期刊
CONFLICT MANAGEMENT AND PEACE SCIENCE
卷 22, 期 4, 页码 327-339出版社
PEACE SCIENCE SOC INT
DOI: 10.1080/07388940500339167
关键词
regression analysis; linearity; data analysis; rule of three; monotonicity
Many social scientists believe that dumping long lists of explanatory variables into linear regression, probit, logit, and other statistical equations will successfully control for the effects of auxiliary factors. Encouraged by convenient software and ever more powerful computing, researchers also believe that this conventional approach gives file true explanatory variables the best chance to emerge. The present paper argues that these beliefs are false, and that without intensive data analysis, linear regression models are likely to be inaccurate. Instead, a quite different and less mechanical research methodology is needed, one that integrates contemporary powerful statistical methods with deep substantive knowledge and classic data-analytic techniques of creative engagement with the data.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据