Course 11 — Statistical Analysis with Jamovi

💻📊 Statistical Analysis with Jamovi

Welcome to Statistical Analysis with Jamovi, a practical, step-by-step course designed to help researchers conduct and interpret statistical analyses using Jamovi. The course takes learners from creating or importing a dataset to producing statistical outputs and translating those outputs into meaningful dissertation findings.

Rather than simply teaching where to click in the software, this course emphasizes statistical reasoning, appropriate test selection, assumption checking, interpretation, and academic reporting. The GDG manual specifically presents Jamovi as a practical tool while emphasizing that researchers remain responsible for selecting appropriate procedures and interpreting results correctly.

Learners will practice commonly used descriptive and inferential procedures, including descriptive statistics, reliability analysis, assumption testing, correlation, t-tests, ANOVA, regression, non-parametric tests, tests of association, and factor analysis.

📘 What Learners Will Explore:

• Getting started with Jamovi
• Creating and importing datasets
• Importing Excel, CSV, and SPSS data
• Variable setup and data organization
• Frequencies and percentages
• Mean, median, and mode
• Standard deviation and variance
• Descriptive tables and graphs
• Reliability analysis
• Cronbach’s alpha
• Normality and assumption testing
• Shapiro-Wilk testing
• Histograms and Q-Q plots
• Pearson, Spearman, and Kendall correlation
• One-sample, independent-samples, and paired-samples t-tests
• Effect sizes and confidence intervals
• One-way and two-way ANOVA
• Repeated-measures ANOVA
• Post-hoc tests
• Welch ANOVA
• Simple and multiple linear regression
• R and R²
• Regression coefficients
• VIF and multicollinearity
• Mann-Whitney U and Wilcoxon tests
• Kruskal-Wallis and Friedman tests
• Chi-square and tests of association
• Cramér’s V
• Exploratory and confirmatory factor analysis
• KMO and Bartlett’s test
• Factor loadings and explained variance
• Reading and interpreting Jamovi output
• Writing statistical findings
• APA-style statistical reporting

These areas follow the statistical procedures organized in the GDG manual and the existing online course library.

🧠 Jamovi Skills in Action:

• Data Analysis: Conduct statistical procedures using real research datasets.
• Test Selection: Select analyses based on research objectives and variables.
• Output Interpretation: Understand what statistical tables and values actually mean.
• Research Reporting: Convert statistical outputs into clear dissertation findings.

🎯 By the End of This Course, You Will Be Able To:

• Prepare and import research data into Jamovi.
• Conduct descriptive statistical analyses.
• Assess the reliability of research scales.
• Check important assumptions before analysis.
• Conduct correlation analyses.
• Perform appropriate t-tests.
• Conduct ANOVA and post-hoc analyses.
• Perform regression analyses.
• Conduct selected non-parametric procedures.
• Perform chi-square and association analyses.
• Understand the fundamentals of factor analysis.
• Interpret Jamovi output.
• Make appropriate statistical decisions.
• Present statistical findings in an academic format.

💻 Practical Analysis Workshop

This is a hands-on Jamovi course. Learners will work with research datasets while following the analysis process from dataset preparation → analysis → output → interpretation → dissertation reporting.

Where appropriate, learners will also apply the procedures to their own research dataset, making the course directly relevant to their dissertation.