World Values Survey Data Analysis

Overview

This repository contains data and code for analyzing the World Values Survey (WVS) dataset. The project involves data cleaning, processing, and merging GDP data with survey responses.

Repository Structure

📂 osf-vwvs/                   # Root directory
 ├── 📂 clean/                 # Processed datasets  
 │    ├── WVS_GDP_merged_data.csv    # Merged WVS data with GDP  
 │    ├── WVS_random_subset.csv      # Random subset of WVS data  
 │    ├── WVS_subset.csv             # Subset of WVS data  
 │  
 ├── 📂 documentation/          # Documentation and metadata  
 │    ├── codebook.pdf          # Variable definitions and coding instructions  
 │  
 ├── 📂 raw/                    # Raw data files  
 │    ├── WVS_Cross-National_Wave_7_csv_v6_0.csv  # Original WVS dataset  
 │  
 ├── 📂 code/                   # Scripts for data processing  
 │    ├── cleaning.R            # Script to clean and process WVS data  
 │  
 ├── README.md                  # Project description and instructions

Data Description

  • Source: The WVS dataset is publicly available at World Values Survey.
  • Processed Data: The clean/ folder contains merged and subsetted datasets used for analysis.
  • Raw Data: The raw/ folder holds the original dataset in .csv format.
  • Documentation: The codebook.pdf explains variable definitions and survey methodology.

Code and Reproducibility

  • Main script: code/cleaning.R cleans and processes the raw WVS data.
  • Requirements:
    • R (version X.X.X)
    • Required packages: tidyverse, haven
  • Running the code:
    1. Place the raw data in the raw/ folder.
    2. Run cleaning.R to generate the processed datasets.

License and Citation

  • This project follows the MIT License.
  • If using this data or code, please cite the original WVS dataset.

Contact

For questions or collaboration, contact: [Your Name] at [Your Email].