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Introduction to jamovi

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Overview

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Learn how to do fast and friendly data analysis with jamovi. See how to use this open-source application to analyze data, reproduce analyses, and collaborate with colleagues.

Syllabus

Introduction
  • Introduction to jamovi
1. Getting Started
  • Installing
  • Navigating
  • Sample data
  • Sharing files
  • Sharing with OSF
  • jamovi modules
  • jmv package
2. Wrangling Data
  • Wrangling data: Chapter overview
  • Entering data
  • Importing data
  • Variable types and labels
  • Computing variables
  • Computing z-scores
  • Transforming scores to categories
  • Filtering rows
3. Exploration
  • Exploration: Chapter overview
  • Descriptive statistics
  • Histograms
  • Density plots
  • Box plots
  • Violin plots
  • Dot plots
  • Bar plots
  • Exporting tables and plots
4. T-tests
  • T-tests: Chapter overview
  • Independent samples t-test
  • Paired samples t-test
  • One-sample t-test
5. ANOVA
  • ANOVA: Chapter overview
  • ANOVA
  • Repeated measures ANOVA
  • ANCOVA
  • MANCOVA
  • Kruskal-Wallis test
  • Friedman test
6. Regression
  • Regression: Chapter overview
  • Correlation matrix
  • Linear regression
  • Variable entry
  • Regression diagnostics
  • Binomial logistic regression
  • Multinomial logistic regression
  • Ordinal logistic regression
7. Frequencies
  • Frequencies: Chapter overview
  • Binomial test
  • Chi-square goodness-of-fit
  • Chi-square test of association
  • McNemar test
  • Log-linear regression
8. Factor
  • Factor: Chapter overview
  • Reliability analysis
  • Principal component analysis
  • Exploratory factor analysis
  • Confirmatory factor analysis
Conclusion
  • Next steps

Taught by

Barton Poulson

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