Learning R for Management Research
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Course map
Lessons
1. First steps
2. Clean and describe
3. Correlations and t-tests
4. Reliability and scales
5. EFA and chi-square
6. Regression and diagnostics
7. Moderation and mediation
8. Logistic regression
9. Replication and reporting
Data
Resources
Practice
Solutions
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Learning R for Management Research
Getting started
Course map
Core lessons
1. First steps in R and RStudio
2. Clean, describe, and visualize data
3. Correlations, confidence intervals, and t-tests
4. Reliability and scale construction
5. Exploratory factor analysis and chi-square
6. Linear regression and diagnostics
7. Moderation and mediation
8. Logistic regression
9. Replication and reporting
Practice
Exercises
Solutions
Reference
Datasets
Further learning
Practice
Solutions
Solutions
The solution scripts are deliberately concise. More than one correct workflow is possible.
Exercises 1–2
Exercises 3–4
Exercises 5–6
Exercises 7–8