Why You Shouldn’t Conclude "No Effect" from Statistically Insignificant Slopes

June 16, 2012
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(This article was first published on Carlisle Rainey » R, and kindly contributed to R-bloggers)

It is quite common in political science for researchers to run statistical models, find that a coefficient for a variable is not statistically significant, and then claim that the variable "has no effect." This is equivalent to proposing a research … Continue reading

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