方法对比
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| 交叉实验室实验× | 重复测量方差分析× | |
|---|---|---|
| 领域≠ | 实验设计 | 统计学 |
| 方法族≠ | Process / pipeline | Hypothesis test |
| 起源年份≠ | Mid-20th century; consolidated 1980s–2000s | 1992 |
| 提出者≠ | Established in pharmacological and behavioral research; Jones & Kenward formalized the framework | Girden (textbook treatment); Field (2013) |
| 类型≠ | Within-subjects experimental design | Parametric within-subjects mean comparison |
| 开创性文献≠ | Jones, B., & Kenward, M. G. (2014). Design and Analysis of Cross-Over Trials (3rd ed.). CRC Press. ISBN: 978-1439861424 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| 别名 | within-subjects crossover lab study, repeated-measures crossover experiment, crossover controlled lab experiment, within-person laboratory crossover trial | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| 相关≠ | 5 | 4 |
| 摘要≠ | 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. | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). |
| ScholarGate数据集 ↗ |
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