Unbiased measurement of health-related quality-of-life

Unbiased measurement of health-related quality-of-life

Authors	B.L. King
Supervisors	F.J. Oort M.A.G. Sprangers
Award date	22-11-2011
ISBN	9789088913402
Number of pages	208
Organisations	Faculty of Medicine (AMC-UvA)
Abstract	Bellinda King-Kallimanis deed onderzoek naar statistische methoden om de kwaliteit van leven beter vast te stellen. Ze keek of er sprake is van onzuiverheid (bias) in bestaande datasets over de kwaliteit van leven en of die er uit te filteren is. King-Kallimanis kwam bias tegen als gevolg van de gebruikte meetmethode. Ze ontwikkelde een methode om deze onzuiverheid beter te onderkennen.
Document type	PhD thesis
Note	Author's name on the cover: B.L. King-Kallimanis.
Language	English
Downloads	Thesis Cover Title pages Contents Chapter 1: Introduction Chapter 2: Structural equation modeling of health-related quality-of-life data illustrates the measurement and conceptual perspectives on response shift Chapter 3: Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients Chapter 4: Assessing measurement invariance of a health-related quality-of-life questionnaire in radiotherapy patients Chapter 5: Testing the assumption of measurement invariance in the SAMHSA Mental Health and Alcohol Abuse Stigma Assessment in older adults Chapter 6: Using structural equation modeling to detect measurement bias and response shift in longitudinal data Chapter 7: Comparison of procedures used to test measurement invariance in longitudinal factor analysis Chapter 8: General discussion Summary Samenvatting Acknowledgments
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Unbiased measurement of health-related quality-of-life