Measurement of Quality of Life VII. Statistical Covariation and Global Quality of Life Data: The Method of Weight-Modified Linear Regression | Zendy

Søren Ventegodt | Zendy; Joav Merrick | Zendy

Open Access

Measurement of Quality of Life VII. Statistical Covariation and Global Quality of Life Data: The Method of Weight-Modified Linear Regression

Author(s) -

Søren Ventegodt,

Joav Merrick

Publication year - 2003

Publication title -

the scientific world journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.453

H-Index - 93

eISSN - 2356-6140

pISSN - 1537-744X

DOI - 10.1100/tsw.2003.89

Subject(s) - quality (philosophy) , computer science , linear regression , quality of life (healthcare) , regression , regression analysis , strengths and weaknesses , population , statistics , econometrics , psychology , mathematics , medicine , environmental health , machine learning , social psychology , philosophy , epistemology , psychotherapist

Existing standard statistical procedures do not seem to fulfill the needs of the researcher in global quality-of-life (QOL) research, because the most interesting question seems to be the exact size of statistical covariations. A method is necessary if we are to isolate the most important factors connected to quality of life among the thousands of possible factors in life. We have developed a new procedure we call "weight-modified linear regression". Unfortunately as demonstrated in the discussion, the procedure is not totally without problems and weaknesses. In spite of the critique, we believe the procedure to be valid for the purpose of estimating the size of the covariation in population studies including psychometric measures of global quality of life. As we need to be certain that the procedure is valid, we hereby invite the scientific community to give us further critique of the method and suggestions for its improvement.

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