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
Related Courses
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)The Chinese University of Hong Kong via Coursera Applied Multivariate Statistical Modeling
Indian Institute of Technology, Kharagpur via Swayam Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Survey analysis to Gain Marketing Insights
Emory University via Coursera Business Analytics and Digital Media
Indian School of Business via Coursera