השוואת שיטות
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| Crossover Pretest-Posttest Experimental Design× | ANOVA למדידות חוזרות× | |
|---|---|---|
| תחום≠ | תכנון ניסויים | סטטיסטיקה |
| משפחה≠ | Process / pipeline | Hypothesis test |
| שנת המקור≠ | 1963 (Campbell & Stanley framework); crossover methodology formalized 1980s–2000s | 1992 |
| הוגה השיטה≠ | Donald T. Campbell & Julian C. Stanley (pretest-posttest framework); Stephen Senn (crossover trial methodology) | Girden (textbook treatment); Field (2013) |
| סוג≠ | Within-subjects experimental design | Parametric within-subjects mean comparison |
| מקור מכונן≠ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| כינויים | within-subjects pretest-posttest design, repeated-measures crossover design, AB/BA pretest-posttest design, crossover repeated-measures design | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| קשורות≠ | 5 | 4 |
| תקציר≠ | 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. | 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). |
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