References
- 1Berkovich, R., & Meiran, N. (2023). Pleasant emotional feelings follow one of the most basic psychophysical laws (Weber’s law) as most sensations do. Emotion, 23(5), 1213–1223. DOI: 10.1037/emo0001161
- 2Berkovich, R., & Meiran, N. (2024). Both pleasant and unpleasant emotional feelings follow Weber’s law but It depends how you ask. Emotion, 24(5), 1180–1189. DOI: 10.1037/emo0001343
- 3Brooks, S. P., & Gelman, A. (1998). General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7(4), 434–455. DOI: 10.1080/10618600.1998.10474787
- 4Brown, S. D., & Heathcote, A. (2008). The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychology, 57(3), 153–178. DOI: 10.1016/j.cogpsych.2007.12.002
- 5Dinstein, I., Heeger, D. J., & Behrmann, M. (2015). Neural variability: Friend or foe? Trends in Cognitive Sciences, 19(6), 322–328. DOI: 10.1016/j.tics.2015.04.005
- 6Forstmann, B. U., Ratcliff, R., & Wagenmakers, E.-J. (2016). Sequential sampling models in cognitive neuroscience: Advantages, applications, and extensions. Annual Review of Psychology, 67(1), 641–666. DOI: 10.1146/annurev-psych-122414-033645
- 7Givon, E., Berkovich, R., Oz-Cohen, E., Rubinstein, K., Singer-Landau, E., Udelsman-Danieli, G., & Meiran, N. (2023). Are women truly “more emotional” than men? Sex differences in an indirect model-based measure of emotional feelings. Current Psychology, 42, 32469–32482. DOI: 10.1007/s12144-022-04227-z
- 8Lin, Y.-S., & Strickland, L. (2020). Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods. The Quantitative Methods for Psychology, 16(2), 133–153. DOI: 10.20982/tqmp.16.2.p133
- 9Macmillan, N. A., & Creelman, C. D. (2004). Detection theory: A user’s guide. Psychology Press. DOI: 10.4324/9781410611147
- 10Pleskac, T. J., Yu, S., Hopwood, C., & Liu, T. (2019). Mechanisms of deliberation during preferential choice: Perspectives from computational modeling and individual differences. Decision (Washington, D.C.), 6(1), 77–107. DOI: 10.1037/dec0000092
- 11Pooley, C. M., & Marion, G. (2018). Bayesian model evidence as a practical alternative to deviance information criterion. Royal Society Open Science, 5(3), 171519. DOI: 10.1098/rsos.171519
- 12Ratcliff, R., & McKoon, G. (2008). The Diffusion Decision model: Theory and data for two-choice decision tasks. Neural Computation, 20(4), 873–922. DOI: 10.1162/neco.2008.12-06-420
- 13Ratcliff, R., & Smith, P. L. (2004). A comparison of sequential sampling models for two-choice reaction time. Psychological Review, 111(2), 333–367. DOI: 10.1037/0033-295X.111.2.333
- 14R Core Team. (2020). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing.
https://alexd106.github.io/Rbook/ - 15Schubert, A.-L., & Frischkorn, G. T. (2020). Neurocognitive Psychometrics of Intelligence: How Measurement Advancements Unveiled the Role of Mental Speed in Intelligence Differences. Current Directions in Psychological Science, 29(2), 140–146. DOI: 10.1177/0963721419896365
- 16Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & van der Linde, A. (2014). The deviance information criterion: 12 years on. Journal of the Royal Statistical Society, 76(3), 485–493. DOI: 10.1111/rssb.12062
- 17Sripada, C., & Weigard, A. (2021). Impaired evidence accumulation as a transdiagnostic vulnerability factor in psychopathology. Frontiers in Psychiatry, 12. DOI: 10.3389/fpsyt.2021.627179
- 18van Maanen, L., & Miletić, S. (2021). The interpretation of behavior-model correlations in unidentified cognitive models. Psychonomic Bulletin & Review, 28(2), 374–383. DOI: 10.3758/s13423-020-01783-y