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Strictly speaking correlation is not a research method but a way of analysing data gathered by other means. This might be useful, for example, if we wanted to know if there were an association between watching violence on T.V. and a tendency towards violent behavior in adolescence (Variable B = number of incidents of violent behavior Author: Saul Mcleod.
Video: Correlational Research: Definition, Purpose & Examples This lesson explores, with the help of two examples, the basic idea of what a correlation is, the general purpose of using correlational research, and how a researcher might use it in a study.
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. Correlational studies are a type of research often used in psychology as a preliminary way to gather information about a topic or in situations where performing an experiment is not possible. The correlational method involves looking at .
In a correlation study, the researcher or research team does not have control over the variables in the study. The researcher simply measures the data that she finds in the world. This allows her to see if the two variables are correlated -- whether changes in one are associated with changes in the other. A correlation can differ in the degree or strength of the relationship (with the Pearson product-moment correlation coefficient that relationship is linear). Zero indicates no relationship between the two measures and r = or r = .