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מבנה ניסוי מוצלב×מבחן t לדגימות מזווגות×
תחוםתכנון ניסוייםסטטיסטיקה
משפחהHypothesis testHypothesis test
שנת המקור19601908
הוגה השיטהEarly formalized in clinical research literature; widely used since mid-20th centuryStudent (W. S. Gosset)
סוגWithin-subject repeated-measures designParametric mean comparison (paired)
מקור מכונןSenn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185
כינוייםwithin-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
קשורות64
תקצירA 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.
ScholarGateמערך נתונים
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  2. 2 מקורות
  3. PUBLISHED
  1. v1
  2. 2 מקורות
  3. PUBLISHED

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ScholarGateהשוואת שיטות: Crossover Design · Paired t-test. אוחזר בתאריך 2026-06-18 מתוך https://scholargate.app/he/compare