Correlational research is used to determine what aspect of relationships between variables?

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Correlational research is specifically designed to assess the degree of relationship between two or more variables, helping researchers understand how the variables may be related to each other. By measuring correlation, researchers can identify whether increases or decreases in one variable correspond with increases or decreases in another. This type of research does not attempt to ascertain causation; instead, it highlights the strength and direction of relationships.

The focus on the degree of relationship allows for insights into how closely related the variables are—for instance, whether a strong correlation exists (which can be positive or negative) or if there is a weak correlation, indicating little or no relationship. While causation might be suggested by correlation, only through experimental designs can researchers definitively conclude that one variable causes changes in another. Thus, correlational research is pivotal in preliminary investigations where understanding relationships is critical before further analysis can narrow down cause and effect.

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