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  • プロローグ

バックグラウンド

  • なぜ統計学を学ぶのか?
  • A brief introduction to research design

jamoviの紹介

  • jamoviを始める
  • 記述統計学
  • Drawing graphs
  • Pragmatic matters

統計理論

  • Statistical theory: A Prelude
  • 確率論入門
  • サンプルから未知の値を推定する
  • 仮説検定

統計ツール

  • カテゴリーデータ分析
  • Comparing two means
  • 相関と線形回帰
  • Comparing several means (one-way ANOVA)
  • Factorial ANOVA
    • Factorial ANOVA 1: balanced designs, no interactions
    • Factorial ANOVA 2: balanced designs, interactions allowed
    • Effect size
    • Assumption checking
    • Analysis of Covariance (ANCOVA)
    • ANOVA as a linear model
    • Different ways to specify contrasts
    • Post-hoc tests
    • The method of planned comparisons
    • Factorial ANOVA 3: unbalanced designs
    • Summary
  • Factor Analysis

エンディング、オルタネイティブ、プロスペクト

  • ベイズ統計学
  • エピローグ
  • References
Learning statistics with jamovi
  • Factorial ANOVA
  • Summary

この節の作者: Danielle J. Navarro and David R. Foxcroft

Summary

  • Factorial ANOVA with balanced designs, without interactions and with interactions included

  • Effect size, estimated means, and confidence intervals in a factorial ANOVA

  • Checking assumptions in the ANOVA

  • Analysis of Covariance (ANCOVA)

  • Understanding the linear model underlying ANOVA, including different contrasts

  • Post-hoc testing (using Tukey’s HSD) and a brief commentary on planned comparisons

  • Factorial ANOVA with unbalanced designs

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© Copyright 2011-2025, Danielle J. Navarro, David R. Foxcroft, and Sebastian Jentschke (curating this documentation). This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License..