So sánh phương pháp

	Thiết kế thực nghiệm đơn đối tượng theo hệ số	Thiết kế thực nghiệm đối tượng đơn chéo nhau
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1970s–1980s	1970s–1980s (single-case crossover formalized in behavioral research context)
Người khởi xướng	Applied 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
Loại	Experimental single-subject design with multiple independent variables	Experimental single-subject design
Công trình gốc	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881	Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881
Tên gọi khác	factorial SCED, factorial single-case design, factorial N-of-1 design, factorial within-subject experimental design	crossover SSED, alternating-treatments crossover design, single-case crossover design, N-of-1 crossover design
Liên quan	6	4
Tóm tắt	A 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.