- 著者
-
村山 航
- 出版者
- 日本基礎心理学会
- 雑誌
- 基礎心理学研究 (ISSN:02877651)
- 巻号頁・発行日
- vol.36, no.2, pp.236-242, 2018-03-31 (Released:2018-06-16)
- 参考文献数
- 17
- 被引用文献数
-
1
When researchers analyze data from an experiment with multiple experimental stimuli, they tend to aggregate responses to the experimental stimuli before performing a statistical test (e.g., t-test, analysis of variance). This common practice, however, ignores sampling errors of experimental stimuli, resulting in a substantial increase in Type-1 error rate. This article reviews the relevant literature and provides conceptual explanations about the mechanisms underlying the inflation of Type-1 error rate. The article also illustrates how linear mixed-effects model with random-stimulus effects can address the issue, with the emphasis on the correct model specification when using linear mixed-effects model.