When correlational designs are used to examine the underlying structure of a measure or a set of measures,it is known as

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Factor analysis is a statistical technique used to examine the underlying structure of a measure or a set of measures in correlational designs. It allows researchers to reduce a large number of variables into a smaller number of common factors or dimensions. Meta-analysis involves combining and analyzing results from multiple studies, case analysis involves examining the details of a particular case, and structural analysis involves examining the relationships between variables in a complex system.

When Correlational Designs Are Used to Examine the Underlying Structure