This repository houses a comprehensive and dynamic data analysis project that delves into two decades of the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The project offers an in-depth exploration of over 2.1 million data entries, providing a rich historical perspective on these significant educational assessments.
- Data Source: All data has been meticulously gathered from the official TIMSS and PIRLS websites.
- Time Frame: This project encompasses a detailed analysis spanning 20 years, capturing evolving trends and patterns in global education.
- Volume: Analyzing a massive dataset of 2.1 million entries, the project offers a thorough examination of TIMSS and PIRLS outcomes.
- Comparative Analysis: Evaluate and compare educational performances of different countries in TIMSS and PIRLS.
- Gender Gap Study: Analyze the performance differences between male and female students.
- Temporal Analysis: Assess changes in educational achievements over different assessment years.
- Country-specific Insights: Deep dive into individual country performances with a focus on notable cases like Iran and Singapore.
- Advanced Statistical Methods: Utilize various statistical approaches including hypothesis testing, cluster analysis, and factor analysis for a robust analysis of the data.
DataAnalysisProject.Rmd: The main R Markdown file.Files/: Directory containing R codes, HTML outputs and supplementary files.Data/: The raw data files used in this analysis, sourced directly from the official studies.
- R Language: For data manipulation, analysis, and visualization.
- R Markdown: For integrating code and findings in a comprehensible format.
To run the R Markdown file locally, ensure you have R and RStudio installed. Clone this repository and open TIMSS_&_PIRLS_Analysis.Rmd in RStudio.
git clone https://github.com/MatinKhajavi/TIMSS-and-PIRLS-Data-Analysis.git
cd TIMSS-and-PIRLS-Data-AnalysisContributions to this project are welcome. Please fork the repository and submit a pull request with your proposed changes.
This project is open source and available under the MIT License.