Modules

Data management - What is research methodology?

• Module 01: questionnaire, codebook, data entry, & data import to jamovi

• Module 02: recode, compute, transform, & filter using jamovi

Learn the essential basics: 

• Module 03: Reliability of measurements

• Module 04: Visualizations

• Module 05: Descriptive Statistics

Compare means with different settings:

• Module 06: One-Sample T-Test

• Module 07: Paired Samples T-Test

• Module 08: Independent Samples T-Test

The strength of association between TWO continuous variables:

• Module 09: Correlation

• Module 10: Simple linear regression

Back to basics - revisit the core concepts:

• Module 11: Probability theory

• Module 12: Confidence interval

• Module 13: Power analysis and effect sizes

The strength of association for categorical variables:

• Module 14: Chi-square and tests for proportions

Compare means with different (complex) settings:

• Module 15: One-Way ANOVA

• Module 16: Factorial ANOVA

• Module 17: Repeated-measures ANOVA 

The strength of association for multiple continuous variables:

• Module 18: Multiple regression 1

• Module 19: Multiple regression 2

• Module 20: Simple mediation and moderation

Basics of scale development:

• Additional Module: Exploratory factor analysis (EFA)