Report
Weights That Maximize Reliability under a Congeneric Model for Performance Assessment
Distributed by ERIC Clearinghouse
04/1996
Abstract
In this paper, formulas for computing the weights that maximize the reliability of a test with multiple parts are derived using a congeneric model. A direct derivation for the three-part test and case and a two-step derivation for the n-part case are presented, and results for these two approaches are shown to be consistent for the three-part case. The computations of the formulas are rather simple and are all based on the variance-covariance matrix of the part scores. Two examples are given to show the computations and the usefulness of the formulas. One used data from the American College Testing Program's Work Keys listening assessment for 1,793 examinees and 3 test items. The other used the same data for all six items in the test. These formulas apply not only to performance assessment situations but also to other testing situations where each subtest may contain multiple items. (Contains 2 tables and 11 references.) (Author/SLD)
Details
- Title: Subtitle
- Weights That Maximize Reliability under a Congeneric Model for Performance Assessment
- Creators
- Tianyou Wang
- Resource Type
- Report
- Publisher
- Distributed by ERIC Clearinghouse
- Number of pages
- 17 pages
- Comment
- ERIC Number: ED401324
- Language
- English
- Date published
- 04/1996
- Academic Unit
- Center for Advanced Studies in Measurement and Assessment
- Record Identifier
- 9984632147702771
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