This repository contains code and supplemental materials for the paper: Lee, J. C., Mills, L. Hayes, B. K., Livesey, E. J. (2021). Modelling generalisation gradients as augmented Gaussian functions. *Quarterly Journal of Experimental Psychology, 74(1)*, 106-121 ## Updated model code Updated R code to fit the augmented Gaussian function: https://github.com/jessica-c-lee/augmented-gaussian ## Re-analyses The R code to run the re-analyses reported in the paper can be found at: https://github.com/jessica-c-lee/bayesian-curve-fitting The paper re-analyses data from 3 published papers. The raw data and codebooks can be found at the OSF repositories below. **Re-analysis #1: Lovibond et al. (2019, Experiment 1)** Lovibond, P. F., Lee, J. C., & Hayes, B. K. (accepted). Stimulus discriminability and induction as independent components of generalization. Journal of Experimental Psychology: Learning, Memory, and Cognition. http://doi.org/10.1037/xlm0000779 https://osf.io/xnva4/ (NSW19) **Re-analysis #2: Lee et al. (2018, Experiment 2)** Lee, J. C., Hayes, B. K., & Lovibond, P. F. (2018). Peak shift and rules in human generalization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44, 1955-1970. http://doi.org/10.1037/xlm0000558 https://osf.io/htk6j/ (NSW09) **Re-analysis #3: Lee et al. (2019, Experiment 1)** Lee, J. C., Lovibond, P. F., Hayes, B. K., & Navarro, D. J. (2019). Negative evidence and inductive reasoning in generalization of associative learning. Journal of Experimental Psychology: General, 148, 289-303. http://doi.org/10.1037/xge0000496 https://osf.io/qd6ra/ (NSW02) The papers can be downloaded at: https://jessicaleephd.wordpress.com/publications/