hey there， I have a question about the Random Design.

If I sent the 25,000 mail invitation, but I only want the 1,000 respondents to answer my question.
and I have 4 questions need to randomize (1 of 4 questions randomly appear)
how could I let the 4 question uniform probability distribution.

or if Question 2 is already 250 respondents, and the other respondents will automatically change to another questions

question frequency

A	250
B	250

C	250
D	250

every question could randomly and uniform probability distribution

because now it's seems cannot uniform probability distribution if use any equation.

Rita

Hi, Rita,
unfortunately LS doesn't give access to the number of filled quotas, like other - commercial - tools.
In LS you don't have something like:
quota_male_Target (how many males are needed)
quota_male_ToDo (how many males are missing)
quota_male_Done (how many males answered already)

So the best is to use a random number (1-4)
Did you check the distribution of LimeSurvey's random number (1-4)
If you create a survey with only one question - the random number - and run it, let's say 200 time, how many 1, 2, 3, 4 do you get?

And if you see that one group is filled, like
A: 241
B: 252
C: 246
240

change the relevance equation that Group B is never displayed, but Group D is displayed if random number in [2,4].


Personally I prefer to use a random number (1-100).
First:
A (1-25)
B (26-50)
...

Later I can fine tune
A (1-28)
B (29-50)


Joffm

P.S.
As Jelo explained (in the German section):
If you send out 10000 invitations you very probably will get fake interviews, speeder, happy clicker and so on.
So in reality you will need some more interviews than 250 to get 250 real usable interviews after cleaning.

Hi, some additional information:

www.limesurvey.org/forum/design-issues/1...ill-least-full-quota

Joffm

And I would not send out 25.000 at once. Go in steps and see how it goes. Go for 1000, wait for a response rate, than go for another 1000, etc. Depending on the quality of your list, the topic of your research, relevance to the contacts on the list, etc. 25.000 might actually be not enough to even reach n=1000. But this is a different story.