marton.hun:I'm doing a research paper on self esteem, and I'm using the Greenwald self esteem IAT and the Rosenberg explicit self esteem test. My question is, how to correlate the two mesasures, or how to make them "compatible" for each other. I have the raw data (the d scores from the IAT, and the points from the rosenberg scale).
This is a general methodological / data analysis question and is as such completely unrelated to (using) Inquisit. I thus recommend you review the available literature dealing w/ relations between implicit and explicit measures and take this up w/ your colleagues and/or advisors.
Regards,
~Dave
"To understand recursion, you must first understand recursion." - Unknown Zen Master
Hey Dave,
thank you for your explanations which are always very helpful.
I understood that expressions.d is the IAT-sore calculated after the improved scroing algorithm according Greenwald et al. 2003. This means I can cite it this way, right?
I used one of the scripts of your Task library. I´m not sure which part of the script calculates the expressions.d-score. Maybe you could upload an example of the accordant command? This would help me to control my data.
One last question: Greenwald et al. (2003) used the pooled SD for their calculations. Which formula did you use for computing the pooled SD?
Thank you very much in advance!
Kind regards, Magdalena
magdalena:I understood that expressions.d is the IAT-sore calculated after the improved scroing algorithm according Greenwald et al. 2003. This means I can cite it this way, right?
Yes, review the previous replies throughout this thread for details.
magdalena:I used one of the scripts of your Task library. I´m not sure which part of the script calculates the expressions.d-score. Maybe you could upload an example of the accordant command?
Simply look at the <expressions> element in the script you used and find '/ d'. Additionally look at the /ontrialend attributes in the script which are involved the necessary computations.
magdalena:One last question: Greenwald et al. (2003) used the pooled SD for their calculations. Which formula did you use for computing the pooled SD?
You'll also find this information directly by looking at the script. Again, refer to the <expressions> element in the script and look at the various entries starting with 'sd'.
thank you for your quick reply. You already helped us very much. But we are still wondering about the resulting score (expressions.d). We tried to compute the score for several subjects manually and got different values than the program calculated (differences about 0.04). So we looked at the formula in the script for understanding which mistake we made. But we couldn´t comprehend on part of the SD-formula, what means values.ssXX?
Thanks a lot and best wishes, Magdalena
'ss' would indicate a sum of squares. Minor differences a la 0.0x may very well be due to rounding error.
Hi Dave, I have only one last question.
The IAT is making compatible and incompatible matching but not in the same order every time. My question is, that this is calculated in the last d score, or i have to make some changes with the reversed ones.
Thanks in advance,
Martin
The order of compatible / incompatible blocks is counterbalanced between subjects based on the numerical subject id -- see the <variables> element for details. This does not affect the computation of d in any way.
I've read in another thread that having a D score that is higher than 1.0 is rare, however, I seem to have 4 instances of it in my data.
Any ideas why this might be?
Thanks
Rare does not mean impossible. D may vary between -2 and +2 in theory. Other than that, I have nothing to offer on this subject, I'm afraid. Might be your particular subject matter, etc. Those are theoretical and methodological questions, so you should be better equipped than anybody else to answer them (since you know your particular area of research best).
Cool. I just wanted to check that it wasn't a technical issue.
Dear Sean,
Can I just check that from having read the above (very helpful) description and having translated that to the Single Target IAT that I have understood the expression.d score for the Single Target IAT correctly:
A positive score would mean there was an association between Target A and Attribute A
A negative score would mean there was an association between Target A and Attribute B
So with you necktie example. Lets say Target A was neckties, Attribute A was pleasant and Attribute B was unpleasant. A positive score would mean the participant liked neckties, a negative score would mean that they did not like neckties? With my study Target A is 'disabled', attribute A 'pleasant' and attribute b 'unpleasant'. So a positive score would mean that participants associated 'disabled' with 'pleasant' (thus positive implicit attitudes), and a negative score would mean that participants associated 'disabled' with 'unpleasant' (thus negative implicit attitudes) right?
Many thanks,
Michelle
michellewilson2012:With my study Target A is 'disabled', attribute A 'pleasant' and attribute b 'unpleasant'. So a positive score would mean that participants associated 'disabled' with 'pleasant' (thus positive implicit attitudes), and a negative score would mean that participants associated 'disabled' with 'unpleasant' (thus negative implicit attitudes) right?
Yes.