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Question: Identify and explain two of the three categories of validity traditionally used by measurement specialists.

16 Oct 2022,4:46 PM

 

According to our textbook, validity is a judgment or estimate of how well a test measures what it claims to measure. Answer the following questions as they related to validity (5 points each):

  1. Identify and explain two of the three categories of validity traditionally used by measurement specialists.
  2. Why do test developers who publish tests face challenges when maintaining content validity of the tests?
  3. How is construct validity verified? Provide at least 3 ways construct validity is verified.
  4. Briefly explain test bias and why it is a problem.
  5. Briefly explain the halo effect and why it is a problem.

Expert answer

 

There are three categories of validity that measurement specialists use to judge how well a test measures what it is supposed to measure. They are content validity, criterion-related validity, and construct validity.

 

Content validity is a judgment of how well the content of a test represents the construct being measured. In order to have content validity, a test must cover all important aspects of the construct. For example, a math test would be invalid if it only contained questions about addition and subtraction but not geometry or algebra.

 

Criterion-related validity is a judgment of how well the scores on a test predict some other behavior or outcome that is important. There are two types of criterion-related validity: concurrent and predictive. Concurrent validity is when the criterion being predicted is measured at the same time as the test. For example, if we wanted to know how well a new math achievement test predicts students’ grades in math class, we would administer the test and measure students’ grades at the same time. Predictive validity is when the criterion being predicted is measured at a later time than the test. For example, if we wanted to know how well a new math achievement test predicts students’ grades in math class next semester, we would administer the test now and measure students’ grades next semester.

 

Construct validity is a judgment of how well a test measures a hypothetical construct. A hypothetical construct is something that cannot be directly observed but can only be inferred from observable behaviors. For example,

 

intelligence is a hypothetical construct because it cannot be directly observed. However, we can infer that someone is intelligent if they are able to solve complex problems quickly or remember large amounts of information. There are three types of construct validity: convergent, discriminant, and nomological. Convergent validity is when two measures that are supposed to measure the same construct produce similar results. For example, if we have a new intelligence test and an old intelligence test, we would expect them to produce similar scores for each person because they are both measuring intelligence. Discriminant validity is when two measures that are supposed to measure different constructs produce different results. For example, if we have a test of math ability and a test of reading ability, we would expect people who do well on the math test to score lower on the reading test and vice versa because they are measuring different constructs. Nomological validity is when a measure correlates with other measures of constructs

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