Data Analysis using Factor analysis and Linear Regression
The repository provides detailed analysis using factor analysis and linear regression on a dataset related to the dimensions of perfectionism. This type of analysis is useful for understanding underlying factors in complex datasets and predicting outcomes based on identified relationship that requires latent variables and making predictions.
Jamovi
EFA
Microsoft Word
This project explores data analysis techniques, specifically focusing on factor analysis and linear regression, to uncover underlying patterns and relationships within the dataset. By employing factor analysis, we reduce the dimensionality of the data, identifying key variables that significantly impact the outcome. Following this, linear regression is utilized to model and predict relationships between the dependent and independent variables, providing insights into the data’s structure and enhancing predictive capabilities.