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) Multinomial logistic regression
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Classroom Contents
jamovi for Data Analysis - Full Tutorial
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- 1 ) Welcome
- 2 ) Installing jamovi
- 3 ) Navigating jamovi
- 4 ) Sample data
- 5 ) Sharing files
- 6 ) Sharing with OSF.io
- 7 ) jamovi modules
- 8 ) The jmv package for R
- 9 ) Wrangling data: chapter overview
- 10 ) Entering data
- 11 ) Importing data
- 12 ) Variable types & labels
- 13 ) Computing means
- 14 ) Computing z-scores
- 15 ) Transforming scores to categories
- 16 ) Filtering cases
- 17 ) Exploration: chapter overview
- 18 ) Descriptive statistics
- 19 ) Histograms
- 20 ) Density plots
- 21 ) Box plots
- 22 ) Violin plots
- 23 ) Dot plots
- 24 ) Bar plots
- 25 ) Exporting tables & plots
- 26 ) t-tests: chapter overview
- 27 ) Independent-samples t-test
- 28 ) Paired-samples t-test
- 29 ) One-sample t-test
- 30 ) ANOVA: chapter overview
- 31 ) ANOVA
- 32 ) Repeated-measures ANOVA
- 33 ) ANCOVA
- 34 ) MANCOVA
- 35 ) Kruskal-Wallis test
- 36 ) Friedman test
- 37 ) Regression: chapter overview
- 38 ) Correlation matrix
- 39 ) Linear regression
- 40 ) Variable entry
- 41 ) Regression diagnostics
- 42 ) Binomial logistic regression
- 43 ) Multinomial logistic regression
- 44 ) Ordinal logistic regression
- 45 ) Frequencies: chapter overview
- 46 ) Binomial test
- 47 ) Chi-squared goodness-of-fit
- 48 ) Chi-squared test of association
- 49 ) McNemar test
- 50 ) Log-linear regression
- 51 ) Factor: chapter overview
- 52 ) Reliability analysis
- 53 ) Principal component analysis
- 54 ) Exploratory factor analysis
- 55 ) Confirmatory factor analysis
- 56 ) Next steps
