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| Thiết kế thử nghiệm chéo× | Phép kiểm t cho mẫu cặp× | |
|---|---|---|
| Lĩnh vực≠ | Thiết kế thí nghiệm | Thống kê |
| Họ | Hypothesis test | Hypothesis test |
| Năm ra đời≠ | 1960 | 1908 |
| Người khởi xướng≠ | Early formalized in clinical research literature; widely used since mid-20th century | Student (W. S. Gosset) |
| Loại≠ | Within-subject repeated-measures design | Parametric mean comparison (paired) |
| Công trình gốc≠ | 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.). SAGE. ISBN: 978-1446249185 |
| Tên gọi khác | within-subject crossover, cross-over design, AB/BA design, Çapraz Desen (Crossover Design) | dependent samples t-test, repeated measures t-test, matched-pairs t-test, eşleştirilmiş örneklem t-testi |
| Liên quan≠ | 6 | 4 |
| Tóm tắt≠ | A crossover design is an experimental design in which each participant receives all treatments under investigation, but in a different sequence and across separate time periods. Each subject thus acts as their own control, which substantially reduces between-subject variability and allows efficient treatment comparisons with smaller sample sizes. The approach has been central to clinical pharmacology and comparative research since the mid-20th century, with foundational methodology codified by Senn (2002) and Jones & Kenward (2014). | The paired samples t-test is a parametric hypothesis test that compares two measurements taken on the same subjects — such as a before and after reading — to decide whether the average change differs from zero. It rests on the t-distribution introduced by Student (W. S. Gosset) in 1908 and works on the within-subject difference scores rather than the raw measurements. |
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