Accuracy of mixture item response theory models for identifying sample heterogeneity in patient-reported outcomes: a simulation study-Reference-Cited by-同舟云学术

Accuracy of mixture item response theory models for identifying sample heterogeneity in patient-reported outcomes: a simulation study

Published:2022-06-18 Issue:12 Volume:31 Page:3423-3432
ISSN:0962-9343
Container-title:Quality of Life Research
language:en
Short-container-title:Qual Life Res

Author:

Sajobi Tolulope T.^ORCID,Lix Lisa M.,Russell Lara,Schulz David,Liu Juxin,Zumbo Bruno D.,Sawatzky Richard

Funder

Canadian Institutes of Health Research

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Link

https://link.springer.com/content/pdf/10.1007/s11136-022-03169-0.pdf

Reference61 articles.

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3. Gibbons, E., Black, N., Fallowfield, L., Newhouse, R., & Fitzpatrick, R. (2016). Essay 4: Patient-reported outcome measures and the evaluation of services. In R. Fitzpatrick & H. Barratt (Eds.), Challenges, solutions and future directions in the evaluation of service innovations in health care and public health. NIHR Journals Library.

4. Lord, F. M. (1980). Applications of item response theory to practical testing problems. Lawrence Erlbaum Associates.

5. Muthén, B. O. (1989). Latent variable modeling in heterogeneous populations. Psychometrika, 54, 557–585.