この文献の参照には次のURLをご利用ください : https://doi.org/10.15027/27381
広島大学大学院教育学研究科紀要. 第三部, 教育人間科学関連領域 54 号
2006-03-28 発行
厳格化の観点からの多重比較法の整理
Tightening arrangement of multiple comparison tests
林 智幸
新見 直子
Abstract
Multiple comparison tests are one of statistical tests that often used in amount of psychological studies. But there are too many kinds of multiple comparison tests to make proper use of the tests. In this article, we redefined multiple comparison tests for interval scale data as "tightening reduplicative t-tests". There are three lights for tightening t-tests; 1) level of significance, 2) distribution, and 3) statistic. Based on the each view many kinds of multiple comparison tests are developed. By setting information on each view for tightening t-tests before in this article, it will become possible to make proper use of multiple comparison tests.
About This Article
著者キーワード
multiple comparison tests on interval scale data
tightening reduplicative t-tests
statistical learning
間隔尺度データにおける多重比較法
厳格化された反復t検定
統計学習
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