@article{oai:nagoya.repo.nii.ac.jp:00008589, author = {尾関, 美喜 and OZEKI, Miki}, journal = {名古屋大学大学院教育発達科学研究科紀要. 心理発達科学}, month = {Dec}, note = {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.}, pages = {119--125}, title = {集団ごとに収集された個人データの分析(2) ― 分散分析とHLM (Hierarchical Linear Model) の比較 ―}, volume = {54}, year = {2007} }