著者

尾関 美喜 OZEKI Miki

出版者

名古屋大学大学院教育発達科学研究科

雑誌

名古屋大学大学院教育発達科学研究科紀要 (ISSN:13461729)

巻号頁・発行日

vol.54, pp.119-125, 2007-12-28 (Released:2008-08-07)

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This article aimed to stress the importance of analyzing nested data through an adequate way, by comparing ANOVA (Analysis of variance) and HLM (Hierarchical Linear Model). The data used revealed that HLM uncovered only a significant individual level factor, despite both individual and group level factors were actually significant. This result implies that the probability of committing a Type I error increases when data with significant intraclass correlation is not analyzed properly.