So sánh phương pháp

	Thử nghiệm ngẫu nhiên hóa theo cụm trong phòng thí nghiệm	Thiết kế Thí nghiệm
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1990s (formalized; cluster randomization principles developed in 1970s-1980s)	17th century (natural science); ~1879 onward (behavioral/social science)
Người khởi xướng	David M. Murray (group-randomized trial methodology); built on classical cluster sampling in experimental design	Francis Bacon, Robert Boyle (early scientific method); formalized in social science by Wilhelm Wundt (1879 psychology lab) and Ronald A. Fisher (20th-century design principles)
Loại	Controlled laboratory experiment with cluster-level randomization	Experimental quantitative design
Công trình gốc	Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120363	Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560
Tên gọi khác	cluster-randomized lab experiment, group-randomized laboratory study, cluster RCT laboratory variant, clustered lab trial	lab experiment, controlled experiment, true experiment, lab study
Liên quan	6	5
Tóm tắt	A cluster randomized laboratory experiment assigns intact groups — such as lab sections, cohorts, or naturally formed teams — rather than individual participants, to experimental conditions. All participants within a cluster receive the same treatment. The design is used when individual randomization would cause contamination between conditions, while retaining the controlled environment of a laboratory setting.	A laboratory experiment is a research design in which the investigator systematically manipulates one or more independent variables under tightly controlled conditions, randomly assigns participants to conditions, and measures the effect on dependent variables. By maximizing internal control, the laboratory experiment is the gold standard for establishing cause-and-effect relationships. It is the backbone of experimental psychology, cognitive science, pharmacology, and many social sciences.