- Conduct data analysis for a new large-N dataset of U.S. residents using advanced quantitative methods
- Data visualization and reporting of findings
- Creating tables, figures, and charts for publication and presentation
- Composing literature reviews
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- Strong quantitative analysis skills
- Able to complete analysis tasks on a deadline with minimal to no supervision.
- Experience with R
- M.A. or Ph.
- RA is expected to provide 10-12 hours of support per week to the project
- Time commitment: January - May 2023
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Temp Graduate Assistant, Quantitative Research - Brandeis, United States - Brandeis University
Description
Professor Amber Spry seeks a graduate research assistant with experience in quantitative data analysis to support a project on social group identity in United States politics.
The RA will assist with preliminary data analysis for a survey experiment measuring the impact of identity (race, gender, ideology, religion) on political attitudes and behaviors.
The RA should be skilled in data analysis and able to perform tasks such as data visualization, creating tables and figures, multivariate regression analysis, other advanced forms of quantitative analysis, and data manipulation in R.
The RA may also assist with writing literature reviews for publications related to the project, and should possess basic knowledge of causal inference and intergroup behavior in United States politics.
This project will be of interest to graduate students whose work engages political science, identity politics, gender and women's studies, and related disciplines.
This opportunity is for remote work and will involve occasional zoom meetings, but the RA will not be required to work from location on the Brandeis campus.
Duties and Responsibilities:
Required Skills and Qualifications:
Compensation:
* $25 per hour
Brandeis University is committed to providing its students, faculty and staff with an environment conducive to learning and working and where all people are treated with respect and dignity.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, ethnicity, caste, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or Massachusetts law.
