Introduction to jamovi
Offered By: LinkedIn Learning
Course Description
Overview
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
- Installing
- Navigating
- Sample data
- Sharing files
- Sharing with OSF
- jamovi modules
- jmv package
- Wrangling data: Chapter overview
- Entering data
- Importing data
- Variable types and labels
- Computing variables
- Computing z-scores
- Transforming scores to categories
- Filtering rows
- Exploration: Chapter overview
- Descriptive statistics
- Histograms
- Density plots
- Box plots
- Violin plots
- Dot plots
- Bar plots
- Exporting tables and plots
- T-tests: Chapter overview
- Independent samples t-test
- Paired samples t-test
- One-sample t-test
- ANOVA: Chapter overview
- ANOVA
- Repeated measures ANOVA
- ANCOVA
- MANCOVA
- Kruskal-Wallis test
- Friedman test
- Regression: Chapter overview
- Correlation matrix
- Linear regression
- Variable entry
- Regression diagnostics
- Binomial logistic regression
- Multinomial logistic regression
- Ordinal logistic regression
- Frequencies: Chapter overview
- Binomial test
- Chi-square goodness-of-fit
- Chi-square test of association
- McNemar test
- Log-linear regression
- Factor: Chapter overview
- Reliability analysis
- Principal component analysis
- Exploratory factor analysis
- Confirmatory factor analysis
- Next steps
Taught by
Barton Poulson
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