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AIGENIE  

Automatic Item Generation and Validation via Network-Integrated Evaluation
View on CRAN: Click here


Download and install AIGENIE package within the R console
Install from CRAN:
install.packages("AIGENIE")

Install from Github:
library("remotes")
install_github("cran/AIGENIE")

Install by package version:
library("remotes")
install_version("AIGENIE", "2.1.2")



Attach the package and use:
library("AIGENIE")
Maintained by
Hudson Golino
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-08
Latest Update: 2026-09-08
Description:
Automated psychological scale development and structural validation using large language models (LLMs) and network psychometric methods. Implements the AI-GENIE framework (Automatic Item Generation and Validation via Network-Integrated Evaluation) to generate candidate items, compute embedding representations, and estimate dimensional structure using Exploratory Graph Analysis (EGA). Item quality is evaluated using Unique Variable Analysis to identify redundant items and Bootstrap EGA to assess item and dimension stability. Supports both fully automated item generation and analysis of user-provided item sets, facilitating efficient, theory-informed measurement development prior to empirical data collection.
How to cite:
Hudson Golino (2026). AIGENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation. R package version 2.1.2, https://cran.r-project.org/web/packages/AIGENIE. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for AIGENIE
Functions, R codes and Examples using the AIGENIE R package
Full AIGENIE package functions and examples
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