A Comparison of Five Variable Weighting Procedures
A Comparison of Five Variable Weighting Procedures
复制标题
五种可变加权程序的比较
DOI：
10.1177/001316447203200208
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发表时间：
1972
影响因子：
2.7
通讯作者：
John G. Claudy
中科院分区：
文献类型：
--
作者：
John G. Claudy
在从中抽取样本的总体中的多重相关系数的估计，并且样本β权重被视为总体β权重的估计。人们通常感兴趣的是这些总体参数，而不是样本统计量本身。尽管这一技术被如此广泛地使用，但与20年前的情况相比，情况似乎没有什么改善。当时，库雷顿（1950）写道：在教育研究中，任何其他统计技术都像多重相关技术那样被如此普遍和广泛地误用和误解，这是值得怀疑的。dquo;也没有任何理由期望这种情况有所改善，事实上，标准计算机回归程序的现成可用性可能会使情况变得更糟。所用数据的性质或所用样本的大小往往不能令人满意地进行多元回归。
an estimate of the multiple correlation coefficient in the population from which the sample was drawn, and the sample beta weights are taken as estimates of the population beta weights. It is these population parameters which are usually of interest, and not the sample statistics in and of themselves. In spite of the fact that this technique is so widely used, the situation seems little improved from what it was 20 years ago when Cureton (1950) wrote: &dquo;It is doubtful that any other statistical techniques have been so generally and widely misused and misinterpreted in educational research as have those of multiple correlation (p. 690).&dquo; Nor is there any reason to expect improvement in this situation, and indeed, the ready availability of standard computer regression programs may be making it worse. All too often the nature of the data used, or the size of the sample employed, is not satisfactory for multiple regression purposes.