Practice exercises for each chapter of the book Quantitative Research Methods: A Practical Guide with R and SPSS (Dr George Owusu, University of Ghana).
Each file contains, for one chapter:
- Concept checks — short questions to test understanding.
- Hands-on data tasks — analyses to run on the Afrobarometer or Gapminder data (different variables from the worked examples in the book), with a statement of what to produce and interpret.
- Capstone — a pointer to that chapter's larger project in the book.
| File | Chapter |
|---|---|
chapter01_practice.md |
1 — Foundations |
chapter02_practice.md |
2 — Variables, Measurement, Visualization |
chapter03_practice.md |
3 — Research Designs |
chapter04_practice.md |
4 — Data Collection and Sampling |
chapter05_practice.md |
5 — Survey and Questionnaire Design |
chapter06_practice.md |
6 — Descriptives, Correlation, Regression |
chapter07_practice.md |
7 — Hypothesis Testing |
chapter08_practice.md |
8 — Composite Scoring & Chi-square |
chapter09_practice.md |
9 — Multiple / Logistic Regression |
chapter10_practice.md |
10 — ANOVA |
chapter11_practice.md |
11 — Factor Analysis |
chapter12_practice.md |
12 — Non-Parametric Tests |
chapter13_practice.md |
13 — The Role of AI in Quantitative Research |
To run the hands-on tasks you need R and the datasets — see the Getting the data and Requirements sections of the main README. The reproduction scripts in the repository root show the same techniques worked end-to-end.
Model answers are provided to instructors separately and are not published here.