Statistics Final Year Topic: Effect of Category Prevalence on Cohen's Kappa and Observed Agreement

This Statistics final year project uses simulated paired ratings with controlled marginal category distributions to investigate a specific question in agreement analysis. The analysis is designed around known generating conditions so that the behaviour of competing statistical procedures can be checked.

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Why choose this project topic?

This study makes inter-rater agreement an explicit, reproducible comparison. Working with simulated paired ratings with controlled marginal category distributions lets you separate the target quantity from its estimate and explain when a statistical conclusion depends on assumptions.

How does category prevalence influence Cohen's kappa when observed agreement is held approximately comparable?

Agree the scenario ranges, sample sizes and reporting measures for inter-rater agreement before running the study.

Proposed project objectives

01Specify the data-generating conditions for simulated paired ratings with controlled marginal category distributions.
02Implement a reproducible analysis of inter-rater agreement with documented software settings.
03Evaluate the estimates and uncertainty relevant to this question: How does category prevalence influence Cohen's kappa when observed agreement is held approximately comparable?

A suggested research approach

Specify valid joint rating probabilities and generate repeated tables. Compare observed agreement, expected agreement and kappa across prevalence patterns, including confidence-interval behaviour. Write the analysis before inspecting favourable runs, record random seeds where simulation is used, and keep generated study data distinct from observed field data.

What you will need

A written design for simulated paired ratings with controlled marginal category distributions
Statistical software supporting agreement analysis and reproducible scripts
A supervisor-agreed range of scenarios and computational budget

Keep your project scope clear

Agreement coefficients depend on their target and marginals; one number should not replace examination of the underlying rating table.

Statistics project chapter outline

Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.

Chapter 1Introduction
Chapter 2Literature Review
Chapter 3Theory and Methodology
Chapter 4Results and Applications
Chapter 5Summary, Conclusion and Recommendations

Turn this topic into your own final year project.

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