Summary
This article discusses correlation testing, specifically differentiating between Pearson Product Moment and Spearman's rho methods based on data normality, and outlines the application of Spearman's rho using SPSS for non-normal data to assess the relationship between recovery experience and burnout.
Correlation Test in Research
Highlights
Introduction to Correlation Tests
Correlation tests are statistical analyses used to determine the existence, direction, and strength of a relationship between two variables.
Selecting the Appropriate Correlation Test
The choice of correlation test depends on the normality of the data. If data is normally distributed, Pearson Product Moment correlation is used. If the data is not normally distributed, Spearman's rho correlation is applied.
Application of Spearman's rho in Research
In this specific research, as the normality test indicated non-normally distributed data, hypothesis testing was conducted using Spearman's rho correlation with IBM SPSS Statistics version 26. A significance value (p < 0.05) indicates a significant relationship between recovery experience and burnout variables.