Using Quasi-variance to Communicate Sociological Results from Statistical Models
Using Quasi-variance to Communicate Sociological Results from Statistical Models
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DOI：
10.1177/0038038507084830
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发表时间：
2007-12
期刊：
影响因子：
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通讯作者：
V. Gayle;P. Lambert
中科院分区：
文献类型：
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作者：
V. Gayle;P. Lambert
本文介绍了社会学的观众"准方差“作为解决”参考类别问题“。参考类别问题与解释的分类解释变量的影响在统计模型，特别是社会学的应用，其中分类解释变量是非常常见的。本文介绍了一个选择的例子（使用多元和逻辑回归）来说明和评论社会学模型的准方差计算。此外，本文还增加了作者提供的在线材料，旨在帮助社会研究人员使用流行的数据分析软件包SPSS和Stata.Author的结论，准方差方法提供了一个有吸引力的和可行的解决方案，可以，而且应该，社会学研究人员日常操作的参考类别问题的实践和应用这一技术。
This article introduces a sociological audience to `quasi-variances' as a solution to the `reference category problem'.The reference category problem is associated with the interpretation of the effects of categorical explanatory variables within statistical models, and is especially relevant to sociological applications, where categorical explanatory variables are very common. This article presents a selection of examples (using multiple and logistic regression) to illustrate and comment on quasi-variance calculations for sociological models. In addition, the article is augmented with online materials provided by the authors, which aim to help social researchers practise and apply this technique using the popular data analysis software packages SPSS and Stata.The authors conclude that quasi-variance methods offer an attractive and practicable solution to the reference category problem that can, and should, be routinely operationalized by sociological researchers.