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Purpose of Generalizability Analysis
Ralph Bloch edited this page Mar 22, 2023
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- In a performance test, a subject has to perform a number of tasks.
- The performance is rated against established standards.
- Generalizability Analysis provides answers to three questions:
- Would the ranking of test subjects hold, if a different, but comparable set of tasks were used on the same set of subjects? (G-Study)
- Could the task set be used to rank a different, but comparable set of subjects? (G_Study)
- How to optimize cost effectiveness of a study by changing its design and facet of generalization sample sizes to achieve a given level of generalizability? (D-Study). D-Studies are usually based on pilot data.
- the term 'comparable' implies that the samples are drawn randomly from respective universes of admissible candidates and tasks.
Youtubes
- Generalizability Analysis I: Facets & Variance
- Generalizability Analysis II: Systematic Bias
- Generalizability Analysis III: Missing Data, and Replications
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