Being aware of [that article](https://web.archive.org/web/20180430044906/http://www.ssicentral.com/lisrel/techdocs/HowLargeCanaStandardizedCoefficientbe.pdf), I am curious about the question how big standardized coefficients can get. I had a discussion with my professor about that issue and she was arguing standardized coefficients (beta) in multiple linear regressions can not become greater than |1|. I have also heard that predictors with standardized coefficients greater than 1 should not be be included/appear in multiple linear regression. When I recently estimated a multiple linear regression in R using lm(), I estimated the standardized coefficients with lm.beta() function from the package 'lm.beta'. In the results I could observe a standardized coefficient greater than one. Right now I am just not sure about what is the truth.

Can standardized coefficients become greater than |1|?
If yes, what does that mean and should they be excluded from the model?
If yes, why?

I would be very thankful, if somebody could make this issue clear for me.