This is an Analysis of Afrobarometer Round 9 data using R to test whether urban–rural residency. influences respondent satisfaction with democracy in Ghana, as part of my MA‑E‑Science work.
# A-Bivariate-Analysis-of-Afrobarometer-Data-Urban-Rural-Differences-in-Democratic-Satisfaction
This is an Analysis of Afrobarometer Round 9 data using R to test whether urban–rural residency. influences respondent satisfaction with democracy in Ghana, as part of my MA‑E‑Science work.
# Urban–Rural Differences in Democratic Satisfaction (Ghana)
*Part of my MA‑E‑Science portfolio — please read this project (.html file)*
# Project Preview
Screenshot:
github.com
## Project Purpose
This project analyses **Afrobarometer Round 9 survey data (2021–2023)** to test whether urban and rural residence influences satisfaction with democracy in Ghana. The study recodes survey responses into a binary variable (Satisfied vs Not Satisfied) and applies statistical tests to compare proportions across residence types.
## Data Source
Data comes from the **Afrobarometer Round 9 survey**, which provides nationally representative public opinion data on democracy, governance, and development across African countries.
## Methods
- Tool: **R programming language** for statistical computing and visualisation.
- Approach: Frequency distributions, contingency tables, difference of proportions test, and two‑proportion z‑test with 90% confidence intervals.
## Results
The findings show **no statistically significant difference** in satisfaction with democracy between urban and rural residents in Ghana.
- Urban satisfaction: **51.7%**
- Rural satisfaction: **51.0%**
- Difference: **‑0.8% (p = 0.71)**
This suggests that, despite structural inequalities, **citizens across geographic divides share similar democratic attitudes** in Ghana.
**Please read this project** — it is part of my **Master of Arts in E‑Science** work, applying data science methods to political and development studies.