Psychometric Testing & Interpretation Flashcards
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Read the first 7 Psychometric Testing & Interpretation flashcards as text
Which statistical concept describes the tendency of extreme scores on a first testing to move closer to the mean on a second testing?
Answer: Regression to the mean
Regression to the mean occurs because extreme scores partially reflect measurement error, which is random and unlikely to repeat in the same direction.
The McCarron-Dial System (MDS) is primarily used in vocational evaluation to assess:
Answer: Neuropsychological and behavioral functioning for work potential
The MDS evaluates neuropsychological, emotional, integration-coping, motor, and verbal-cognitive factors to predict vocational functioning.
Content validity is best established through:
Answer: Expert review to confirm items represent the domain being measured
Content validity is demonstrated when subject-matter experts confirm that test items adequately sample the full range of the construct being measured.
In the context of the APTICOM system, what does the instrument measure?
Answer: Aptitudes and interests aligned with the Dictionary of Occupational Titles worker trait requirements
APTICOM assesses multiple aptitudes and vocational interests matched to the DOT's worker trait group requirements for occupational exploration.
A normal distribution is described as platykurtic. This means the distribution is:
Answer: Flatter than a normal curve with lighter tails
A platykurtic distribution is flatter and broader than the normal bell curve, with fewer scores near the mean and lighter tails.
Which validity type is demonstrated when a new vocational test correlates strongly with an established, accepted measure of the same construct?
Answer: Convergent validity
Convergent validity is evidenced when a new measure correlates highly with existing measures that assess the same or theoretically related constructs.
When a vocational evaluator reports a confidence interval of 90–110 for a client's IQ score, this means:
Answer: There is a specified probability (e.g., 95%) that the true score falls within this range
A confidence interval represents the range within which the client's true score is likely to fall, accounting for measurement error at a given confidence level.
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