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marton.hun
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Group: Forum Members
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Hi, 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). Thanks!
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Dave
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Group: Administrators
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I used the script available from prof. Greenwald's website Then you should refer to the documentation provided by Prof. Greenwald re. interpreting the data generated with that script and how his accompanying SPSS syntax works.
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etapia
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Group: Forum Members
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I used the script available from prof. Greenwald's website. I will attach it to see if it helps.[View:http://www.millisecond.com/community/cfs-file.ashx/__key/CommunityServer.Discussions.Components.Files/12/2553.LATINOIAT.exp.txt:550:0]
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Dave
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Group: Administrators
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I am having trouble figuring out which one goes with which in my case (How to pair them and make them A or B). I am working with the attributes good and bad and the targets Latino and White. IN my script I have them as Attribute_Left: good, Attribute_right: bad, target 1: white, target 2: Latino For the IAT scripts available from millisecond.com (to which this thread applies), the denominations and pairings are clear: They are always attrinbuteA, attributeB, targetA and targetB. For scripts coming from other sources, please refer to the documentation provided by the respective scripts' authors. Regards, ~Dave
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etapia
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Group: Forum Members
Posts: 3,
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Hi, I am having trouble figuring out which one goes with which in my case (How to pair them and make them A or B). I am working with the attributes good and bad and the targets Latino and White. IN my script I have them as Attribute_Left: good, Attribute_right: bad, target 1: white, target 2: Latino. I will attach a screen shot of my results after I conduct a frequency test in spss. I would appreciate any help. If more information is required please do not hesitate to let me know. Elizabeth
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Dave
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Group: Administrators
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See my previous reply to this thread. The IATs are set up to only move on after the correct key has been pressed, thus D includes a "built in error penalty" (biep). Regards, ~Dave
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declan174
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Group: Forum Members
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Hi Dave, Thanks for being so helpful. I have downloaded a sample script from the millisec's site, but i couldn't find "d_biep" in the IAT script, nor is it in the .dat file. I'm wondering does that mean that the when an error is made, does the script simply compute the latency after a correct response is made, or does it add 600 ms to the block mean?
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Dave
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Group: Administrators
Posts: 13K,
Visits: 109K
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As I already said in my previous response: 'expressions.d' is 'd_biep' which is computed according to the improved scoring algorithm, the only difference being that subjects with latencies below 300ms on 10+% of the trials are not automatically discarded. ~Dave
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Laura
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Group: Forum Members
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HI Dave, As always, thanks for the quick response! I should have been more specific. Are the "expressions.d" scores calculated using Greenwald's improved scoring algorithm? How do the "expressions.d" scores differ from "d_biep" scores? Basically I am wondering if I can use the scores that were automatically calculated for me or if I need to run the template script/syntax in order to follow Greenwald's guidelines. Thanks! Laura
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Dave
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Group: Administrators
Posts: 13K,
Visits: 109K
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One question I have regarding how the data are calculated is whether errors and latency were considered when calculating d scores. In other words, were Greenwald et al.'s (2003) "improved scoring algorithm" recommendations for calculating d scores followed? If not, would I need to modify and use the syntax that has been developed in order to examine errors and latencies? Laura, the IAT templates scripts available at http://www.millisecond.com/download/samples/v3/IAT compute "D with built in error penalty" (d_biep) according to Greenwald et al. (2003). This is the recommend measure for the specfic IAT procedure implemented by these scripts. The only difference to Greenwald et al.'s improved scoring algorithm is that the Inquisit scripts do not discard data or stop the IAT if subjects have < 300ms latencies on 10+% of the trials. You would have to do that later during data preparation. You can compute other variants of D based on the raw data with your preferred stats package. Regards, ~Dave
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