AP PSYCHOLOGY

Detailed explanation-1: -A correlational research design investigates relationships between variables without the researcher controlling or manipulating any of them. A correlation reflects the strength and/or direction of the relationship between two (or more) variables. The direction of a correlation can be either positive or negative.

Detailed explanation-2: -Correlational research designs measure two or more relevant variables and assess a relationship between or among them.

Detailed explanation-3: -Controlled experiments establish causality, whereas correlational studies only show associations between variables. In an experimental design, you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.

Detailed explanation-4: -Correlational research can help us understand the complex relationships between a lot of different variables. If we measure these variables in realistic settings, then we can learn more about how the world really works.

Detailed explanation-5: -Researchers use it to measure and spot historical patterns between two variables. A correlational study may show a positive relationship between two variables, but this can change in the future. Dynamic: The patterns between two variables from correlational research are never constant and are always changing.