Ratio variables provide a measure of distance and magnitude, due to a "true zero"
Ratio variables can be continually broken down into smaller increments and more precise and accurate measures of effect can be yielded. This is because ratio data possesses a "true zero." With a "true zero," researchers are able to test for effects of both distance and magnitude.
Researchers should aspire towards using ratio level outcomes because they increase statistical power, decrease the needed sample size, and give more precise and accurate measures of effect size.
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