NCE Licensed Professional Counselor (LPC) Practice Exam

The term for the tendency of scores to move closer to the mean upon retesting is known as the regression effect. This phenomenon occurs when extreme scores on an initial measurement are often followed by scores that are closer to the average upon subsequent testing. This can happen due to random variation, measurement error, or other factors that can influence test scores.

In a practical context, if an individual performs exceptionally well or poorly on a test due to chance, on a second testing, their performance is likely to be more typical and reflect a score that is closer to the average. This is especially relevant in various assessments, where the initial score might not accurately reflect the individual's true ability due to circumstances that cannot be replicated in the same way during the retest.

The other options represent different statistical concepts. Standard deviation refers to the measure of the amount of variation or dispersion in a set of values, while the ceiling effect describes a situation where a measure is unable to assess higher levels of performance because the top of the scale limits it. The floor effect occurs when a measure is unable to assess lower levels of performance due to the bottom of the scale. Understanding these terms helps clarify the unique characteristics of the regression effect as it pertains to retesting scenarios.