Resources

Resources

Article tutorials

• Multiple Methods for Visualizing Human Language: A Tutorial for Social and Behavioural Scientists

  OSF preprint

• The text package tutorial

  Full text on PsycNET.

  OSF preprint.

  Tutorial code

• The Language-Based Assessment Model (L-BAM) Library

  OSF preprint

  Tutorial code

Selected published articles advancing the text package

• Nilsson, A. H., Runge, J. M., Ganesan, A. V., Lövenstierne, C. V. N., Soni, N., & Kjell, O. N. (2025).
  Automatic implicit motive codings are at least as accurate as humans’ and 99% faster.
  Journal of Personality and Social Psychology.
  Article link

• Gu, Z., Kjell, K., Schwartz, H. A., & Kjell, O. (2025).
  Natural language response formats for assessing depression and worry with large language models: A sequential evaluation with model pre-registration.
  Assessment, 10731911251364022.
  Article link

• Nilsson, A. H., Eichstaedt, J. C., Lomas, T., Schwartz, A., & Kjell, O. (2024).
  The Cantril Ladder elicits thoughts about power and wealth.
  Scientific Reports, 14(1), 2642.
  Article link

Blog posts and tutorials

• Implicit Motives Tutorial

• Installing and Managing Python Environments with reticulate

• Creating a Singularity Container to Run HuggingFace Transformers Models in R

• How to Best Manage Computationally Heavy Analyses

• HuggingFace Language Models Are Downloaded in .cache

• HuggingFace Transformers in R: Word Embeddings Defaults and Specifications

• Pre-registration and Researcher Degrees of Freedom