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The SAS Macro-Program %AnaQol to Estimate the Parameters of Item Responses Theory Models
- DOI:
- 10.1080/03610910601158351
pages 437-453
Available online: 07 Mar 2007Abstract
The analysis of quality of life questionnaires is taking a great importance in clinical research. Usual and general statistical packages like SAS do not allow users to perform classical analysis of items or to estimate parameters of most used models in this specific field: the practitioners must use various specific software to analyze a quality of life scale. In this article, we present an easy to use SAS macro-program that enables SAS users to obtain classical indices, usual graphical representations, and estimation of parameters of five usual Item Response models. We illustrate capabilities of our macro-program by presenting some practical real Quality of Life examples.
Keywords
- Birnbaum model,
- Cronbach alpha,
- Infit,
- IRT,
- Items traces,
- OPLM,
- Outfit,
- Partial credit model,
- Q1 test,
- Quality of life,
- Rasch model,
- Rating scale model,
- SAS
Mathematics Subject Classification
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- Citation information:
- Available online: 07 Mar 2007
Author affiliations
- a Laboratory of Biomathematics and Biostatistics, Faculty of Pharmaceutical Sciences, University of Nantes, Nantes, France
- b Laboratory of Theoretical and Applied Statistics, University Pierre and Marie Curie-P6, Paris, France
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