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 accessAbstract
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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Citations
Cites
Health Measurement Scales: A Practical Guide to Their Development and Use
Streiner, D. L., Norman, G. R., & Cairney, J. (1989) · Cited by 9,595
Statistical Theories of Mental Test Scores
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,022
Probabilistic Models for Some Intelligence and Attainment Tests
(1961) · Information and Control · doi:10.1016/s0019-9958(61)80061-2 · Cited by 6,939
Applying the Rasch Model: Fundamental Measurement in the Human Sciences
Bond, T. G., & Fox, C. M. (2003) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2003.tb01103.x · Cited by 4,492
(2000) · Cited by 4,106
Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV
Roy, H. L. L., Lecam, L., & Neyman, J. (1969) · Revue de l'Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1402306 · Cited by 2,835
Effect Sizes for Interpreting Changes in Health Status
Kazis, L. E., Anderson, J. J., & Meenan, R. F. (1989) · Medical Care · doi:10.1097/00005650-198903001-00015 · Cited by 2,401
Quality of life and pharmacoeconomics in clinical trials
Pater, J. (1996) · Controlled Clinical Trials · doi:10.1016/s0197-2456(97)82191-5 · Cited by 2,395
Health Measurement Scales: A Practical Guide to Their Development and Use
Vogelzang, J. L. (2015) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2015.03.007 · Cited by 2,337
Handbook of Modern Item Response Theory
(1997) · Springer eBooks · doi:10.1007/978-1-4757-2691-6 · Cited by 2,305
Cited by
Tennant, A., & Conaghan, P. G. (2007) · Arthritis Care & Research · doi:10.1002/art.23108 · Cited by 1,638
Self-citationCavaletti, G., Cornblath, D. R., Merkies, I. S. J., Postma, T. J., Rossi, E., Frigeni, B., Alberti, P., Bruna, J., Velasco, R., Argyriou, A. A., et al. (2013) · Annals of Oncology · doi:10.1093/annonc/mds329 · Cited by 293
Patient reported outcomes: looking beyond the label claim
Doward, L. C., Gnanasakthy, A., & Baker, M. G. (2010) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-8-89 · Cited by 162
Øksnes, M., Bensing, S., Hulting, A.-L., Kämpe, O., Hackemann, A., Meyer, G., Badenhoop, K., Betterle, C., Parolo, A., Giordano, R., et al. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-1901 · Cited by 99
Bejerholm, U., & Lundgren-Nilsson, Å. (2015) · Health and Quality of Life Outcomes · doi:10.1186/s12955-015-0327-0 · Cited by 39
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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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.