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Validity and Reliability (1)
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Validity and Reliability (1)
Validity: is the most important consideration in developing and evaluating instruments.
- It was defined as a way an instrument was measured.
- Researchers cannot use the same instrument with different people.
- There are no direct ways of measurement.
- Researchers cannot use the same instrument with different people.
- It was defined as a way an instrument was measured.
Construct underrepresentation: assesment that is too narrow and fails to include important dimensions of the construct.
- Construct irrelevant variance: when test scores are affected by variables that are extraneous to the construct.
Validation: gathering evidence to support a particular interpretation of test scores.
- Evidence based on test content: involves the content of the test, it should represent a balanced sample of relevant knowledge.
- Content relevant validity evidence: it is focused on achievement tests.
- Face validity: connection with a test content.
- Content relevant validity evidence: it is focused on achievement tests.
- Concurrent validity: relationship between scores and criterion scores obtained at the same time.
- Predictive validity: relationship between scores and criterion scores available at a future time.
- Choosing a criterion: 1. The procedure depends on the relevance. 2. it should be reliable. 3. It should be free from bias.
- Predictive validity: relationship between scores and criterion scores available at a future time.
- Evidence based on test content: involves the content of the test, it should represent a balanced sample of relevant knowledge.
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- Mind Map on Validity and Reliability (1), created by Keyla Alvarez on 29/02/2020.
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- Keyla Alvarez
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