Validity & Reliability

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Validity & Reliability by Mind Map: Validity & Reliability

1. Validity evidence is important assessment has validity if we can prove that it measures what it is supposed to measure. This is the extent to which a concept, conclusion or measurement is well-founded and corresponds accurately to the real world.

2. Validity: Does the test measure what it is supposed to measure Reliability: Does the testyield the same or similar score rankings (all other factors being equal) consistently?

3. Validity Evidence

4. Content Validity Evidence

5. Construct Validity Evidence

6. Content validity evidence is important because it addresses the match between test questions and the content or subject area they are intended to assess.

7. is established by correlating test scores with an external standard or criterion to obtain a numerical estimate of validity evidence.

8. Concurrent criterion-related validity evidence – is when one measure is substituted for another, such as allowing students to pass a test instead of taking a course. (test scores and criterion measurement are made at the same time or in close proximity to one another)

9. Construct validity evidence is important because it refers to the degree to which a test or other measure assesses the underlying theoretical construct it is supposed to measure.

10. RELIABILITY

11. Reliability is important because it refers to the stability of a test score over repeated administrations. A reliable test will yield stable scores over repeated administrations, assuming the trait being measured has not changed.

12. Test-Retest (Stability)

13. Alternate Forms (Equivalence)

14. Internal Consistency

15. Is a method in measurement obtained by administering the same test twice to the same group of individuals, with a small time interval between testing, and correlating the scores.

16. Is a method of measurement obtained by administering two alternate or equivalent forms of a test to the same group and correlating their scores.

17. Internal consistency is important when a test is to measure a single or unitary trait. This method assesses the consistency of results across items within a test

18. Split-half methods (odd-even) – This method divides a test in two halves and correlates each half with one another.

19. Kuder-Richardson methods – This method determines the extent to which the entire test represents a single, fairly consistent measure of a concept.

20. Criterion-Related Validity Evidence

21. Predictive validity evidence – refers to the usefulness of test scores to predict future performance. (determined by correlating test scores with a criterion measure collected after a period of time has passed)