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Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study

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Statistical Models and Methods for Biomedical and Technical Systems

Part of the book series: Statistics for Industry and Technology ((SIT))

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Abstract

Development of an instrument to measure subjective concepts is a long process involving only marginally effective participation of statisticians. Most of the time, the main work is done by sociologist, psychologist, or health policy decision makers even if statistical methodology is always the main scientific foundation. In this chapter, using the opportunity of a real epidemiological and environmental study, we mainly present the methodology used of construction of a quality of life instrument specific to air pollution disturbance with a large emphasis on its statistical part. These methods are based on classical and modern psychometrical measurement models chosen in order to select questions measuring a few clear unidimensional latent traits (subjective concepts).

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References

  1. Andrich, D., de Jong, J. H. A. L., and Sheridan, B. E. (1997). Diagnostic opportunities with the Rasch model for ordered response categories, In Applications of Latent Trait and Latent Class Models in the Social Sciences (Eds., J. Rost and R. Langeheine), pp. 59–70, Waxmann, Munster.

    Google Scholar 

  2. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests, Psychometrika, 16, 297–334.

    Article  Google Scholar 

  3. Fischer, G. H. and Molenaar, I. W. (1995). Rasch Models, Foundations, Recent Developments and Applications, Springer-Verlag, New York.

    MATH  Google Scholar 

  4. Dorange, C., Chwalow, J., and Mesbah, M. (2003). Analysing quality of life data with the ordinal Rasch model and NLMixed SAS procedure, In Proceedings of the International Conference on Advance in Statistical Inferential Methods “ASIM2003” (Ed., KIMEP Ed, Almaty), pp. 41–73.

    Google Scholar 

  5. Hamon, A. and Mesbah, M. (2002). Questionnaire reliability under the Rasch model, In Statistical Methods for Quality of Life Studies: Design, Measurement and Analysis (Eds., M. Mesbah, B. F. Cole, and M. L. T. Lee), pp. 155–168, Kluwer Academic, Boston.

    Google Scholar 

  6. Hardouin, J. B. and Mesbah, M. (2004). Clustering binary variables in subscales using an extended Rasch model and Akaike information criterion, Communication in Statistics—Theory and Methods, 33, 1277–1294.

    Article  MATH  MathSciNet  Google Scholar 

  7. Hardouin, J.-B. and Mesbah, M. (2007). The SAS macro-programANAQOL to estimate the parameters of item responses theory models, Communication in Statistics—Simulation and Computation, 36, 437–455.

    Article  MATH  MathSciNet  Google Scholar 

  8. Lauritzen, S. L. and Wermuth, N. (1989). Graphical models for association between variables, some of which are qualitative and some quantitative, Annals of Statistics, 17, 31–57.

    Article  MATH  MathSciNet  Google Scholar 

  9. Whittaker, J. (1990). Graphical Models in Applied Multivariate Statistics, First Edition, John Wiley & Sons, New York.

    MATH  Google Scholar 

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© 2008 Birkhäuser Boston

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Deguen, S., Segala, C., Mesbah, M. (2008). Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study. In: Vonta, F., Nikulin, M., Limnios, N., Huber-Carol, C. (eds) Statistical Models and Methods for Biomedical and Technical Systems. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4619-6_25

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