These tutorials demonstrate how to use GeneralizIT for various Generalizability Theory analyses. Each tutorial provides a step-by-step guide with example code and explanations. Click the Colab badge to run the tutorials interactively in Google Colab.
GeneralizIT Tutorial
This tutorial demonstrates how to use GeneralizIT for Generalizability Theory (G-theory) analyses using a synthetic dataset. The tutorial gives a basic overview on how to use the python package as well as a brief introduction to advanced usage for complex research designs.
GeneralizIT for Analyzing ML Datasets
Machine learning practitioners often focus on model architecture and optimization techniques, but understanding the variance structure of datasets is equally crucial for developing robust models. This tutorial demonstrates how Generalizability Theory (G-theory) can provide valuable insights into machine learning datasets using MNIST as a case study.