Investigating the Correlation between Demographics and Attitudes towards Contemporary Social Movements
CSEF · 2019 Behavioral & Social Sciences
Overview
Objectives Opinions about social movements may stem from demographic factors such as race, gender, etc. My hypothesis is that demographic factors will correlate with opinions on social movements such as Black Lives Matter and #MeToo. Methods Survey Monkey was used to implement a survey composed of questions that assessed the responder s demographics and opinions about the #MeToo and Black Lives Matter movements. Demographic factors such as race, gender, socioeconomic background, age, religion, etc were measured. The degree of support for contemporary American social movements was measured. Statistical measures to test for correlation (Chi squared) and to develop a predictive model (Classification and regression tree analysis [CART]) were utilized. Results 223 respondents completed the survey. Using chi squared, no correlation was found between the demographic factors assessed and opinions on the social movements. The following statistically significant correlations were identified: 1. If a respondent believes race discrimination is not occurring in the US, the respondent is more apt to be white than nonwhite (Chi squared p=0.03). 2. If a respondent believes race discrimination is not occurring in the US, the respondent is more apt to have not experienced discrimination because of their race (Chi squared p=0.01). 3. If a respondent believes race discrimination is not occurring in the US, then the respondent is more apt to believe gender discrimination is not occurring in the US (Chi squared p=0.0005). 4. If a respondent believes race discrimination is not occurring in the US, then the respondent is more apt to disapproves of the #MeToo Movement (Chi squared p=0.0001). 5. If a respondent believes gender discrimination is not occurring in the US, then the respondent is more apt to have not completed college (Chi squared p=0.03). A predictive model was created using CART, in which 90% of the respondents fit into this model [area under the receiver operator curve (AUROC)=0.9016]. The responses to three survey questions predicted the response to Do you feel racial injustice is currently occurring in the United States? This means the model is very predictive. Conclusions No correlation between demographic factors and opinions about social movements were found. A Classification and Regression Tree Analysis was created. Many statistically significant correlations were identified.
Summary statement
My project investigates the correlation between demographic factors and opinions on social movements such as Black Lives Matter and #MeToo.
Help received
I would like to thank the people who took the time and effort to complete my survey.
Competition history
- CSEF 2019
Resources
Related projects
CSEF · 2019
Fostering Racial Tolerance in High Schools: Researching Correlations between Tolerance, Activities, and Demographics
CSEF · 2007
Red County, Blue County: Are There Correlations Between a County's Demographics and How It Votes?
ISEF · 2022
American Dream or American Myth? A Linear Regression Analysis of American Attitudes as a Factor of Race and Ideology
ISEF · 2022
How Personal Biases Influence Our Voting Habits
CSEF · 2017
Analyzing Human Perspective across Age Groups through Cognitive Psychology
JSHS · 2023
Examining How Perceptions of Privilege and Anti-White Bias Correlate with Levels of Racial Trauma in White American Adults
ISEF · 2014
Testing the Significance of Racial, Age, and Gender Descriptors in Relation to Personal Interaction
ISEF · 2017
Political Trends: Examining the Future of Politics
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: California Science & Engineering Fair public projects