Analyzing Data Nested within Groups (2): Comparing ANOVA (Analysis of Variance) and HLM (Hierarchical Linear Model)

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  • 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 ―
  • シュウダン ゴト ニ シュウシュウサレタ コジン データ ノ ブンセキ 2 ブンサン ブンセキ ト HLM Hierarchical Linear Model ノ ヒカク

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Abstract

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.

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