Pseudo Factor Analysis of Language Embedding Similarity Matrices: New Ways to Model Latent Constructs
Published in PsyArxiv, 2024
Recommended citation: Guenole, N., D'Urso, E., Samo, A., & Sun, T. (2024, April 14). Pseudo Factor Analysis of Language Embedding Similarity Matrices: New Ways to Model Latent Constructs. https://doi.org/10.31234/osf.io/vf3se https://osf.io/preprints/psyarxiv/vf3se
This paper is about the development and validation of Pseudo Factor Analysis as a modern AI-drive psychometric approach based on sentence embeddings [Download paper here](https://osf.io/preprints/psyarxiv/vf3se') Recommended citation: Guenole, N., D'Urso, E., Samo, A., & Sun, T. (2024, April 14). Pseudo Factor Analysis of Language Embedding Similarity Matrices: New Ways to Model Latent Constructs. https://doi.org/10.31234/osf.io/vf3se