Pro-Environmental Attitude Analysis

This is a study to measure the pro-environmental attitude among the college students of India.
In this study, I have done extensive research, data analysis and have applied several statistical and ML tools to draw necessary inference about the pro-environmental attitude inclination among the students in my sample. I used these results to provide important suggestion for improvement of environmental education among school students.
I have learnt several techniques and better approaches to data analysis, while doing this project-

• Revisited and understood better the unsupervised learning techniques of PCA and hierarchial clustering.
• Several similarity based distance metric that can be used for hierarchial clustering(for example- Jaccard Distance, Cosine Similarity, Lp-Norm Distance)
• Exploratory and confirmatory factor analysis.
• Reliability Analysis of Survey Data.
• Item Response Theory Analysis.
• forcats for efficient handling of categorical data.
• Advanced functional programming skills with purrr.
• I have developed several wrapper functions for beautiful visualization of functions like lm, prcomp, alpha.
• factoMineR for factor and principal component analysis.
• psych for psychological data analysis.
• Better Data Visualization and presentation techniques.

All the .R files contain the codes that I wrote while exploring the data on my own, the names of these files are pretty self-explanatory. The final code that made it to the study are written in the .Rmd files. The study is available here. The docs repo contains the rendered book files and the _bookdown_files repo contains the figures and plots used throughout the study. The data collected is available in the PEAData.csv file.