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A common misconception among students is that correlational research must involve two quantitative variables. However, the defining feature of a correlational study is how it is conducted: both variables are merely measured, and neither is manipulated. This holds true whether the variables are quantitative (e.g., test scores) or categorical (e.g., nationality or occupation). For example, comparing the Rosenberg Self-Esteem Scale scores of American and Japanese college students is a correlational study because the researcher measured, rather than manipulated, the participants' nationalities.

Misconception About Variables in Correlational Research

An illustrative example of a non-experimental, correlational study is John Cacioppo and Richard Petty's 1982 research. They validated their Need for Cognition Scale by comparing the scale scores of university professors with those of factory workers. This is not an experiment because the researchers simply measured pre-existing occupational groups rather than manipulating conditions or assigning participants.

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