Hello, I am a PhD candidate in psychology and I have some difficulty analyzing my = data on decision making in patients with Anxiety Disorders.=20 Participants (patients with Anxiety Disorders and matched controls) had to = complete 8 trials, in which they had to choose between a safe and a risky o= ption. 4 trials were presented in terms of gains (two trials with a high ri= sk and two with a low risk) and 4 were presented in terms of loss (two tria= ls with a high risk and two with a low risk).=20 The aim was to determine if the formulation, the level of risk (and the int= eraction of these two factors) affects differently choices of patients with= Anxiety Disorders vs. control. In sum: - 2 within subjects factors (formulation + level of risk) - 1 between subjects factor (Anxiety-Control) - Multiple binary dependent variable In my domain, almost all papers used ANOVAs to analyze these kind of data (= even one publication in Science) although the DV was binary.=20 As I have raised statistical comments from my reviewers by using ANOVAs on = this kind of data set, I would perform more adequate analysis. I was advise= d to use chi-square or logistic regression (but I am not sure of the soundn= ess of these techniques because each participant has carried out 8 trials). Thank you in advance for the help!

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12/13/2016 7:11:50 PM

On Tuesday, December 13, 2016 at 2:11:52 PM UTC-5, PhD student wrote: > Hello, >=20 > I am a PhD candidate in psychology and I have some difficulty analyzing m= y data on decision making in patients with Anxiety Disorders.=20 > Participants (patients with Anxiety Disorders and matched controls) had t= o complete 8 trials, in which they had to choose between a safe and a risky= option. 4 trials were presented in terms of gains (two trials with a high = risk and two with a low risk) and 4 were presented in terms of loss (two tr= ials with a high risk and two with a low risk).=20 >=20 > The aim was to determine if the formulation, the level of risk (and the i= nteraction of these two factors) affects differently choices of patients wi= th Anxiety Disorders vs. control. > In sum: > - 2 within subjects factors (formulation + level of risk) > - 1 between subjects factor (Anxiety-Control) > - Multiple binary dependent variable >=20 > In my domain, almost all papers used ANOVAs to analyze these kind of data= (even one publication in Science) although the DV was binary.=20 > As I have raised statistical comments from my reviewers by using ANOVAs o= n this kind of data set, I would perform more adequate analysis. I was advi= sed to use chi-square or logistic regression (but I am not sure of the soun= dness of these techniques because each participant has carried out 8 trials= ). >=20 > Thank you in advance for the help! You may wish to post your question to the SPSSX-L mailing list--it is far m= ore active these days than this mailing list. =20 An easy way to join the list is via the Nabble interface, which can be view= ed here: http://spssx-discussion.1045642.n5.nabble.com/ Click on the "more options" link at the top of the page for instructions on= how to join the list. You could also try searching the archives of that list, using search terms = such as <repeated measures logistic regression>. The two main approaches y= ou'll find are: 1. GENLIN with generalized estimating equations (GEE) 2. Multilevel logistic regression via GENLINMIXED But please post to SPSSX-L, as many more people will see the question there= ..=20 HTH.

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12/13/2016 9:34:00 PM