厳格化の観点からの多重比較法の整理

Tightening arrangement of multiple comparison tests

Hayashi Tomoyuki

Niimi Naoko

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

Bulletin of the Graduate School of Education, Hiroshima University. Part 3, Education and human science

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.

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

Psychology [ 140 ]

jpn

広島大学大学院教育学研究科

[ISSN] 1346-5562

[NCID] AA11625039