Re: Interactions binary logistic regression

Posted by Maguin, Eugene on Dec 15, 2016; 4:17pm
URL: http://spssx-discussion.165.s1.nabble.com/Interactions-binary-logistic-regression-tp5733602p5733607.html

Some things are still not clear to me.
1) Two groups (got that) and each participant completed all 8 trials? Or something else? This element is important!
2) In each trial participants selected either a risky option or a safe option. The dichotomous DV.
3) A trial was formulated as a gain or as a loss and as low risk or high risk. Four combinations.
4) Each combination was replicated twice.

If each participant did all eight trials, you have a repeated measures design. Just suppose the DV were continuous, how would you set up the analysis?
If each participant did only one trial, you have a between groups+conditions design. Again, how would you set this up if the DV were continuous?

Gene Maguin
 



-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of PhD student
Sent: Thursday, December 15, 2016 10:35 AM
To: [hidden email]
Subject: Re: Interactions binary logistic regression

In my experiment, 2 independent groups (patient vs. control) carried out 8 trials in which they had to chose between 2 options, one safe and one risky.
4 trials were formulated in terms of gain (2 with a low risk and 2 with a high risk) and 4 trials were formulated in terms of loss (2 with a low risk and two with a high risk).

All my IV, Group (patient vs control), formulation (gain vs loss) and level of risk (low vs high) are dichotoumous.

For example, I have a significant Group X Formulation interaction, but I am not sure how I can precisely observe the influence of the formulation within each group.




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