Implicit Stereotyping And Evaluation

The journal article used in reference to stereotyping was retrieved from the The Journal of Experimental Psychology. The purpose of this article is to illustrate how being exposed to social stereotypes can subconsciously affect our behavior. The article explores the theory that if the self is compared to the social stereotype of a perceived out-group, a group with which one does not identify, one will subconsciously behave differently. Therefore, there will be disparities between the similarities

Implicit bias is bias in one’s judgment or behavior that results from one’s unconscious associations. In order to thoroughly discuss implicit bias, implicit associations must first be examined. Implicit associations refer to one’s unconscious associations between a group and how one feels about said group. For example, a person may subconsciously associate straight people as “normal” and homosexuals as “wrong”. They may have this unconscious association even if they do not express this opinion

The Implicit Association Test or IAT is a valuable tool that those in the criminal justice system use; often times during the hiring process candidates will be required to complete the IAT so that hiring officials can see if they have any unconscious bias. The IAT is still relatively new in terms of psychological research only being created in the 1990’s by psychologist Anthony Greenwald (Kaufman, 2011). Individuals who take the race portion of the test are shown pictures of Caucasian and African-American males or females, then are given positive or negative words that they associate with each race as fast as possible. After taking the test it measures the unconscious bias that everyone has deep down (Kaufman, 2011).

Research centers for the study of racial bias have developed experimental studies to help understand how race can, for instance, influence a police officer to shoot an unarmed suspect. The Implicit Association Test (IAT) is one of the most commonly used tests for this study. IAT was developed by three scientists, Tony Greenwald (University of Washington), Mahzarin Banaji (Harvard University), and Brian Nosek (University of Virginia) (“ProjectImplicit”). Their “Project Implicit” program was designed to identify our societal biases through the association of faces (black and white) with words (good and bad). This program uses a scoring algorithm that can identify those who are faking the test with approximately 75% accuracy (Cvencek et al.).

The definition of prejudice may vary among the different psychologist but most will agree that prejudice has something to do with prejudgment, typically negative, about a group. (Fiskie, 1998; Jones, 1997; Nelson, 2002 ). According to Plous (2003), Prejudice is not exactly considered an opinion, but an attitude which includes feeling such as hating the group, rather than believing they’re bad. Within psychology, we can link prejudice with discrimination and stereotyping (Plous, 2003). Although each may go together, they can be done separately. Prejudice and discrimination are most likely absent in a positive stereo type (Plous, 2013). For example describing an ethnic group as “family oriented”. Stereo typing does little to no harm without discrimination or prejudice. A generalized form of prejudice may lack discrimination and stereo types, such as being against foreigners.

The proposed study aims to investigate the relationship between implicit prejudices and their effect on perception and judgment of others. Individuals generally hold specific prejudices towards their ingroups and outgroups and these can be deliberately or subconsciously expressed through explicit or implicit attitudes, respectively. Learning more about the relationship between the subconscious prejudicial attitudes people hold and how these affect perceptions of others is important if a better understanding of intergroup relations is to be made. More specifically, and relevant to the study at hand, investigating implicit prejudices White individuals have and how these affect their

The Implicit Association Test (IAT) was done again in relation to race by Project Implicit or PI which supports a collaborative network of researchers interested in basic and applied research concerning implicit social cognition and hosts data collection for many online research projects worldwide, in addition to providing demonstration IATs, such as the Race IAT, for racial implicit biases for educational uses (Xu, et. al.). This test was taken online by 2 million people nationally and researchers suggest they are more liberal and younger demographic, indicating that if the older and more right wing Americans took the test at higher rates the results would differ. “The Project Implicit test takers trend younger than average, as well as towards liberal political beliefs and higher levels of education. But other research has suggested that older Americans past the age of 65, in particular, tend to have higher IAT (D) scores” (Xu). For unknown reasons the rate of racial bias was the highest in the southeast and eastern portion of the country, which could possibly come from the historical racial issues that occurred in these areas for decades, such as civil war history. The bottom line is that research suggests that white Americans including police officers have a high possibility of subconscious negative feelings towards minorities supported by a chart from The Reverse Racism Effect article by Lois James depicting the negative connotations felt by 96% of white participants in the IAT

The environment in which one is born in has a way of embedded certain ideas into one’s head. Through socialization and personal experience, these ideas are formed and many people are never consciously aware of where these ideas stemmed from. Implicit bias is an unconscious thought process that many individuals are never aware of due to its intrinsic nature. The United States of America, which may be a country rich in diversity and culture, is also a place that is struggling to overcome a history of racism, oppression, and prejudice that has been prevalent since its founding. Over time, we have experienced less explicit racial discrimination and bias but implicit racial biases seems to be a vast concern worth exploring in the

1. Dovidio, J. F., & John, M. (2013). Stereotype. In P. L. Mason (Ed.), Encyclopedia of race and racism (2nd ed.). Farmington, MI: Gale. Retrieved from http://proxy.lib.ohio-state.edu/login?url=http://search.credoreference.com/content/entry/galerace/stereotype/0?institutionId=4358

The Implicit Association Test (IAT) is one that attempts to detect implicit bias by asking test-takers to pair certain racial categories with deciding words like “pleasant” or “unpleasant.” In a test where “implicit bias against African-Americans is defined as faster responses when the "black" and "unpleasant" categories are paired than when the "black" and "pleasant” categories are paired,” “most people tend to prefer white to African American” (Jolls and Sunstein, 2006, p.971). The IAT also found that “scores on the IAT and similar tests are correlated with third parties' ratings of the degree of general friendliness individuals show to members of another race” (Jolls and Sunstein, 2006, p.972). If people associate certain negative traits

Part of the presentation that described what implicit racial bias is, how it is measured, and how it influences everyday interactions. All participants viewed this presentation but only intervention group participants were provided with strategies and group sessions aimed to help minimize implicit racial bias.

For The Implicit Association Task (IAT) assignment, I began with the test titled, Weight ('Fat - Thin' IAT). This IAT requires that ability to distinguish people who are obese and people who are thin. It often reveals an automatic preference for thin people relative to fat people. This test included associated “good” and “bad” words, such as, joyful and ugly to a silhouette sized person that was either thin or obese. There are some questions about beliefs, attitudes, and opinions, and some standard demographic questions.

According to social psychology, explicit attitudes are people’s conscious views or attitudes that they are aware of while implicit attitudes are hidden unconscious attitudes that people have. So the outcome of both tests conflicted with my explicit attitudes about race and gender. My explicit attitudes about race were that all race are equal and that I have no preference over any race. The same applies to gender too in that female and male are equal and that I don’t prefer one over the other.

When social psychologist Claude Steele began writing about the problem of stereotype threats in the 1990s, many other researchers began to do the same thing. Steele offered that when members of certain groups can be stereotyped in a negative way, they will be seen “through the lens of diminishing stereotypes and low expectations” (1999, p.44). According to Kassin, Fein, and Markus, stereotype threat is defined as “The experience of concern about being evaluated based on negative stereotypes about one’s group.” Steele concluded that stereotype threat can be achieved in two ways: reactions to “threat in the

Although prejudice and stereotype seem similar, they actually have two different meanings. While stereotyping involves the generalization of a group of people, prejudice involves negative feelings when “they” are in the presence of or even think about members of the group. “Prejudice comes from direct intergroup conflict, social learning, social categorization and other cognitive sources” (Ferguson). Not all stereotypes are negative; there are also positive and neutral stereotypes. Some stereotypes do not slander a race, culture, gender, or religion, but nonetheless generalize a group of people that may or may not be true. For example, some people say that all Asians are smart or good at math. Though people of Asian descent may often be more studious, not all Asians do equally well in school (Floyd, 62). Another common example of a positive stereotype is that all black people are good athletes, dancers, and singers. Though these are positive stereotypes, when people believe them, they don’t take into account that every person is an individual and different. A neutral stereotype