Humanities Homework Help

The Implicit Association Test (IAT) is a popular and respected method for measuring implicit attitudes and beliefs. Take a test of your choosing, and respond to the following questions regarding your experience.

Write an essay of 750-1,000 words on your experience with the Implicit Association Test (IAT), located on the Project Implicit website; see the attached document under the assignment tab for further directions. Include the following:

1. Describe which test you took and your results.
2. Discuss if your results surprise you. Why or why not?
3. Interpret the results. Do you think they are valid for you personally?
4. Reflect on the results of your test and your own implicit bias, briefly explain the causes of prejudicial attitudes and discriminatory behaviors you may have seen in others. Do you see similarities or difference between your bias and others potential bias.
5. Consider the overall validity of the IAT. Do you think this test is a valid and reliable measure of implicit bias? Use scholarly research to back up your claims in this section.

Use two to four scholarly resources, for this assignment the textbook can count as a scholarly source.

When writing in APA style, it is important that your analysis is written in third person. Writing in third person helps with clarity and conciseness throughout your paper. However, some instances writing in first person is acceptable and should be used sparingly. Solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

Benchmark Information 

This benchmark assignment assesses the following programmatic competency:

MS Psychology

3.3: Explain causes of prejudicial attitudes and discriminatory behaviors using self-reflection and identification in others.

See questionaire  results below. The results are weird because I am attarcted to men. You can lead on that.

Thank you for participating!

The categorization task you just took is called the Brief Implicit Association Test (B-IAT). You categorized items to the categories ‘Women’ and ‘I Am
Sexually Attracted’.
Here is your result:
Your data suggest slight association of sexual attraction with People, compared to with Women.
Disclaimer:
These results are not a definitive assessment of your automatic preference. The results may be influenced by variables related to the test (e.g., the
category labels or particular items used to represent the categories on the B-IAT) or the person (e.g., how tired you are). The results are provided for
educational purposes only.
How Does The B-IAT Work?
The B-IAT measures the strength of associations between concepts (e.g., ‘Women’) and attributes (e.g., ‘I Am Sexually Attracted’). The main idea is that
making a response is easier when closely related items share the same response key. We would say that one has an implicit association of ‘Women’
and ‘I Am Sexually Attracted’ if they are faster to categorize words when ‘Women’ and ‘I Am Sexually Attracted’ share a response key relative to when
‘Women’ and ‘I Am Sexually Attracted’ do not share a response key.
In this study we used the B-IAT to measure the associations between ‘Women’ with ‘I Am Sexually Attracted’. An implicit association of ‘Women’ with ‘I
Am Sexually Attracted’ is often interpreted as a stronger automatic association of ‘Women’ with ‘I Am Sexually Attracted’ than with ‘I Am Not Sexually
Attracted’. Your automatic association might be different than the opinion that you explicitly endorse. For instance, you might consciously associate
‘Women’ with ‘I Am Sexually Attracted’ and ‘I Am Not Sexually Attracted’ to an equal extent, but show a stronger automatic association between
‘Women’ and ‘I Am Sexually Attracted’.
Any single B-IAT is unlikely to predict behavior well for a specific individual. In the aggregate, the B-IAT can predict behavior such as discrimination in
hiring and promotion, medical treatment, and decisions related to criminal justice.
What Was This Study About?
In this study, we tested to what extent you automatically associate the concept of ‘Women’ with the concept of ‘I Am Sexually Attracted’.
We are interested to see if automatic associations between a gender group and sexual attraction, as was measured by the B-IAT you took, would be
related to your explicit sexual attractions. There is some evidence that people with different sexual orientations can show different automatic
associations of sexual attraction with men/women. We are testing whether that is indeed the case.
Does The Order In Which I Took The B-IAT Matter?
Yes, the order in which you take the B-IAT can influence your overall results. But, the effect is very small. So if your first category was ‘Women’, and
then you saw ‘I Am Sexually Attracted’ and the pair ‘I Am Sexually Attracted’ + ‘Women’, your results might be just a tiny bit different than they would be
if you had done the task in a different order.
I Still Have Questions About The Study.
If you have questions about the B-IAT, please check out our Frequently Asked Questions (FAQ) (/implicit/faqs.html). If you have any questions or
comments about the study, please email the lead investigator Sapir Keinan (sapirkeinan@mail.tau.ac.il) (mailto:sapirkeinan@mail.tau.ac.il).
Your Participation And Financial Support Are Important!
Thank you again for participating in this research! We have learned so much from people like you taking the time to be part of our work. If you have
time, please consider taking another test by clicking the button below.
As a non-profit organization, we would also appreciate your financial support. Since establishment in 2005, we have educated more than a million
visitors each year about implicit biases concerning race, gender, sexual orientation, and other topics. Your donation supports Project Implicit’s
educational, scientific, and public service missions.