Pardeep Dharra - Analyze Legal Education Student Survey Data - 25/09/2026 14:18 EDT

Pardeep Dharra-I have a dataset of student-completed surveys from a Legal Services Education program and I want to turn those raw responses into meaningful insights on how well our students actually understand the academic material. Your task is to carry out a focused student-performance analysis, interpret what the survey tells us about their academic understanding, and shape the findings into a solid research proposal that can later be expanded into full conference or journal papers. Here is what I need from you: • Clean and code the survey responses, choosing appropriate statistical or qualitative techniques to reveal patterns in academic understanding. • Produce clear visualisations and summary tables that make the results easy to grasp for non-statisticians in the faculty. • Draft a concise research proposal (problem statement, literature context, methodology, expected outcomes, basic timeline). • Outline the structure for one full paper, including suggested sections and target journals or conferences specialising in legal education. Acceptance criteria • All analysis scripts delivered in R, Python (pandas, SciPy) or SPSS, fully commented. • Proposal length 1,500–2,000 words, formatted in APA 7th. • Insights section must explicitly link survey findings to recommendations for improving curriculum design aimed at boosting academic understanding. • Visuals supplied in both native format and high-resolution PNG. If you have a background in education research, legal studies, or advanced statistics and can deliver intellectually rigorous yet readable work, let's get started.