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Logistic regression and repeated measures

andrej

Hi, I am having problems trying to find the proper way to analyze a set of data and would greatly appreciate some help.

My data is about learning. It includes the response of an individual to two different stimuli (one rewarded, the other unrewarded) presented sequentially. I also have different pairs of stimuli. What I am interested in is to determine the effect of rewarding a stimulus, the effect of using different pairs of stimuli and how the probability changes overtime. I would like to be able to have logistic regressions for each treatment (pair of stimuli), to compare treatments and but at the same time be able to control for the fact that I am measuring the same individuals repeatedly. I know how to fit logistic regressions and how to make repeated measures analyses, but some how think that I need to have them together. Any ideas? I greatly appreciate any help!!

Andre

Accepted answers

mfisher

Under Analyze, select "Modeling" then "Categorical". You can use "Repeated measures" if one row=one subject. If one subject is recorded across several rows, then you can use "multiple response by ID". Your treatments are the X grouping categories.

All comments

mfisher

What is the response you are measuring? Is it binomial, like your treatments?

andrej

Hi mfisher,

Yes, it is binomial. I simply record whether the individual responds or not every time I present a stimulus.

Thanks for any help!

Andre

mfisher

andrej

Excellent! Thanks very much. I had never explored this tool of jmp before and seems to be very helpful not only for this but for other analyses. And a last question if you don't mind. Is it appropriate to pair the stats that I find using the Categorical analysis with graphs of log regressions like the ones found using X by Y plots?

Thanks so much again!

Andre J.