[Eeglablist] How to Interpret Insignificant Coefficients of Regression Analysis
rapela at ucsd.edu
Wed Jun 14 14:25:38 PDT 2017
The answer to your question depends on what you want to learn from the
a. If I were interested in learning how a set of independent measures affect a
dependent one, I would report both significant and insignificant coefficients.
In this way the reader of my article would know the impact (and lack of impact)
of each of the independent variables.
b. If I ware interested in knowing what is the best model for my dependent
variable, I would start with a model with a large number of independent
variables, and their interactions, use some model selection criterion (e.g.,
stepwise model selection with the Akaike information criterion), and only
report the variables of the selected model.
On Wed, Jun 14, 2017 at 06:10:28PM +0000, Iman Mohammad-Rezazadeh wrote:
> Hi EEGLABers,
> This question is for mostly stats guru:
> If we develop a regression model (logistic, GLM, ...) and some of the
> coefficient of the for the model is insignificant then how would
> someone interpret that coefficient? should we through them away or
> still keep them in the model? Should we consider their effect size as
> the key parameter ?
> Thank you,
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Joaquin Rapela, PhD
Swartz Center for Computational Neuroscience
University of California San Diego
9500 Gilman Drive,
San Diego, CA 92093-0559
tel: (858) 822-7547
fax: (858) 822-7556
Assume a virtue if you have it not.
Hamlet, Act 3, Scene 4
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