SPSS Part 7: Correlation Analysis & Assumptions (Normality, Linearity, Homoscedasticity)
In this video, we cover correlation analysis using IBM SPSS, focusing on the Pearson's r coefficient. We explain the key assumptions for correlation, such as normality, linearity, and homoscedasticity, and show how to check them. Using a solar perception survey dataset (with variables like cost, environmental concern, risk perception, and intention to adopt solar energy), we demonstrate how to interpret results. We also explore partial correlation, controlling for variables like age. The video provides clear steps for performing and interpreting correlation analysis in SPSS, making it ideal for researchers and students looking to improve their data analysis skills.