Data Collection: Collecting quantitative data relevant to the variables being studied. Choosing the Right Statistical Test: Depending on the type of data, choosing the appropriate correlation test (e.g., Pearson, Spearman). Calculating the Correlation Coefficient: Using statistical software or calculations to determine the correlation coefficient, which ranges from -1 to 1. Interpreting Results: Analyzing the results to understand the strength (weak, moderate, strong) and direction (positive, negative) of the relationship.