Understanding Generalizability Analysis

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'Generalizability Analysis' is a form of 'Analysis of Variance' that can be employed to determine the reliability of a task performance test. Its purpose is to provide an estimate for how repeatably a test ranks the performance of test takers under comparable circumstances.

It is important to understand the terms 'task', 'score', and 'rank' as they are used in this context.

G_String performs Generalizability Analysis in three stages:

1. It leads users through the data entry process step-by-step

2. It estimates the variance component associated with each design factor

3. It calculates the 'G-Coefficients', and permits 'D-Analysis'

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Footnote:

In this discussion we focus on the use of Generalizability Analysis in performance assessment, although it has many other applications.