What is one of the primary functions of converting raw scores to $z$ scores in statistical analysis?

When analyzing data from a psychological study, converting raw test results to $z$ scores is useful because it provides a quantitative method for defining outliers and a standardized way to describe the exact location of an individual's score within a distribution.

Match each function of $z$ scores with the psychological research scenario that best illustrates its usefulness.

Arrange the steps in the logical process a researcher follows to analyze raw psychological data and identify which specific scores function as quantitative outliers.

In the context of psychological research, which of the following is an important function of $z$ scores beyond locating individual scores and defining outliers?

In psychological research, converting raw scores to $z$ scores serves several important functions. Match each function with the description that explains why it is useful for data analysis.

In psychological research, when a researcher must evaluate whether a specific participant's score is an extreme anomaly requiring exclusion, converting that raw score to a $z$ score is helpful because it provides a(n) _____ method for defining outliers.

A clinical psychologist wants to compare a patient's score on a new depression scale (where the mean is $50$ and the standard deviation is $10$) to their score on an anxiety scale (where the mean is $100$ and the standard deviation is $15$). Converting both raw scores into $z$ scores allows the psychologist to determine on which scale the patient's symptom severity is higher relative to each scale's normative distribution.

A developmental psychologist is analyzing cognitive flexibility and working memory scores for three children to identify potential outliers for further clinical screening. The normative parameters for the two standardized tests are:

• Cognitive Flexibility Test: Mean ($\mu$) = $100$, Standard Deviation ($\sigma$) = $15$
• Working Memory Test: Mean ($\mu$) = $50$, Standard Deviation ($\sigma$) = $8$

The children's raw scores are as follows:

• Child A: Cognitive Flexibility = $$1

A clinical psychologist is evaluating four patients' performance profiles across different standardized neuropsychological tests to prioritize them for a cognitive training intervention. Because the tests use completely different scales, the psychologist must use $z$ scores to make an equitable, standardized comparison. The normative population parameters (Mean, $\mu$; Standard Deviation, $\sigma$) and the patients' raw scores are as follows:

• Patient A (Attention Span Test): Raw Score =