英和和英

出典:『Wikipedia』 (2011/03/23 11:45 UTC 版)

英語による解説

引用

A multiple baseline design is a style of research involving the careful measurement of multiple persons, traits or settings both before and after a treatment. This design is used in medical, psychological and biological research to name a few areas. It has several advantages over AB designs which only measures a single case. By gathering data from many subjects (instances), inferences can be made about the likeliness that the measured trait generalizes to a greater population. In multiple baseline designs, the experimenter starts by measuring a trait of interest, then applying a treatment before measuring that trait again. Treatment should not begin until a stable baseline has been recorded, and should not finish until measures regain stability. If a significant change occurs across all participants the experimenter may infer that the treatment is effective.