This course aims to teach learners how to use jamovi, a free and open-source data analysis application, for refining, analyzing, and visualizing data to gain valuable insights. The course covers topics such as data wrangling, exploration, t-tests, ANOVA, regression, frequencies, and factor analysis. By the end of the course, students will have acquired skills in data manipulation, statistical analysis, and data visualization using jamovi. The teaching method involves a comprehensive tutorial format with hands-on demonstrations and practical examples. This course is intended for individuals interested in learning data analysis techniques using jamovi, especially those transitioning from other statistical software programs like SPSS.
Overview
Syllabus
) Welcome.
) Installing jamovi.
) Navigating jamovi.
) Sample data.
) Sharing files.
) Sharing with OSF.io.
) jamovi modules.
) The jmv package for R.
) Wrangling data: chapter overview.
) Entering data.
) Importing data.
) Variable types & labels.
) Computing means.
) Computing z-scores.
) Transforming scores to categories.
) Filtering cases.
) Exploration: chapter overview.
) Descriptive statistics.
) Histograms.
) Density plots.
) Box plots.
) Violin plots.
) Dot plots.
) Bar plots.
) Exporting tables & 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-squared goodness-of-fit.
) Chi-squared 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
freeCodeCamp.org
