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Correlational Research: Definition, Purpose & Examples

Correlational Study Example

❶In correlational research we do not or at least try not to influence any variables but only measure them and look for relations correlations between some set of variables, such as blood pressure and cholesterol level.


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Definitions in Correlational Research
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Correlational research is a type of nonexperimental research in which the researcher measures two variables and assesses the statistical relationship (i.e., the correlation) between them with little or no effort to control extraneous variables.

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This lesson explores, with the help of two examples, the basic idea of what a correlation is, the general purpose of using correlational research.

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Positive correlation: Positive correlation between two variables is when an increase in one variable leads to an increase in the other and a decrease in one leads to a decrease in the other. For example, the . Correlational Research Positive Correlation: when two variables go in the SAME direction. For example, domestic violence and bowling. When bowling goes up, so does domestic violence. Negative Correlation: here the two variables go in DIFFERENT directions. For example, consumption of garlic and dating (now I am making this one up).

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Correlational studies are one of the major types of psychology research. Here's how it works, types, and advantages and disadvantages of each type. Correlations only describe the relationship, they do not prove cause and effect. Correlation is a necessary, but not a sufficient condition for determining causality.