Taking tests such as the IAT (Implicit Association
Test) always make me a little nervous. The IAT, which was developed by Anthony
Greenwald and colleagues in 1998, is a test which determines your unconscious stereotypes
to a specific group such as age, race, or weight by testing how fast your reflex
selections are when separating words or images into groups quickly. In other
words, the test recognizes how you relate to concepts to one another. I took
two IAT’s: the weight IAT and the gender-science IAT. I will first begin
discussing my results on the weight IAT. I chose this particular IAT because I
knew that it was relatable to my self schema for weight, a concept developed by
Markus and colleagues in 1987. Although I am aware that I do process relevant
information in my everyday life that has to do with weight, I never would have
thought this would make me bias towards people other than myself. My results
stated that I was in the top range, and that I have a strong and involuntary
preference for thin people over fat people. As surprised and as disappointed I
was to see this result, I noticed that the number of people who ranked the same
as me was the second highest group at 25% of participants. This statistic shocked
me as well. It is almost terrifying to know that 25% of a given population may
prefer a thin person over a heavier person, without even taking their
personality into account. I wouldn’t say the IAT test was showing my true
beliefs on this, because I believe I am a very open and welcoming person, and I
don’t believe I would ever choose to be friends with someone due to their
weight, but then again, I have never been presented with that choice either. The
weight IAT was a particularly great experience and outcome for me, because
although the outcome was not positive, the results make me want to shift my
weight schemas towards a more positive light, so that I do not rationally judge
others for their physical appearance. I think to do this, I am going to have to
work on my judgment of myself a lot as well.
The second IAT I took was on gender-science, and I
was sure my influences from Southwestern University’s liberal ways would place
me towards women’s equality or even favoritism towards science, but my results
differed from expected. I actually had little or no association of men and
women towards liberal arts (history, English, philosophy) or science (biology,
math, astronomy, etc.) I am actually quite happy with the results, because I
interpret them to mean that I have no bias towards what subjects men or women
study, as long as they are happy and successful within them. 18% of others who
took this IAT scored the same as me, which shows that not many others feel the
same as I do. I noticed a large portion leaned towards men pursuing work in
science and women in liberal arts, which according to stereotypes is not surprising.
I am a psychology/animal behavior major, so being a part of the science
community has made me realize how many brilliant females we have at our school
in this field. We not only have a large portion of female science based majors,
but I believe we have a large portion of female science oriented teachers as
well. Personally, I do not think that
either men or women are better at science of liberal arts, I just believe that
whichever career path we pursue is influenced by our experiences and culture
during youth, and that it follows us through adulthood. Even though my results
did not show much prejudice, other results did, and I hope programs such as
Southwestern continue to break gender stereotypes such as this. The IAT tests
were very eye-opening, and I will be sure to recommend them to others around
me. Without the proper understanding of stereotypes, and the backlash they can
cause, they will continue to negatively impact society. Test such as the IAT
could assist in changing this.
Until next blog,
Your social psychista
Word count - 693
Greenwald A. G., McGhee, D. E., & Schwartz, J.
L. K. (1998). Measuring individual differences in implicit cognition: The
implicit association test. Journal of
Personality and Social Psychology, 74,
1464-1480.
Markus, H., Hamill, R., & Sentis, K.P. (1987).
Thinking fat: Self-schemas for body weight and the processing of weight-relevant
information. Journal of Applied Social
Psychology, 17, 50-71.
No comments:
Post a Comment