Collinearity isn't a disease that needs curing
نویسندگان
چکیده
Once they have learnt about the effects of collinearity on output multiple regression models, researchers may unduly worry these and resort to (sometimes dubious) modelling techniques mitigate them. I argue that, extent that problems occur in presence collinearity, are not caused by it but rather common mental shortcuts take when interpreting statistical models can also lead them astray absence collinearity. Moreover, illustrate strategies for dealing with only sidestep perceived problem biasing parameter estimates, reformulating model such a way maps onto different research questions, or both. conclude itself is should be aware what their approaches addressing actually achieve.
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ژورنال
عنوان ژورنال: Meta-psychology
سال: 2021
ISSN: ['2003-2714']
DOI: https://doi.org/10.15626/mp.2021.2548