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| Лабораторен експеримент с кръстосан дизайн× | Факторен лабораторен експеримент× | |
|---|---|---|
| Област | Планиране на експеримента | Планиране на експеримента |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | Mid-20th century; consolidated 1980s–2000s | 1926 (Fisher's factorial principle); laboratory application systematized mid-20th century |
| Създател≠ | Established in pharmacological and behavioral research; Jones & Kenward formalized the framework | Ronald A. Fisher |
| Тип≠ | Within-subjects experimental design | Experimental research design |
| Основополагащ източник≠ | Jones, B., & Kenward, M. G. (2014). Design and Analysis of Cross-Over Trials (3rd ed.). CRC Press. ISBN: 978-1439861424 | Kirk, R. E. (2013). Experimental Design: Procedures for the Behavioral Sciences (4th ed.). Sage Publications. ISBN: 978-1412974455 |
| Други названия | within-subjects crossover lab study, repeated-measures crossover experiment, crossover controlled lab experiment, within-person laboratory crossover trial | factorial lab experiment, laboratory factorial design, factorial controlled experiment, multi-factor lab study |
| Свързани≠ | 5 | 2 |
| Резюме≠ | A crossover laboratory experiment is a within-subjects experimental design conducted in a controlled lab environment in which each participant receives two or more treatments sequentially, serving as their own control. By eliminating between-person variability from the error term, it yields high statistical power with relatively small samples. Treatment order is randomized or counterbalanced across participants to guard against order and carryover effects. | 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. |
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