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  • 标题:Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes
  • 本地全文:下载
  • 作者:Mark J Atkinson ; Richard D Lennox
  • 期刊名称:Health and Quality of Life Outcomes
  • 印刷版ISSN:1477-7525
  • 电子版ISSN:1477-7525
  • 出版年度:2006
  • 卷号:4
  • 期号:1
  • 页码:65
  • DOI:10.1186/1477-7525-4-65
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:A recently published article by the Scientific Advisory Committee of the Medical Outcomes Trust presents guidelines for selecting and evaluating health status and health-related quality of life measures used in health outcomes research. In their article, they propose a number of validation and performance criteria with which to evaluate such self-report measures. We provide an alternate, yet complementary, perspective by extending the types of measurement models which are available to the instrument designer. During psychometric development or selection of a Patient Reported Outcome measure it is necessary to determine which, of the five types of measurement models, the measure is based on; 1) a Multiple Effect Indicator model, 2) a Multiple Cause Indicator model, 3) a Single Item Effect Indicator model, 4) a Single Item Cause Indicator model, or 5) a Mixed Multiple Indicator model. Specification of the measurement model has a major influence on decisions about item and scale design, the appropriate application of statistical validation methods, and the suitability of the resulting measure for a particular use in clinical and population-based outcomes research activities.
  • 关键词:Measurement Model ; Latent Construct ; Indicator Model ; Measurement Construct ; Scientific Advisory Committee
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