Certified Advanced Alcohol and Drug Counselor (CAADC) Practice Exam

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An increase in one measurement corresponding to increases in another measurement is an example of a:

  1. Positive correlation

  2. Correlative cause

  3. Positive cause

  4. Primary cause

The correct answer is: Positive correlation

A positive correlation refers to a statistical relationship between two variables where an increase in one variable corresponds with an increase in another variable. This means that as one set of data rises, so does the other, indicating a direct relationship. This concept is critical in research and data analysis, as it helps to identify patterns and predict trends based on observed data. In this context, the other options do not accurately describe the relationship between the measurements. Correlative cause implies a direct cause-and-effect relationship, which does not necessarily follow from observing a positive correlation. Positive cause and primary cause suggest a more definitive influence of one variable over another rather than a mere association. Thus, understanding that an increase in one measurement leading to an increase in another is precisely characterized as a positive correlation is fundamental for interpreting data and drawing valid conclusions in the field of psychology or counseling.