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Date:         Mon, 24 Jan 2011 12:45:18 -0500
Reply-To:     R B <ryan.andrew.black@gmail.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         R B <ryan.andrew.black@gmail.com>
Subject:      Re: Chi square or U Test
In-Reply-To:  <1295879291934-3354708.post@n5.nabble.com>
Content-Type: text/plain; charset=windows-1252

Hi, Bruce:

In general, I think the approach you've suggested should work. I don't have time right now to read the simulation study to which you linked in the previous post. I will concur, however, that the abstract seems to support use of a GLM. I guess my primary concern would be the extent to which statistical power is compromised by how well the assumptions of the specificifed GLM-ANOVA are met.

Ryan

On Mon, Jan 24, 2011 at 9:28 AM, Bruce Weaver <bruce.weaver@hotmail.com> wrote: > Hi Ryan. If my description is correct, a two-factor (Phase x Category) > repeated measures ANOVA would probably yield a reasonably good model too, I > think. Ray Koopman, whom you know from his postings on other lists, once > pointed to a paper by Shaffer (1981, "The analysis of variance mixed model > with allocated observations") for situations like this, where the k-th score > within a subject is perfectly predicted given the first k-1 scores. (I.e., > here, the 3 scores within a phase must sum to 20.) I see there is a more > recent simulation paper that also concludes ANOVA works well for this > situation. > > http://psycnet.apa.org/?fa=main.doiLanding&doi=10.1037/1082-989X.2.2.200 > > HTH. > > > > R B wrote: >> >> Anthony, >> >> If Bruce's description of your data is correct, then you should >> consider fitting a generalized logit model. Why? Because your response >> consists of unordered categories. But we're not done! Not only are you >> dealing with a multinomial distribution, but there is likely >> covariation due to repeated measures. That is, you have (1) collected >> multiple responses from the same person within Phase I, and if I >> understand correctly, (2) these same individuals were measured again >> during Phase II. >> >> A generalized logit MIXED model with appropriately specified fixed and >> random effects can be fit employing the GENLINMIXED procedure in SPSS >> 19. >> >> Ryan >> >> On Sun, Jan 23, 2011 at 9:01 AM, Bruce Weaver <bruce.weaver@hotmail.com> >> wrote: >>> Anthony, I see you're posting the same question under a new subject. I >>> made >>> a guess as to the structure of your data below, but did not see a >>> response. >>> Note that if you responded to my hotmail address, it is used only for >>> posting to this list via Nabble, and I don't check it regularly--see the >>> note in my signature file. So please respond to the mailing list. >>> >>> Bruce >>> >>> >>> Bruce Weaver wrote: >>>> >>>> >>>> Anthony James wrote: >>>>> >>>>> Dear Colleagues, >>>>> I have a research design problem. I'd be thankful if you helped. >>>>> I read 20 words for 30 cases and asked them to tell me the first word >>>>> that hits them. I categorized the words generated by the participants >>>>> under 3 categories of 'related words', 'irrelevant words' and >>>>> 'synonyms/antonyms'. Then I computed the mean of each category over the >>>>> 30 cases. >>>>> >>>> >>>> You say you asked the cases to tell you the first word that hit them. I >>>> take it, then, that cases are subjects (or participants) in your study, >>>> right? >>>> >>>> Re the means you computed, I think they are the mean number of subjects >>>> (or cases) who selected each category, is that right? >>>> >>>> >>>> Anthony James wrote: >>>>> >>>>> In Phase 2, I give pictures as prompts to participants instead of words >>>>> and asked them to tell me the first word that hits them. I categorized >>>>> the words in the same way and computed the means of the three >>>>> categories. >>>>> >>>> >>>> Does Phase 2 use the same subjects (cases) in Phase 1? >>>> >>>> >>>> >>>> Anthony James wrote: >>>>> >>>>> Results show that the mean of 'synonyms/antonyms' when words are used >>>>> as >>>>> prompts is 19 and its mean is 13 when pictures are used as prompts. >>>>> This >>>>> suggests that words generate more synonyms/antonyms than pictures. How >>>>> can I test the statistical significance of this difference? Is >>>>> Mann-Whitney U Test the right test? >>>>> >>>> >>>> The Mann-Whitney U test is a rank-based alternative to the unpaired (or >>>> independent groups) t-test. I.e., it can be used when you have two >>>> independent groups of observations. >>>> >>>> >>>> Anthony James wrote: >>>>> >>>>> I can consider all the 3 categories of words and the two categories of >>>>> picture and run a 2*3 chi square. However chi square doesn’t give the >>>>> significance of the difference for each category separately. >>>>> Â >>>>> Cheers >>>>> Anthony >>>>> Â >>>>> >>>> >>>> If you have the same subjects in both phases, then a chi-square test of >>>> association is out--it requires independence of observations. >>>> >>>> I'll have a guess at what your data look like. >>>> >>>> Subject Phase Word Category >>>> 1 1 1 2 >>>> 1 1 2 3 >>>> 1 1 3 1 >>>> 1 1 4 2 >>>> etc >>>> 1 1 20 3 >>>> 2 1 1 1 >>>> 2 1 2 3 >>>> etc >>>> 2 1 20 1 >>>> etc, including same type of thing with Phase = 2 >>>> >>>> This can be reduced to one row per Subject as follows: >>>> >>>> Subject P1C1 P1C2 P1C3 P2C1 P2C2 P2C3 >>>> 1 8 7 5 2 10 8 >>>> 2 4 12 4 4 9 7 >>>> 3 11 3 6 5 6 9 >>>> etc >>>> >>>> Where P1C1 = Phase 1, Category 1; P1C2 = Phase 1, Category 2, etc; and >>>> the >>>> data points are counts of how often that category was chosen for each >>>> subject. Thus, within a phase, C1, C2, and C3 must sum to 20. >>>> >>>> Is this what your data look like? >>>> >>>> >>>> >>> >>> >>> ----- >>> -- >>> Bruce Weaver >>> bweaver@lakeheadu.ca >>> http://sites.google.com/a/lakeheadu.ca/bweaver/ >>> >>> "When all else fails, RTFM." >>> >>> NOTE: My Hotmail account is not monitored regularly. >>> To send me an e-mail, please use the address shown above. >>> >>> -- >>> View this message in context: >>> http://spssx-discussion.1045642.n5.nabble.com/Chi-square-or-U-Test-tp3347510p3353647.html >>> Sent from the SPSSX Discussion mailing list archive at Nabble.com. >>> >>> ===================== >>> To manage your subscription to SPSSX-L, send a message to >>> LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the >>> command. To leave the list, send the command >>> SIGNOFF SPSSX-L >>> For a list of commands to manage subscriptions, send the command >>> INFO REFCARD >>> >> >> ===================== >> To manage your subscription to SPSSX-L, send a message to >> LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the >> command. To leave the list, send the command >> SIGNOFF SPSSX-L >> For a list of commands to manage subscriptions, send the command >> INFO REFCARD >> >> > > > ----- > -- > Bruce Weaver > bweaver@lakeheadu.ca > http://sites.google.com/a/lakeheadu.ca/bweaver/ > > "When all else fails, RTFM." > > NOTE: My Hotmail account is not monitored regularly. > To send me an e-mail, please use the address shown above. > > -- > View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Chi-square-or-U-Test-tp3347510p3354708.html > Sent from the SPSSX Discussion mailing list archive at Nabble.com. > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD >

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