The SAS Macro-Program %AnaQol to Estimate the Parameters of Item Responses Theory Models

Authors: Hardouin, J. -B.¹; Mesbah, M.²

Source: Communications in Statistics: Simulation and Computation, Volume 36, Number 2, March 2007 , pp. 437-453(17)

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Abstract:

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

Document Type: Research article

DOI: http://dx.doi.org/10.1080/03610910601158351

Affiliations: 1: Laboratory of Biomathematics and Biostatistics, Faculty of Pharmaceutical Sciences, University of Nantes, Nantes, France 2: Laboratory of Theoretical and Applied Statistics, University Pierre and Marie Curie-P6, Paris, France

Publication date: 2007-03-01