Journal article
Weights That Maximize Reliability Under a Congeneric Model
Applied psychological measurement, Vol.22(2), pp.179-187
06/01/1998
DOI: 10.1177/01466216980222007
Abstract
In many measurement situations, it is often desirable to weight different scores to form a composite score. The desire to maximize the reliability of the composite score is an important factor in determining the weights. Current procedures are computationally complex and usually require information, not always readily available, about the reliability of each part score. Equations for computing weights that maximize the reliability of a test with multiple parts were derived using a congeneric model. A direct derivation for the three-part case and a two-step derivation for the n-part case are presented, and results for these two approaches were shown to be consistent for the three-part case. The computations are relatively simple and are based on the variance-covariance matrix of the part scores. Two examples are given to show the computations and the usefulness of the equations.
Details
- Title: Subtitle
- Weights That Maximize Reliability Under a Congeneric Model
- Creators
- Tianyou Wang - ACT
- Resource Type
- Journal article
- Publication Details
- Applied psychological measurement, Vol.22(2), pp.179-187
- DOI
- 10.1177/01466216980222007
- ISSN
- 0146-6216
- eISSN
- 1552-3497
- Language
- English
- Date published
- 06/01/1998
- Academic Unit
- Center for Advanced Studies in Measurement and Assessment
- Record Identifier
- 9984627209902771
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