중다기초선설계 문서 원본 보기

'''중다기초선설계'''({{llang|en|Multiple baseline design}})는 과학적 실험 설계 방법론 중 하나로, 복수의 연구 대상에게 순차적으로 [[중재]]를 시행하는 방식이다. [[심리학]]이나 [[정신의학]], [[특수교육학]]에서 많은 사람을 대상으로 정량적으로 연구하는 것이 어려울 때 연구 방법으로 주로 사용된다.

== 장점 ==
중다기초선설계는 단일 대상에게 기초선(baseline) 측정 이후 중재를 시행하는 기존의 단일중재 설계에 비해 장점ㄴ을 갖기ㅗ 있다. 시차를 두고

 It has several advantages over AB designs, which only measure a single case. The start of treatment conditions is staggered (started at different times) across individuals. Because treatment is started at different times, changes are attributable to the treatment rather than to a chance factor. 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 applies a treatment before measuring that trait again. Treatment does not begin until a stable baseline has been recorded, and does not finish until measures regain stability.[1] If a significant change occurs across all participants the experimenter may infer that the treatment is effective.

Multiple base-line experiments are most commonly used in cases where the dependent variable is not expected to return to normal after the treatment has been applied, or when medical reasons forbid the withdrawal of a treatment. They often employ particular methods or recruiting participants. Multiple baseline designs are associated with potential confounds introduced by experimenter bias, which must be addressed to preserve objectivity. Particularly, researchers are advised to develop all test schedules and data collection limits beforehand.

== 세부적인 방식 ==
동시발생(Concurrent) 방식은 




{{번역중|Multiple baseline design}}
[[en:Multiple baseline design]]