เปรียบเทียบวิธี

	การทดลองสุ่มแบบกลุ่มในห้องปฏิบัติการ	การทดลองในห้องปฏิบัติการ
สาขาวิชา	การออกแบบการทดลอง	การออกแบบการทดลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1990s (formalized; cluster randomization principles developed in 1970s-1980s)	17th century (natural science); ~1879 onward (behavioral/social science)
ผู้ริเริ่ม	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)
ประเภท	Controlled laboratory experiment with cluster-level randomization	Experimental quantitative design
แหล่งต้นตำรับ	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
ชื่อเรียกอื่น	cluster-randomized lab experiment, group-randomized laboratory study, cluster RCT laboratory variant, clustered lab trial	lab experiment, controlled experiment, true experiment, lab study
ที่เกี่ยวข้อง	6	5
สรุป	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.