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首页> 外文期刊>ScientificWorldJournal >Measurement of Quality of Life VII. Statistical Covariation and Global Quality of Life Data: The Method of Weight-Modified Linear Regression
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Measurement of Quality of Life VII. Statistical Covariation and Global Quality of Life Data: The Method of Weight-Modified Linear Regression

机译:vii生活质量的测量。统计协变量和全球生命质量数据:重量修改线性回归的方法

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摘要

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.
机译:现有的标准统计程序似乎并不符合研究人员在全球生活质量(QOL)研究中的需求,因为最有趣的问题似乎是统计协变量的确切规模。如果我们要将最重要的因素隔离为生活中数千个可能的因素之间的生活质量的最重要因素是必要的。我们开发了一个我们调用的新程序?体重修改的线性回归?不幸的是,如讨论中所示,程序并不完全没有问题和缺点。尽管有批评,我们认为该程序有效地估计人口研究中的协变量,包括全球生活质量的心理测量措施。由于我们需要确定程序是有效的,我们在此邀请科学界,让我们进一步提出对其改进的方法和建议。

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