Learning Objectives

By the end of this 4-day certificate course, participants will be able to:

• Navigate and utilize the Jamovi interface to manage datasets, define variable types, and generate descriptive statistics and graphs.

• Conduct and interpret key statistical analyses including reliability (Cronbach’s alpha), correlation (Pearson/Spearman), t-tests (one-sample, independent, paired), and multiple regression using Jamovi.

• Perform advanced statistical techniques such as mediation and moderation analyses using Jamovi’s additional modules.

• Apply APA-style formatting to report tables, figures, and statistical results for theses, research papers, and presentations.

• Select and implement appropriate statistical tests based on research questions and dataset characteristics through integrated hands-on practice.
  Day 1: Introduction & Basics (3 hrs)

Objective: Familiarize participants with Jamovi interface, data handling, and descriptive analysis.

• Introduction to Jamovi (30 min)
  
  

• What is Jamovi? Why use it?

• Comparison with SPSS, R, Excel.

• Installing and exploring Jamovi interface.
  
  

Data Management (45 min)

• Importing data (Excel, CSV, SPSS files).

• Entering and coding variables.

• Defining variable types (Nominal, Ordinal, Continuous).

• Handling missing values.
  
  

Descriptive Statistics & Graphs (1 hr 30 min)

• Frequencies, mean, median, SD, variance.

• Tables and APA-style output.

• Graphs: bar charts, histograms, boxplots.

• Exporting tables and figures.

• Hands-on exercise: Analyze a small dataset.
  
  

Day 2: Reliability, Correlation & t-Tests with APA Reporting (3 hrs)

Objective: Learn reliability analysis, correlations, and group comparisons with correct APA-style reporting.

Reliability Analysis (45 min)

• Cronbach’s Alpha: internal consistency.

• Item-total statistics.

• APA-style reporting of reliability results.
  
  

Correlation Analysis (45 min)

• Pearson and Spearman correlations.

• Scatterplots and interpretation.

• APA-style reporting of correlations.

• Hands-on practice with sample dataset.
  
  

T-Tests (1 hr 15 min)

• One-sample t-test.

• Independent samples t-test.

• Paired samples t-test.

• Interpreting outputs (effect size, confidence intervals).

• APA-style reporting of t-tests.

• Hands-on dataset analysis.

Day 3: Regression, Mediation & Moderation (3 hrs)

Objective: Perform regression and advanced analyses (mediation, moderation) with APA-style reporting.

Simple & Multiple Regression (1 hr 15 min)

• Simple linear regression.

• Multiple regression (adding predictors).

• Checking assumptions (linearity, normality, multicollinearity).

• APA-style reporting of regression.
  
  

Mediation Analysis (45 min)

• Concept of mediator variables.

• Running mediation in Jamovi (using modules).

• APA-style reporting of mediation.
  
  

Moderation Analysis (45 min)

• Concept of moderator variables.

• Running moderation in Jamovi.

• APA-style reporting of moderation.
  
  

Day 4: Integration, Review & Hands-on Practice (3 hrs)

Objective: Consolidate learning from previous sessions through revision, integration, and practical application.

Quick Recap of Key Analyses (30 min)

• Reliability, correlation, t-tests, regression, mediation, moderation.

• Discussion: Which test to use when? (decision-making guide).
  
  

Hands-on Practice with a Research Dataset (1 hr 30 min)

• Participants analyze a full dataset from start to finish:

• Descriptive statistics + graphs.

• Reliability of a scale.

• Correlation & one inferential test (t-test or regression).

• Mediation/moderation if applicable.

• Group work & guidance.
  
  

APA-Style Reporting & Wrap-Up (1 hr)

• Writing results sections for theses/papers.

• Exporting APA tables & graphs.

• Q&A and discussion of participant queries.

• Course wrap-up & certificate distribution.