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Hi everyone,
I have ran an experiment that uses an incomplete latin square design and I am not sure how to run it with SPSS. So I've got 3 tasks, called R, I and P, but participants only completed two of them (which gave me 6 possible combinations: IR, RI, IP, PI, RP, PR). They then repeated the tasks in the same order, so I have a repeated measure between time 1 and time 2. How can I set up my data to analyse it correctly with SPSS? Thank you so much for your help! Cheers |
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Here's an old manual from the SPSS Training Dept with some advice on analyzing Latin square designs (see chapter 10).
http://www.planta.cn/forum/files_planta/anova_for_spss_125.pdf But nowadays, it probably makes more sense to use the MIXED procedure. If you go that route, you'll need a LONG data file with one row per measurement of the DV, with variables coding ID and all of the factors in your model.
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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Hi Bruce and thanks for your quick response. I am looking at doing Mixed models but as my design is fairly complex, I can't find all the information I need to make the right decision when selecting the different options in SPSS. Would you have a reference that uses nested models with mixed design that I could use as an example?
Thanks |
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No, sorry, I don't have a reference for that, and don't find anything obvious with a quick Google search. But for more old-school ANOVA approaches, you might find something useful here:
http://www.iasri.res.in/ebook/EB_SMAR/ HTH.
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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