Weight IAT Variables

Question 1: Prefers

Question 2: Race

Project Implicit – Weight IAT Variables

Interpreting the Weight IAT

The Weight IAT measures implicit biases related to body type.

• More positive scores on the Weight IAT mean: A stronger association between fat and bad AND thin and good.
• More negative scores on the Weight IAT mean: A stronger association between fat and good OR thin and bad.

Weight IAT Variables

For clarification, some of the variables listed below include the question that was posed to the IAT participants. Others do not include the question.

1. Age: Approximate age (in years) at time of IAT exam
2. Birth-Gender: 1=Male; 2=Female
3. Gender-ID: 1=Male; 2=Female; 3=Trans male/Trans man; 4=Trans female/Trans woman; 5=Genderqueer/Gender nonconforming; 6=A different identity; 7=Multiple genders
4. Ethnicity: 1=Hispanic or Latinx; 2=Not Hispanic or Latinx; 3=Unknown
5. Race: 1=American Indian/Alaska Native; 2=East Asian; 3=South Asian; 4=Native Hawaiian or other Pacific Islander; 5=Black or African American; 6=White; 7=Other or Unknown; 8=Multiracial
6. Education: Highest education level: 1=elementary school; 2=junior high; 3=some high school; 4=high school graduate; 5=some college; 6=associate’s degree; 7=bachelor’s degree; 8=some graduate school; 9=master’s degree; 10=J.D.; 11=M.D.; 12=Ph.D.; 13=other advanced degree; 14=M.B.A.
7. Political-ID: 1=strongly conservative; 2=moderately conservative; 3=slightly conservative; 4=neutral; 5=slightly liberal; 6=moderately liberal; 7=strongly liberal
8. Religiosity: 1=Not at all; 2=Slightly; 3=Moderately; 4=Very; 5=Extremely
9. IAT-Weight-Score: Score on the Weight IAT
10. Prefers: Subject reports: 1=Strong preference for fat people; 2=Moderate preference for fat people; 3=Slight preference for fat people; 4=Likes thin people and fat people equally; 5=Slight preference for thin people; 6=Moderate preference for thin people; 7=Strong preference for thin people
11. Most-Prefer: Subject’s perception of what most people prefer: 1=Strong preference for fat people; 2=Moderate preference for fat people; 3=Slight preference for fat people; 4=Likes thin people and fat people equally; 5=Slight preference for thin people; 6=Moderate preference for thin people; 7=Strong preference for thin people
12. Weight: Reported weight to the nearest 5 pounds
13. Height: Reported height to the nearest inch
14. Body-Image: Subject’s reported body image: 1=Very underweight; 2=Moderately underweight; 3=Slightly underweight; 4=Neither underweight nor overweight; 5=Slightly overweight; 6=Moderately overweight; 7=Very overweight
15. Important: Importance of weight to subject’s sense of self: 1=Not at all important; 2=Moderately unimportant; 3=Somewhat unimportant; 4=Neither unimportant nor important; 5=Somewhat important; 6=Moderately important; 7=Very important
16. Weight IAT: The 95% confidence interval that estimates the population proportion of Weight IAT participants who indicate that they like thin people and fat people equally.
18. Identify the sample proportion ( ̂)$\left(\hat{p}\right)$ in your StatCrunch output table. Then determine whether conditions are met for using the confidence interval to estimate the population proportion of participants in your chosen IAT. (Be sure to support your answer as demonstrated in Units 6 and 7.)

19. If conditions are met, estimate the population proportion of participants in your particular IAT, and state your conclusion in context. If conditions are not met, explain what a researcher could do so that conditions are met.
20. Based on your analysis, do you think the population of participants in your chosen IAT are representative of the U.S. population? Explain.
21. Question to be investigated: According to the United States Census Bureau, in 2019 approximately 13.4% of the U.S. population identified themselves as black. Is the proportion of black participants lower for your chosen IAT?Respond to each of the following.
    1. State your hypotheses in symbolic form and in words. The following should be clear in your answer:
       • the population of interest, and
       • the meaning of the proportion p in terms of the variable Race.

    2. StatCrunch uses a normal model to estimate the P-value probability. Are the normality conditions met? Show your work.
    3. Use StatCrunch to conduct the hypothesis test. (directions)
       Copy and paste the results (the StatCrunch output window) into the textbox.
    4. Give your P-value and interpret its meaning as a conditional probability.
    5. State a conclusion that answers the research question. Use a significance level of 5%. (Your answer should include the P-value and reference the population and the appropriate variable.)
       

       Question 3

       We cannot know whether a Type 1 or Type 2 error actually occurs in a hypothesis test. But, based on the results of our hypothesis test, we should be aware of which type of error is possible and what that error means in the context of our test.

       1. For the hypothesis test you conducted in Question 2, which type of error is possible, Type 1 or Type 2? Briefly explain why.
       2. In the context of your hypothesis test, interpret the type of error you identified in part a).