Titlebook: Statistical Methods for Quality of Life Studies; Design, Measurements Mounir Mesbah,Bernard F. Cole,Mei-Ling Ting Lee Book 2002 Springer-Ve

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懶洋洋

Parametric and Nonparametric Item Response Theory Models in Health Related Quality of Life Measuremeent methodological challenges. This paper discusses issues like unidimensionality, number of answer categories per item, information source and the choice between general and group specific questionnaires. It is argued that item response theory can make a useful contribution to quality of life measu

DAMN

Questionnaire Reliability Under the Rasch Modeloefficient gives an evaluation of a questionnaire’s ability to yield interpretable statements about the construct being measured. There are two classes of models for analyzing unidimensional scales: classical models and Item Response Theory (IRT) models. Classical models are based on a linear decomp

TERRA

內(nèi)疚

Graphical Rasch Modelsframework for analysis of criterion related construct validity and differential item functioning. Item analysis by Graphical Rasch models is illustrated with reanalysis of a summary Health scale counting numbers of experienced symptoms within the last six months.

Plaque

Parametric and Nonparametric Item Response Theory Models in Health Related Quality of Life Measuremeoice between general and group specific questionnaires. It is argued that item response theory can make a useful contribution to quality of life measurement. The parametric Rasch model and the nonparametric Mokken model are viewed as particularly promising.

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Book 2002ife." The workshop was held in the beautiful city of Arradon, South Brittany, France with the main goal of fostering an interdisciplinary forum for discussion of theoretical and applied statistical issues arising in studies of health-related quality of life (HRQoL). Included were biostatisticians, p

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Ornithologist

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