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.