Logo
  • Prologo

Sfondo

  • Why do we learn statistics?
  • Una breve introduzione al design della ricerca

Un'introduzione a jamovi

  • Getting started with jamovi
  • Descriptive statistics
  • Drawing graphs
  • Pragmatic matters

Teoria statistica

  • Statistical theory: A Prelude
  • Introduction to probability
  • Estimating unknown quantities from a sample
  • Hypothesis testing

Strumenti statistici

  • Categorical data analysis
  • Comparing two means
  • Correlation and linear regression
  • 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

Finali, alternative, prospettive

  • Bayesian statistics
  • Epilogue
  • References
Learning statistics with jamovi
  • Factorial ANOVA
  • Summary

Autore della sezione: 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

Precedente Prossimo

© 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..