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October 19, 2011

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I think the heart of the problem is getting a good sample. A professional or trade association can survey its members and should have enough information about those members to characterize the results as representative of their particular segment of the industry. But for others it's tricky. Interpreting the results starts with understanding the bias, either due to coverage error or nonresponse. In the particular case of GRIT, I'd like to see more effort to understand the bias so results can be properly characterized.

Fair points as always Reg and Kathryn; how would you like to join the "coalition of the willing" for the next round of GRIT to make sure your concerns are addressed? You can find me in the echo chamber... :)

So many great points here! My facvoratites:
"There is story telling for sure, but it sometimes borders on fiction. "
"But when you look closely at most of the surveys in particular and evaluate the methodology from a survey research perspective you can't help but be amazed that these are designed, executed and reported on by research professionals. "
and the brutally honest and oh-so-true "MR's social media echo chamber"

I for one have cut back in recent months. Too much content that is redundant, too many "experts" who make obvious errors, and just too many darn groups/sites. Still, I have met some amazing researchers via SM, some of whom have become clients, partners or suppliers. But I am frequently reminded that SM is an unfiltered firehose--it comes out fast and you never know if the content will be good. Note: I found out about this article via Twitter ;-)

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