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Sagot :
This claim is untrue since correlational research is a sort of non-experimental study in which the researcher analyzes two variables and evaluates the statistical relationship (i.e., correlation) between them with little to no attempt to control unrelated variables.
What Is Correlational Research?
Correlational analysis is a non-experimental research technique that analyzes two variables and assesses their statistical relationship (also known as the correlation) while making little to no attempt to control unrelated variables. Researchers who are interested in statistical correlations between variables typically perform correlational studies rather than experiments for two main reasons. First, they don't think the statistical association is a cause-and-effect relationship. For instance, a researcher might conduct a short extraversion test to a sizable participant pool alongside a longer extraversion test that has already been demonstrated to be reliable in order to assess the validity of the shorter extraversion test.
The researcher may then determine whether there is a significant correlation between the individuals' results on the shorter test and their results on the longer test. There is no independent variable to alter because it is not believed that one test score causes the other. In actuality, this type of research does not use the phrases independent variable and dependent variable.
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