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反応時間分析における外れ値の処理
https://doi.org/10.34360/00005194
https://doi.org/10.34360/000051942194e78c-9127-4242-8893-64672b8cdeca
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||||
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公開日 | 2011-05-25 | |||||||||
タイトル | ||||||||||
タイトル | 反応時間分析における外れ値の処理 Outliers in reaction time data : Methodological considerations and practical suggestions |
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言語 | ||||||||||
言語 | jpn | |||||||||
キーワード | ||||||||||
主題 | reaction time analysis, outliers, psychometrics | |||||||||
資源タイプ | ||||||||||
資源タイプ | departmental bulletin paper | |||||||||
ID登録 | ||||||||||
ID登録 | 10.34360/00005194 | |||||||||
ID登録タイプ | JaLC | |||||||||
アクセス権 | ||||||||||
アクセス権 | open access | |||||||||
作成者 |
大久保, 街亜
× 大久保, 街亜
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内容記述 | ||||||||||
内容記述 | Reaction time is used to measure various types of human performance such as perception, memory, and problem solving. Many constructs, from unconscious prejudice to intelligence to personality, can also be measured by use of reaction time. It is, therefore, fundamentally important to remove the influence of spurious long reaction time in a positively skewed distribution, which reaction time data tends to follow. The present article evaluated methods for dealing with reaction time outliers. These methods were categorized into three types : Sample selection, transformation, and whole distribution analysis. In this article, I summarized pros and cons of these methods and made suggestions for a practical reaction time analysis. | |||||||||
公開者 | ||||||||||
出版者 | 専修大学人間科学学会 SENSHU DAIGAKU NINGEN-KAGAKU GAKUKAI(The Senshu University) |
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ISSN | ||||||||||
収録物識別子 | 2185-8276 | |||||||||
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収録物識別子 | AA12515444 | |||||||||
書誌情報 |
ja : 専修人間科学論集. 心理学篇 en : Bulletin of Senshu University school of human sciences. Psychology 巻 1, p. 81-89, 発行日 2011-03-15 |
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出版タイプ | VoR |