By mparekh - 7/15/2015
Hello Fellow Inquisit users- Pleaaase help me out with this issue- I am trying to figure out if I am conducting the proper statistical analyses with this variable and could use ALL the help I can get. So my issue is I am not familiar with how to use the expressions.d variable in a multiple regression equation as the outcome variable.
For example:
For ID 50=
expression da= 1.25 (preference for Type A)
expression.db= 0.83 (preference for type B)
expression.d= 1.04 (difference in preference score)
So I want to use the difference score as a continuous variable in a regression equation for a sample of 150 people. Can I use the variable as is? Is it already in a standardized format or do I need to standardize it? Is a regression equation the appropriate way to use this variable?
Thank you all very very much
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By Dave - 7/15/2015
As for what the three expressions (da, db, d) represent, see:
https://www.millisecond.com/forums/Topic3444.aspx
expressions.d is a participant's overall D-score, which is what you most likely want to use as your dependent variable. D can vary between -2 and +2, as you will find discussed in the relevant literature. For an overview of how D is calculated, see https://faculty.washington.edu/agg/IATmaterials/Summary%20of%20Improved%20Scoring%20Algorithm.pdf and the sources referenced therein.
The remaining questions are unrelated to Inquisit as far as I can tell.
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By mparekh - 7/15/2015
Thank you for your reply. Is there a reference for how most people use this statistic in analyses by any chance?
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By Dave - 7/15/2015
There's plenty of literature involving all sorts of different analyses wit D as dependent variable. Since I don't know anything about your design and what exactly you want to test, I can't give you a concrete reference, much less from memory. There probably are a number of studies out there that are reasonably similar to yours, so you should be able to locate those via the usual means (publication databases, Google Scholar, etc.).
Maybe start with https://encrypted.google.com/#q=regression+iat+d+score ?
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