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How We Are Affected by Racial Stereotypes Yena, Cymone, and Clemens.

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Presentation on theme: "How We Are Affected by Racial Stereotypes Yena, Cymone, and Clemens."— Presentation transcript:

1 How We Are Affected by Racial Stereotypes Yena, Cymone, and Clemens

2 Research Questions Big Question : How deeply are the stereotypical images of race embedded in people’s perceptions? Operational definition of “depth” : How similarly people with different ethnicities respond to different races

3 Research Questions Specific Questions : What kind of adjectives would people of different ethnicities (in Korea and the U.S.) associate with different races? Are people’s stereotypes and personal perceptions similar/different?

4 Hypothesis The contemporary stereotypes of both Koreans and Americans will be similar to their personal perceptions of different ethnicities. (This phenomenon would occur because many stereotypes are formed and disseminated from the U.S. media, which influence vast number of countries including Korea.)

5 Research Method Random sampling within KIS/UHS 20 subjects per school = 40 samples Survey format: Reading the instructions and filling out the given survey sheets

6 Survey Process 1. Ask people to choose any adjectives (numbers do not matter) that, in their opinion, reflect the contemporary stereotypes of each race. 2. Tell them that they can put any adjectives they wish if they cannot find ones they want on the list.

7 Survey Process 3. Ask people to choose any adjectives (numbers do not matter) that reflect their personal perceptions of each race. 4. Tell them that they can put any adjectives they wish if they cannot find ones they want on the list.

8 Survey Process 5. Let them know that if they think their adjectives that reflect contemporary stereotypes are the same as those of their personal perceptions, they simply need to copy the same adjectives from the above. 6. Let them know that their anonymity will be guaranteed as they will write their answers on a piece of paper and put them into a box.

9 Teamwork Successful communication through Facebook

10 Teamwork Successful communication through Google Docs

11 Part I. KIS & UHS: Data (Collected)

12 Adjective List

13 Survey Sheets

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15 Part II. KIS: Data (Organized)

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23 UHS: Data (Organized)

24 Black Contemporary Personal

25 White Contemporary Personal

26 Indian Contemporary Personal

27 Asian Contemporary Personal

28 South American Contemporary Personal

29 Southeast Asian Contemporary Personal

30 Middle Eastern Contemporary Personal

31 Graphs

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33 Our Findings Matching Stereotypes: U.S. White: 7/16 = 44% Asians: 5/11 = 45% Black: 5/18 = 28% Middle Eastern: 2/10 = 20% Indians: 5/10 = 50% Southeastern: 3/6 = 50% South American: 5/5 = 100%

34 Our Findings Matching Stereotypes: KOREA White: 5/7 = 71% Asians: 3/7 = 43% Black: 2/10 = 20% MIddle Eastern: 2/7 = 29% Indians: 1/3 = 33% Southeastern: 1/3 = 33% South American: 4/6 = 67%

35 Data Analysis Our data’s trend : the more familiar we are with an ethnicity, the greater the number of adjectives U.S. : the more familiar, the fewer overlaps of adjectives, vice versa Korea : the more familiar, the more overlaps of adjectives, vice versa (one exception exists) Possible cause of the differences: U.S. is a much more diverse nation than Korea

36 - Because the sample size is only 40, it is not enough to generalize our findings into a greater population. Therefore, we cannot make any definite conclusions concerning our results. - Since we only sampled from KIS and UHS, it is not possible to generalize their response into the Korean/Americans’ opinions. Assessment of Accuracy

37 - There may be some bias in the data of Asian stereotypes/personal perceptions collected in KIS because the students may have answered more positively for their own ethnicity. - For the races that Koreans are not familiar with, the participants may simply have said “same as the stereotypical adjectives” when putting the adjectives for their personal perceptions, yielding inaccurate results.

38 Conclusion Our hypothesis vs. our findings? Q & A

39 Thank you! :)


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