Introduction to jamovi

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.

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