We chose this topic for our IAT because it is a more subtle variation of the race IAT. As we discussed in class, there is evidence which shows that when athletes are described in sports articles, there is a tendency to associate black athletes with being more physically strong and white athletes with being more strategic. Because the IAT is a measure designed to indicate the existence of these subtleties, we figured it would be interesting to see if other members of our class were affected by this inclination as well.
After running a one-sample t-test on our IAT we found some interesting data. With a total of eight participants we did not have a significant IAT effect and had a fairly large standard deviation (p = .160, SD = 187.7). With this said it is important to note we did find a mean IAT effect of 104.1 ms. When looking at more individual scores we find a potential outlier of -191.6 ms which would have lowered the average and increased the standard deviation a fair amount resulting in a less significant result. Even though the results of the t-test were not significant, both of these findings show that there could potentially still be an effect which could be revealed with further testing. This effect was be in the direction we would have expected, where individuals spent more time pairing the incongruent condition (Black/Intellectual words and White/athletic words) than the congruent condition.
Our Explicit measure was the most consistent in measuring what we hoped to understand- whether people thought of black athletes as more athletic and white athletes as more intellectual. This test was very close to signifigance, and the small sample size leads us to wonder how much more significant this measure would be were there more people measured (t(7)=2.303, p=.055, N=8). Interestingly, the explicit measure and the IAT had the highest correlation (r=.479, p=.230) although the finding was not signifigant. This seems to say that our explicit measure and IAT (implicit) measure were more closely measuring what we had intended then the criterion measure, when generally one would NOT expect the explicit and the implicit to measure the same thing.
When analyzed with a one-sample t-test our criterion measure was not signifigant (t(7) = -1.426, p =.197, N = 8). Our criterion measure was designed to test whether when asked to describe two male athletes with the same qualifications, people would tend to describe a white male with more intellectual terms and a black male with more athletic terms. Although our findings were not significant, we would have to wonder whether or not this is because of a confound with the list of adjectives chosen. When typed on the computer the athletic words were placed in a different color to keep them separate. When printed off of the original printer both columns were printed in black. However, when participating in the experiment most of the print-outs had distinct color differences with the words. Although not all of the subjects were affected, it was clear that most may have been influenced by the color differences picking up that they were from two different categories. This methodological problem may have resulted in non-significant values for both the one-sample t-test of the criterion data and the correlations between the criterion and the IAT and the criterion and the explicit measure. This unfortunate methodological issue may be the reason neither the IAT nor the explicit measure was able to predict the criterion or behavior measure. So, implicit and explicit attitudes were more simmilar than implicit attitudes and behavior or explicit attitudes and behavior.
Perhaps this IAT effect was strong because the words chosen were very easily categorized into one of two categories, and the pictures were not ambiguous at all, and the IAT is actualy measuring what we intended. Perhaps people do have implicit attitudes that Black athletes are more easily associated with strong and brawny and white athletes with strategic and bright. What does everyone else think?
-Dave, Andy, Meghan, Lucia
