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ID 27381
file
title alternative
Tightening arrangement of multiple comparison tests
creator
Hayashi, Tomoyuki
Niimi, Naoko
subject
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
NDC
Psychology
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.
journal title
Bulletin of the Graduate School of Education, Hiroshima University. Part 3, Education and human science
issue
Issue 54
start page
189
end page
196
date of issued
2006-03-28
publisher
広島大学大学院教育学研究科
issn
1346-5562
ncid
SelfDOI
language
jpn
nii type
Departmental Bulletin Paper
HU type
Departmental Bulletin Papers
DCMI type
text
format
application/pdf
text version
publisher
department
Graduate School of Education
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