Browse by author
Lookup NU author(s): Professor Allan Colver
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Both item response theory and structural equation models are useful in the analysis of ordered categorical responses from health assessment questionnaires. We highlight the advantages and disadvantages of the item response theory and structural equation modelling approaches to modelling ordinal data, from within a community health setting. Using data from the SPARCLE project focussing on children with cerebral palsy, this paper investigates the relationship between two ordinal rating scales, the KIDSCREEN, which measures quality-of-life, and Life-H, which measures participation. Practical issues relating to fitting models, such as non-positive definite observed or fitted correlation matrices, and approaches to assessing model fit are discussed. item response theory models allow properties such as the conditional independence of particular domains of a measurement instrument to be assessed. When, as with the SPARCLE data, the latent traits are multidimensional, structural equation models generally provide a much more convenient modelling framework.
Author(s): Titman AC, Lancaster GA, Colver AF
Publication type: Article
Publication status: Published
Journal: Statistical Methods in Medical Research
Year: 2013
Pages: 1-33
Print publication date: 09/10/2013
ISSN (print): 0962-2802
ISSN (electronic): 1477-0334
Publisher: Sage Publications
URL: http://dx.doi.org/10.1177/0962280213504177
DOI: 10.1177/0962280213504177
PubMed id: 24108271
Altmetrics provided by Altmetric