Methoden vergleichen

	Cluster-randomisiertes Laborexperiment	Faktorielles Laborexperiment
Fachgebiet	Versuchsplanung	Versuchsplanung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1990s (formalized; cluster randomization principles developed in 1970s-1980s)	1926 (Fisher's factorial principle); laboratory application systematized mid-20th century
Urheber	David M. Murray (group-randomized trial methodology); built on classical cluster sampling in experimental design	Ronald A. Fisher
Typ	Controlled laboratory experiment with cluster-level randomization	Experimental research design
Wegweisende Quelle	Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120363	Kirk, R. E. (2013). Experimental Design: Procedures for the Behavioral Sciences (4th ed.). Sage Publications. ISBN: 978-1412974455
Aliasnamen	cluster-randomized lab experiment, group-randomized laboratory study, cluster RCT laboratory variant, clustered lab trial	factorial lab experiment, laboratory factorial design, factorial controlled experiment, multi-factor lab study
Verwandt	6	2
Zusammenfassung	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 factorial laboratory experiment is a controlled experimental design in which two or more independent variables (factors) are simultaneously manipulated, each at two or more levels, within a laboratory setting. This design allows researchers to estimate both the individual main effect of each factor and the interaction effects between factors — making it one of the most efficient and informative designs in behavioral, psychological, and natural science research.