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Cited by 448

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Application of Rasch Analysis in the Development and Application of Quality of Life Instruments

Open access
Tennant, Alan, McKenna, Stephen P., Hagell, Peter·2004·Value in Health

Abstract

This paper discusses recent advances that have been made in the field of psychometrics, specifically, the application of Rasch analysis to the instrument development process. It emphasizes the importance of assessing the fundamental scaling properties of an instrument prior to consideration of traditional psychometric indicators. The paper introduces Rasch analysis and shows how it has been applied in the development of needs-based measures in order to ensure that they provide unidimensional measurement. By ensuring that scales are based on the same measurement model and that they fit the Rasch model it is possible for QoL scores to be compared across diseases by means of cocalibration and item banking.

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Crossref · 10.1111/j.1524-4733.2004.7s106.x

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Metadata

Authors
Tennant, A., McKenna, S. P., & Hagell, P.
Venue
Value in Health
Publisher
Elsevier BV
Published
2004-09
Volume
7
Pages
S22-S26
ISSN
1098-3015 (ISSN-L)
OpenAlex
W2065401305
Cited by
448
References
43
FWCI
20.43
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Application of Rasch Analysis in the Development and Application of Quality of Life Instruments. https://app.cochat.ai/papers/10.1111/j.1524-4733.2004.7s106.x
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Tennant, A., McKenna, S. P., & Hagell, P. (2004). Application of Rasch Analysis in the Development and Application of Quality of Life Instruments. Value in Health. https://doi.org/10.1111/j.1524-4733.2004.7s106.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.