False Stereotypes

The strengths of the study is that is cost effective and does not require a lot of funding. Another strength is that George Mason University has a very diverse population, thus there is a high chance of obtaining a racially and culturally diverse group when randomly selecting the participants. Furthermore, the study also included staff and not only student in order to diversify the participant’s backgrounds as well. In addition, having both female and male participant’s makes it more diverse opposed to how many other studies that have solely focused on one gender. Although the study has many strengths, there are also some limitation to take note of. One of the major limitations is that the study is working with a very small sample size. In

Stereotypes are present in everyday life and they affect how were perceive other groups or individuals. As most individuals are a member of one societal group or another, it would be beneficial to examine why stereotypes form, and why some are more common than others. The purpose of this study is to identify circumstances in which an illusory correlation will be formed and how that may lead to the formation of stereotypes. An illusory correlation is the existence of a relationship, when no relationship actually exists.

Stereotype threat inclusion/omission: whether including or omitting information that could potentially indicate gender bias would affect performance.

In class I learned more details about what affects an analysis. One of the things that can affect your analysis are stereotypes. For example, if you analyze an image of an ad for a Barbie doll, based on stereotypes you may

1. Tas has a very confident attitude and appearance, which kinda makes it difficult for people to engage in conversation with. He can come off as an overwhelming and intimidating person to be around with his proud aura. But in all honestly he's a pretty nonchalant and down to earth person, like someone you would wanna grab a beer with. (and he can be a ray of sunshine///He probably smiles a lot too) 2.

In the video there were 3 boys at the age of 16 and each of them have a completely different lifestyle from one another. The first boy name Ben. Ben is a smart and a straight A student in school. Despite being a good kid with good grades, Ben struggles a lot both physically and mentally because of his high standard mindset of wanting to score high on the SAT and getting into one of the top university. Because of the high pressure of school and wanting to be the best is the reason why Ben was so stress about school.

The idea of not performing adequately on a task is something that many people can relate too. This uncomfortable feeling can be experienced throughout many different situations. Previous research suggests that stereotypes on how people are perceived to act or perform can hinder their thought processes and impact their overall performance. This is referred to as stereotype threat. Individuals undergo stereotype threat when they feel pressure to conform to the stereotype that is present. Stereotype Threat is not limited to any category or situation, but has been found to be more prominent in certain areas. This paper will focus on stereotype threat effects in math performance between genders, race/ethnicity and age.

From this research of females and their stereotyped personalities,

She created a resume study looking at whether participation in college athletics affects employment after graduation. She had four different resumes that had equal content and she manipulated the names on the resume by using the census’ top names for white and black people, as well as randomly assigning which resume had sports. By taking advantage of PrePP from the psychology department at Simmons as well as paying people on Amazon to take her survey on which resume they would hire. She found that white people were more hirable than black people due most likely to internalized racism. Also, she found that participation in sports had a less hirable rate presumably due to women’s gender roles that playing sports made a woman less lady-like. She also said that black individuals received a smaller penalty for playing sports that white individuals and she linked this stereotype of black individuals being more aggressive and athletic, so they are not held to the same femininity standard as white women. She split her data from Simmons college student, then white Simmons college students and found that white Simmons college students compensated for their internalized misogyny by accidently enforcing racial stereotypes. White Simmons college students ranked black Simmons athletes an 8 from a scale from 1 to 10 on hire-ability when the average rating was a 6, she said it was mostly likely due to their white guilt. I asked her why did she decided to do this study, and she said she did a preliminary study focusing on hire-ability and sports and she wanted to add race. I also gave her the idea of adding social economic status into her research because most people of color play sports for college scholarship and that maybe a reason to why they are penalized less, playing sports could be their way of affording

Seemingly, another problem was that our class could not agree on the stereotype always because of differing opinions and what each of us thought the stereotype of the character was. At times, multiple stereotypes were shown to fit a central character that picking just one proved to be difficult. We felt the need to categorize every single character and were reluctant to not stereotype any because we wanted to find one. In the end, our stereotypes list was too broad; there needed to be a narrower list of stereotypes for the central characters. Because our sample was so minuscule, we discovered that larger samples are better for statistics. Additionally, our audience should be aware that the categories used in this study were very artificial. The audience should also realize that the stereotype categories we chose to use for our research purposes are, in no way, true for every white person or person of color. There are plenty of other stereotypes that could suffice instead of the ones we chose, or there may, in fact, be no stereotype at all. Thus, another challenge faced was operationalizing

One way in which a stereotype differs from a scientific generalization is that a stereotype does not change with the introduction of new evidence. Scientific generalizations rely on correct evidence, whereas a stereotype will ignore new evidence. It is important to social scientists that scientific generalizations remain accurate. Social scientists want to correctly learn about and understand the individual, therefore, they must be using evidence that reflects what their generalizations claim. When a person uses stereotypes, they are less concerned

I conceal my face with layers of makeup hoping that half a bottle of BB cream will be enough to make me as flawless as Kylie Jenner look on the cover of Seventeen magazine. I use innumerous acne medications, aspiring to be as unblemished as the girls in the Clean and Clear commercials. I reject bags of M&Ms and fudge brownies thinking that my sacrifices will make me “love my body” as much as the emaciated Victoria Secret models love theirs (see appendix A). I routinely shave my legs and armpits and pluck my eyebrows with fear of becoming the hairy woman the media deems horrendous. I do everything, yet feel like I am nothing. Nothing compared to the beautiful women pictured on television, magazines, and

Perhaps the biggest limitation to this study is the lack of prior research on the topic. In addition, the 3:1 female to male ratio of participants limits us from getting a good picture of the role gender may play. Also, the data was self-reported by subjects, therefore there is a chance it is not reliable. The surveys were taken online via SurveyMonkey, and taking a survey online can result in participants taking the surveys in a multitude of environments. For instance, the environment may be distracting, which would prove to be a limitation for us if this interfered with the participant taking the survey. Also demographics…location…surfey

In a study from college students in 1983 compared to a study from adults in 2014, “The researchers found that despite greater diversity in the 2014 sample, people continue to strongly stereotype men and women on personality traits (e.g. kindness, competitiveness), gender role behaviors (e.g. tending the house, upholding moral and religious values), occupations (e.g. registered nurse, engineer) and physical characteristics (e.g., delicate, deep voice)” (phys.org). Stereotypes encourage gender roles, and since the stereotypes from the 1980’s have not changed much from more recently, that shows that the roles have not changed as much as what would be hoped

According to Anna Siyanova-Chanturia, Paul Warren, Francesca Pesciarelli, and Cristina Cacciari in the 2015 article, “Gender stereotypes across the ages” “Findings suggest that information about the stereotypical gender associated with a role noun is incorporated into the mental representation of this word and is activated as soon as the word is heard. In addition, our results show differences between male and female participants of the various age groups, and between male- and female-oriented stereotypes, pointing to important gender