The correct statistical test is called McNemar's Test:
http://www.medcalc.org/manual/mcnemar_test.php
It is specifically for dichotomous outcome data which is paired (repeated or 
matched). 
A modified Bonferroni more or less as you describe looks easy enough to do 
manually, after extracting the p-values for each of the 25 McNemar tests.
http://www.psych-it.com.au/Psychlopedia/article.asp?id=251

Paul

On Jan 15, 2013, at 6:21 PM, Annette Taylor wrote:

> I know this is a basic question but here goes:
> 
> I have categorical data, 0,1 which stands for incorrect (0) or correct (1) on 
> a test item.
> 
> I have 25 items and I have a pretest and a posttest and I want to know on 
> which items students improved significantly, and not just by chance. Just 
> eyeballing the data I can tell that there are some on which the improved 
> quite a bit, some not at all and some are someplace in the middle and I can't 
> make a guess at all. That is why we have statistics. Yeah! .... 
> hmmmm....bleh.....
> 
> As far as I know, the best thing to do is a chi-square test for each of 25 
> items; but of course that will mean that with a .05 sig level I will have at 
> least one false positive, maybe more, but most assuredly at least one. This 
> seems to be a risk. At any rate I can use SPSS and the crosstabs command 
> allow for calculation of the chi-square.
> 
> I know that when I do planned comparisons  with multiple t-tests, I can do a 
> Simes' correction in which I can rank order my final, obtained alphas, and 
> adjust for the number of comparisons and reject from the point from which the 
> obtained alpha failed to exceed the corrected-for-number-of-comps alpha. But 
> as far as I know, I cannot do that with 25 chi square tests. There is 
> probably some reason why I can no more do that, that relates to the reason 
> for why I cannot do 25 t-tests in this situation with categorical data.
> 
> Is there a better way to answer my research question? I need a major 
> professor! Oh wait, that's me... drat! I need to hire a statistician. Oh 
> wait, I'd need $$ for that and I don't have any. So I hope tipsters can stand 
> in as a quasi-hired-statistician and help me out.
> 
> Oh, I get the digest. I don't mind waiting until tomorrow or the next day for 
> a response, but a backchannel is fine. [email protected]
> 
> I will be at APS this year. Any other tipsters planning to be there? Let's 
> have a party! I'd love to put personalities to names.
> 
> Thanks
> 
> Annette
> 
> Annette Kujawski Taylor, Ph. D.
> Professor, Psychological Sciences
> University of San Diego
> 5998 Alcala Park
> San Diego, CA 92110
> [email protected]
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