Statistics problem: Comparing written work with & w/out use of AI

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SUMMARY

This discussion centers on comparing the performance of written work with and without the use of AI, specifically in the context of critical analysis. The goal is to establish a benchmark using a large sample of written samples to evaluate the impact of AI on creativity and other dimensions. The participant inquired about the appropriateness of calculating correlation coefficients for this analysis, while acknowledging the limitations of a correlational approach due to variable manipulation. The moderators indicated that personal research discussions are not permitted in this forum.

PREREQUISITES
  • Understanding of correlation coefficients and their application in statistical analysis
  • Familiarity with AI tools used for writing assistance
  • Knowledge of critical analysis criteria for written work
  • Basic principles of statistical sampling and benchmarking
NEXT STEPS
  • Research the use of correlation coefficients in evaluating writing performance
  • Explore alternative statistical methods for analyzing the impact of AI on creativity
  • Learn about AI writing tools and their functionalities
  • Investigate best practices for conducting statistical analysis in educational research
USEFUL FOR

Researchers, educators, and statisticians interested in evaluating the effects of AI on written work performance and those looking to establish benchmarks for writing quality assessment.

TULC
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I want to compare performance on written work under different conditions, for example with and without the use of AI, according to some specified criteria. Assume the written work is a critical analysis of specific content.

The written work will be scored on a number of dimensions, such as creativity etc. The goal is to gain some understanding - based on a large sample of written samples - of the extent to which AI can improve the written work. This will be a way to develop a benchmark against which we can compare individual written samples. If the correlation b/w individual written work with and w/out use of AI is sig. weaker than expected based on the analysis of a larger sample of written work, then one could argue that this warrants a question: is AI being overused by the individual?

Given the above, would calculating correlation coefficients be a good choice here? I want something simple that can be used with ease by almost anyone. At the same time, I acknowledge the fact that I am manipulating some variables, so a correlational approach may not be ideal. If so, what alternatives, if any, would you suggest?
 
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You might have more luck posting this in the statistics group. The moderators might move it if you ask them. (If you post it there yourself they will complain about a duplicate.) You can make this request by hitting the "Report" button and typing it in.
 
Thread closed for Moderation...
 
TULC said:
I want to compare performance on written work under different conditions, for example with and without the use of AI, according to some specified criteria.
This is not allowed at PF for two reasons: first, we don't allow discussion of personal research; and second, we don't allow discussions based on AI-generated content.

Thread will remain closed.
 
Hornbein said:
You might have more luck posting this in the statistics group.
Not this topic, no. See previous post.
 

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