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Journal of Classification
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21-11-2019

Using an Iterative Reallocation Partitioning Algorithm to Verify Test Multidimensionality

Authors: Douglas L. Steinley, M. J. Brusco

Published in: Journal of Classification | Issue 3/2019

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Abstract

This article addresses the issue of assigning items to different test dimensions (e.g., determining which dimension an item belongs to) with cluster analysis. Previously, hierarchical methods have been used (Roussos et al. 1997); however, the findings here suggest that an iterative reallocation partitioning (IRP) algorithm provides interpretively similar solutions and statistically better solutions to the problem. More importantly, it is shown that the inherent nature of locally optimal solutions in the IRP algorithm leads to a method that aids in determining the appropriateness of performing a cluster analysis—a feature that is lacking in the standard hierarchical methods currently in the literature.
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Metadata
Title
Using an Iterative Reallocation Partitioning Algorithm to Verify Test Multidimensionality
Authors
Douglas L. Steinley
M. J. Brusco
Publication date
21-11-2019
Publisher
Springer US
Published in
Journal of Classification / Issue 3/2019
Print ISSN: 0176-4268
Electronic ISSN: 1432-1343
DOI
https://doi.org/10.1007/s00357-019-09347-z

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