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 Post subject: A favor to ask
PostPosted: Tue Aug 28, 2012 8:53 pm 
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Joined: Fri Jan 21, 2011 7:54 pm
Posts: 28
Location: Europe
Hi everybody,

It’s lna – if you read it correct, you’ll get my name ;) I presume everybody here likes webtoons, I myself love Cheese in the trap, Dr. Frost, Annarasumanara, God of bath and a few more… I’d love to chat about any of them with anybody =) Since I know that a few people here also like kpop and dramas, I have a favor to ask you. I am doing a short survey about Kpop, asking what people like about it, and I need answers from different countries… I guess we are from different places, no? I’d be so thankful if you help out! And don’t be afraid – it is fun and takes less than five minutes!

Here it is >> https://qtrial.qualtrics.com/SE/?SID=SV_43gs0yENuG9eMGV
Thank you =)


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 Post subject: Re: A favor to ask
PostPosted: Wed Aug 29, 2012 5:10 pm 
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Joined: Wed Apr 25, 2012 5:28 pm
Posts: 43
What's the effectiveness of such survey?

Personnally, when it's not political or medical, I tend to write bullshit.

So I wonder, how is my kind evacuated from the final results?


Also, I often see people asking in various forums to fill surveys.

Why?
Is that an exercice in some sort of high school?


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 Post subject: Re: A favor to ask
PostPosted: Thu Aug 30, 2012 10:20 am 
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Joined: Fri Jan 21, 2011 7:54 pm
Posts: 28
Location: Europe
It is not an exercise in high school, it is a way to get some meaningful statistical information on a topic. And naturally, people would post it in a forum discussing the topic. When a survey is not pre-screened, it relies on the scrupulousness of the respondents, but this is not just with surveys. Anyways, when people right bullshit it stands out as an outlier and there are techniques to control for irregular answers. Thanks for your feedback.


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 Post subject: Re: A favor to ask
PostPosted: Thu Aug 30, 2012 2:55 pm 
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Joined: Wed Apr 25, 2012 5:28 pm
Posts: 43
Don't mention it.

you've not really answered my questions, and I'm fine with it.


I'm wondering about the value of the sample you are aiming for (and I'm not thinking about dishonesty, rather huge selection bias), but wish you best use with it.

Personnally not-knowing what's going to be done with data I provide is a big no-no.

Don't bother answering to me, wish you other contributions more positives than me.


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