What This Document Is
This document is a final project completed for Emory University’s Introduction to Statistical Inference (QTM 100) course in Spring 2016. It analyzes data from the Spring 2016 Academic Misconduct Survey to explore potential relationships between student characteristics and reported academic dishonesty—specifically, having someone else sign in for them in class.
Why This Document Matters
This project is intended for students and instructors interested in the application of statistical methods to real-world data within the context of academic integrity. It demonstrates how statistical tests can be used to identify potential correlations, even if those correlations do not imply causation. It’s a deliverable for a QTM 100 student, showcasing their ability to apply course concepts.
Common Limitations or Challenges
This analysis is based on a limited sample (275 students from three QTM 100 sections) and a single semester, which may introduce sampling and response biases. The findings may not be generalizable to the entire Emory University student population. The project acknowledges this limitation.
What This Document Provides
The full document includes: a description of the data and variables used; the results of two-sample t-tests and chi-squared/Fischer’s exact tests; a table summarizing key statistics (mean GPA, anxiety levels, etc.) for “cheaters” and “non-cheaters”; a discussion of statistical significance; and a brief acknowledgement of limitations. The R code used for the analysis is also provided. This preview does *not* include the full statistical output, the complete R code, or a detailed interpretation of the statistical results.
