Introduction to jamovi

Description

In this course, you will :

• With Jamovi, you can learn how to do fast and friendly data analysis.
• demonstrates how to install jamovi and third-party modules, import and wrangle data, create ggplot2 visualisations, and analyse data using advanced methods.
• how to collaborate with the Open Science Framework and share your work with unified files (OSF).

Syllabus :

1. Getting Started

• Installing
• Navigating
• Sample data
• Sharing files
• Sharing with OSF
• jamovi modules
• jmv package

 

2. Wrangling Data

• Entering data
• Importing data
• Variable types and labels
• Computing variables
• Computing z-scores
• Transforming scores to categories
• Filtering rows

 

3. Exploration

• Descriptive statistics
• Histograms
• Density plots
• Box plots
• Violin plots
• Dot plots
• Bar plots
• Exporting tables and plots

 

4. T-tests

• Independent samples t-test
• Paired samples t-test
• One-sample t-test

 

5. ANOVA

• Repeated measures ANOVA
• ANCOVA
• MANCOVA
• Kruskal-Wallis test
• Friedman test

 

6. Regression

• Correlation matrix
• Linear regression
• Variable entry
• Regression diagnostics
• Binomial logistic regression
• Multinomial logistic regression
• Ordinal logistic regression

 

7. Frequencies

• Binomial test
• Chi-square goodness-of-fit
• Chi-square test of association
• McNemar test
• Log-linear regression

 

8. Factor

• Reliability analysis
• Principal component analysis
• Exploratory factor analysis
• Confirmatory factor analysis

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