方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 交叉所罗门四组设计× | 交叉前后测实验设计× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1949 (base design); crossover adaptation developed through later methodological literature | 1963 (Campbell & Stanley framework); crossover methodology formalized 1980s–2000s |
| 提出者≠ | Richard L. Solomon (base design); crossover extension via repeated-measures methodology | Donald T. Campbell & Julian C. Stanley (pretest-posttest framework); Stephen Senn (crossover trial methodology) |
| 类型≠ | Experimental design (pretest-sensitization control + within-subjects crossover) | Within-subjects experimental design |
| 开创性文献≠ | Solomon, R. L. (1949). An extension of control group design. Psychological Bulletin, 46(2), 137–150. DOI ↗ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 |
| 别名≠ | crossover S4G design, within-subjects Solomon design, repeated-measures Solomon four-group design | within-subjects pretest-posttest design, repeated-measures crossover design, AB/BA pretest-posttest design, crossover repeated-measures design |
| 相关 | 5 | 5 |
| 摘要≠ | The Crossover Solomon Four-Group Design merges two powerful experimental strategies: the Solomon four-group design's control for pretest sensitization and the crossover design's within-subjects efficiency. Participants are randomly assigned to one of four groups that vary in whether they receive a pretest and in the sequence of treatment and control conditions, allowing the researcher to simultaneously estimate treatment effects, pretest effects, and their interaction while controlling for individual differences through repeated measurement. | A crossover pretest-posttest experimental design is a within-subjects experiment in which each participant receives two or more treatments in a randomized sequence, with outcome measurements taken both before and after each treatment period. By serving as their own control across conditions, participants allow direct intra-individual comparison, dramatically increasing statistical power while reducing the sample size required relative to a parallel-group design. |
| ScholarGate数据集 ↗ |
|
|