinical outcomes.The crossover single-subject experimental design (crossover SSED) applies two or more treatment conditions sequentially to the same individual, with a washout or return-to-baseline period between conditions. Because each participant serves as their own control, between-subject variability is eliminated, enabling precise causal inference about treatment effects even with very small samples — often a single participant. This design is widely used in applied behavior analysis, special education, rehabilitation, and clinical psychology.
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ScholarGateLinganisha mbinu: Factorial Single-Subject Experimental Design · Crossover Single-Subject Experimental Design. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare