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Re: st: St: comparing survey pre- and post- results


From   Andrzej Niemierko <[email protected]>
To   Stata <[email protected]>
Subject   Re: st: St: comparing survey pre- and post- results
Date   Tue, 16 Nov 2010 14:06:04 -0500

Thank you Austin for your advice and code. This is most useful, and
dichotomization is indeed a reasonable option. Of course, some information
is lost when we dichotomize 5-bin distributions. I was hoping that there are
methods that allow a more direct comparison of distributions of
corresponding ordinal variables.
Andrzej




On 11/15/10 11:42 AM, "Austin Nichols" <[email protected]> wrote:

> Andrzej Niemierko <[email protected]> :
> One method is to dichotomize the outcome and use a regression for
> binary outcomes to compare pre and post:
> clear
> input f0 f1
> 3  4
> 18 11
> 31 28
> 6  18
> 1  7
> end
> g a=_n
> reshape long f, i(a) j(post)
> g agree=a>3
> ta a agree
> logit agree post [fw=f], r
> 
> 
> On Mon, Nov 15, 2010 at 11:33 AM, Andrzej Niemierko
> <[email protected]> wrote:
>> Dear All,
>> I am trying to evaluate the effectiveness of a mentoring program at our
>> institution. A random sample of mentees filled in a questionnaire before the
>> start of the mentoring program. A typical question would be:
>> 
>> Question: To what extent do you agree you personally have achieved the
>> following in your career?
>> Career success:
>> Answers: a) too early to tell b) strongly disagree c) disagree d) neither
>> agree nor disagree e) agree f) strongly agree g) not applicable.
>> 
>> The same questionnaire was given to a different sample of mentees after the
>> completion of the mentoring program. Let's say that the distribution of
>> responses to the above question before and after the program is as follows:
>> 
>> Before: a)1   b)3  c)18  d)31  e)6   f)1  g)0
>> After:  a)0   b)4  c)11  d)28  e)18  f)7  g)0
>> 
>> Assuming that the question is indeed relevant for evaluating the mentoring
>> program how can I quantify the difference between the post- and the pre-
>> distributions of answers? How can I test whether the difference is
>> statistically significant?
>> 
>> This branch of statistics is a bit foreign to me, and I hope someone can
>> help.
>> 
>> Thank you,
>> Andrzej
> 
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