Student Research Assistant- Social Network Analysis (MR-QAP)

Chapman University Careers • Irvine, CA

21h

About The Position

The undergraduate research assistant will support a faculty-led research project examining how algorithmically generated student groups influence compatibility, stigma reduction, and interaction quality in first-year STEM classrooms. The study uses Social Network Analysis ( SNA ) to model relationship formation and collaboration patterns, with a specific focus on Multiple Regression Quadratic Assignment Procedure (MR- QAP ) statistical modeling.

Requirements

• Strong Python programming skills (required)
• Experience with data analysis libraries (e.g., pandas, numpy, statsmodels)
• Comfort working with relational data structures and matrix-based statistics
• Strong attention to detail and ability to work independently

Responsibilities

• Clean, structure, and manage relational network datasets
• Implement and validate MR- QAP analyses using Python
• Conduct additional SNA metrics (e.g., centrality, density, modularity)
• Assist with data visualization and interpretation of network graphs
• Document reproducible workflows and statistical procedures
• Contribute to research reporting and manuscript preparation as appropriate

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: No Education Listed