Сравнение на методи

	Експеримент с кръстосан дизайн в реални условия	Факторен полеви експеримент
Област	Планиране на експеримента	Планиране на експеримента
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1960s–1970s (field experiment framework); crossover application in non-clinical fields from 1980s onward	1920s–1935 (Fisher's foundational work); widely applied through 20th century
Създател	Crossover design principles attributed to R. A. Fisher (1930s); field experiment tradition developed by Donald T. Campbell and Julian Stanley (1960s)	Ronald A. Fisher (factorial principle); extended to field settings in agricultural and social sciences
Тип	Within-subject experimental design conducted in naturalistic settings	Experimental design
Основополагащ източник	Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). John Wiley & Sons. ISBN: 978-0471496533	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Други названия	within-subject field experiment, crossover field trial, repeated-measures field experiment, field crossover design	factorial design in the field, field factorial design, multi-factor field trial, factorial field trial
Свързани	5	5
Резюме	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 factorial field experiment applies factorial experimental design — simultaneously manipulating two or more independent factors across all combinations of their levels — in a real-world field setting rather than a controlled laboratory. It allows researchers to estimate both main effects and interaction effects of multiple factors on an outcome under ecologically valid conditions, making findings directly relevant to practice.