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Questions and Answers
Match the types of reliability with their descriptions:
Inter-item reliability = Association of answers to set of questions designed to measure the same concept Parallel form of Reliability = Splitting the test into two parts using the odd-even strategy Split-Half Reliability = Method especially appropriate for very long tests Inter observer Reliability = Correspondence between measures made by different observers
Match the following terms with their definitions:
Equivalence Reliability = Administering the same questionnaire at different times to test consistency Validity = Accuracy of measurement Reliability = Consistency of measurement Cronbach's alpha = Statistic used to measure inter-item reliability
Match the following concepts with their roles in testing:
Validity = Pertains to accuracy of measurement Reliability = Prerequisite for measurement of validity Equivalence Reliability = Indicates score variation from testing session errors Split-Half Reliability = Represents reliability of a test only half as long as the actual test
Match the types of reliability measures with their scenarios:
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Match the type of validity with its description:
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Match the types of reliability with their descriptions:
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Match the methods used to assess reliability with their definitions:
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Match the types of validity/reliability with their examples:
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Match the type of validity with its description:
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Match the type of validity with its focus:
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Match the aspect of validity with its definition:
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Match the type of validity assessment with its method:
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Match each type of validity with its importance in research:
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Match each type of validity with an example:
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Study Notes
Validity
- Validity refers to the degree to which a test or measurement accurately measures what it claims to measure.
- It assesses whether a test actually measures the underlying construct or concept it purports to measure.
- Types of validity include:
- External validity: enables generalization of findings to other people, time, and contexts.
- Internal validity: ensures a causal relationship between variables being studied.
- Content validity: ensures the test adequately covers a representative sample of the domain.
- Face validity: refers to the appearance or perception of validity.
- Criterion validity: assesses whether a test is a good predictor of a specific outcome.
- Predictive validity: measures the ability of a test to predict a future outcome.
- Convergent validity: assesses the correlation between different measures of the same concept.
- Discriminant validity: assesses the ability of a test to distinguish between different concepts.
- Ecological validity: measures the degree to which a test reflects real-life situations.
- Concurrent validity: measures the correlation between a test and a criterion measure.
Reliability
- Reliability refers to the consistency, stability, or repeatability of a measurement instrument or test.
- It assesses the degree to which the same measurement, under the same conditions, yields consistent results over time.
- Types of reliability include:
- Inter-item reliability (internal consistency): measures the association between answers to a set of questions.
- Parallel form reliability: measures the correlation between different forms of a test.
- Inter-observer reliability: measures the correspondence between measures made by different observers.
- Test-retest reliability: measures the consistency of scores over time.
- Equivalence reliability: measures the similarity between different forms of a test.
Relationship between Validity and Reliability
- Reliability is a necessary but not sufficient condition for validity.
- Validity pertains to the accuracy of measurement, while reliability pertains to the consistency of measurement.
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Description
Understand the concepts of validity and reliability in research, focusing on the importance of validity in accurately measuring constructs or concepts. Learn about different types of validity assessments such as content, criterion-related, and construct validity.