Feature Request: Enhancing ChatGPT’s CFA/SEM Capabilities
Hello OpenAI Team,
I would like to submit a feature improvement request to enhance ChatGPT’s ability to perform Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) at the same level as AMOS.
Currently, ChatGPT can assist with basic statistical analysis, but to be more effective for researchers, I suggest the following improvements:
Requested Enhancements:
Native CFA/SEM analysis without requiring external Python libraries.
Computation of key model fit indices, including:
CFI (Comparative Fit Index)
TLI (Tucker-Lewis Index)
RMSEA (Root Mean Square Error of Approximation)
SRMR (Standardized Root Mean Square Residual)
Chi-Square & Degrees of Freedom
Generation of Structural Equation Models (SEM diagrams) similar to AMOS, with interactive visualization capabilities.
Automated dataset analysis (Excel/CSV) to determine the optimal number of factors.
Interactive statistical models that allow researchers to modify parameters in real-time.
My Question:
How can I formally submit this feature request to OpenAI’s development team?
Is there a specific process or form for submitting enhancement proposals?
My Contact Information:
Name: Ahmed Ammar
Email: [my email]
Phone Number: 009647732226255
Institution: University of Al-Qadisiyah, College of Education, Department of Educational and Psychological Sciences, Graduate Studies, Educational Technology Specialization
Thank you, and I look forward to your response regarding the submission process!