We know that.
When this person tells me what they like and don't like about the thing I sold, they are turning over to me something of value. So I am now the customer, no? Maybe I should pay for what I get.
If you really want to get responses, try paying the person with the information. Maybe not $, but something.
Jay
Jill Binker wrote:
Interesting. "Get as many as possible" sounds good, but I've heard
otherwise (from those with more background than I have). The best way to
get 100% compliance from the random sample you're trying to get responses
from, is to send as few forms as possible, then put your resources in
pestering those people -- whoops! I mean encouraging them to respond
(follow up mailings, then phone calls).That way you're minimizing the effect of a skewed sample (since liklihood
of responding may well be correlated with the things you're trying to learn
about.Also, I believe that hypothesis testing is sounder if your sample is less
than 1 tenth of the population size -- but don't go by me; I'm a
non-statistical lurker.At 7:04 PM +0000 5/25/01, W. D. Allen Sr. wrote:
>Get all the samples you can afford!
>
>Text book recipes on determining sample size implicitly assume that all the
>elements of the population in question are selected randomly [ equally
>likely to be selected ].
>
>Voluntary response to a mail-in survey means you will get only those samples
>that "volunteer" to respond, which means non-random selection. The
>non-respondents are also hunters but you won't hear from them.
>
>Generally the more samples the better in a mathematically imperfect world.
>Look at it this way, if everyone responded you would have sampled the entire
>population of hunters. So the closer to all hunters the better. Maybe you
>could think of a way to induce more of those potential non-responders to
>respond.
>
>Good luck
>
>WDA
>
>end
>
>"Mike Tonkovich" <[EMAIL PROTECTED]> wrote in message
>3b0d107d_2@newsfeeds">news:3b0d107d_2@newsfeeds...
>> Before I get to the issue at hand, I was hoping someone might explain the
>> differences between the following 3 newsgroups: sci.stat.edu,
>sci.stat.cons,
>> and sci.stat.math? Now that I've found these newsgroups, chances are good
>I
>> will be taking advantage of the powerful resources that exist out there.
>> However, I could use some guideance on what tends to get posted where?
>Some
>> general guidelines would be helpful.
>>
>> Now for my question.
>>
>> We have an estimated 479,000 hunters in Ohio and we want to conduct a
>survey
>> to estimate such things as hunter success rates, participation rates, and
>> opinions on various issues related to deer management. The first question
>> of course, is how large of a sample?
>>
>> [snipped]
>>
>
>
>
>
>
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