Sammenlign metoder

	Crossover Felt-eksperiment	Felt-eksperiment
Fagområde	Forsøgsdesign	Forsøgsdesign
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1960s–1970s (field experiment framework); crossover application in non-clinical fields from 1980s onward	1920s–1930s (agriculture); 1990s–2000s (social sciences)
Ophavsperson	Crossover design principles attributed to R. A. Fisher (1930s); field experiment tradition developed by Donald T. Campbell and Julian Stanley (1960s)	Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004)
Type	Within-subject experimental design conducted in naturalistic settings	Experimental design
Oprindelig kilde	Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). John Wiley & Sons. ISBN: 978-0471496533	Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055.
Aliasser	within-subject field experiment, crossover field trial, repeated-measures field experiment, field crossover design	field trial, natural field experiment, randomized field experiment, field RCT
Relaterede	5	5
Resumé	A crossover field experiment is a within-subject experimental design conducted outside the laboratory in naturalistic, real-world settings. Each participant or unit receives multiple treatments in a randomized sequence, separated by washout periods, allowing researchers to observe causal effects while each unit serves as its own control. This approach combines the internal validity of crossover designs with the ecological validity characteristic of field experimentation.	A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research.