In a research context, what does a score of -0.75 suggest?

A score of -0.75 indicates a strong negative correlation between two variables. In research contexts, correlation coefficients range from -1 to 1. The closer the value is to -1, the stronger the negative relationship. This means that as one variable increases, the other variable tends to decrease, and vice versa.

A score of -0.75 suggests that there is a significant, inversely related pattern between the two variables being measured. Researchers rely on these correlations to understand potential relationships in their data, making a strong negative correlation indicative of a noteworthy trend that could be relevant for further investigation or practical application.

In contrast, a score of 0 would indicate no correlation, suggesting that the two variables do not have a direct relationship. A weak correlation would be closer to 0, reflecting a minimal relationship where changes in one variable do not predict changes in another effectively. Lastly, a strong positive correlation, indicated by a score close to 1, shows that as one variable increases, the other also increases, which is the opposite of what a score of -0.75 implies.