کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
955850 928297 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Residualization is not the answer: Rethinking how to address multicollinearity
موضوعات مرتبط
علوم انسانی و اجتماعی روانشناسی روانشناسی اجتماعی
پیش نمایش صفحه اول مقاله
Residualization is not the answer: Rethinking how to address multicollinearity
چکیده انگلیسی

Here I show that a commonly used procedure to address problems stemming from collinearity and multicollinearity among independent variables in regression analysis, “residualization”, leads to biased coefficient and standard error estimates and does not address the fundamental problem of collinearity, which is a lack of information. I demonstrate this using visual representations of collinearity, hypothetical experimental designs, and analyses of both artificial and real world data. I conclude by noting the importance of examining methodological practices to ensure that their validity can be established based on rational criteria.


► The effects of collinearity on multiple-regression models are demonstrated.
► Residualization leads to biased coefficient and standard error estimates.
► Residualization’s effects are demonstrated using artificial and real world data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Social Science Research - Volume 41, Issue 6, November 2012, Pages 1379–1386
نویسندگان
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