Below is a list of academic publications, including articles, conference proceedings, book chapters, and books.

  • Andrews, M., Justice, L. (2021). Statistical Analysis of Intervention Studies in Forensic Psychology. In Winder, B., Blagden, N., Hamilton, L., Scott, S. (Eds.), Forensic Interventions for Therapy and Rehabilitation: Case Studies and Analysis. Routledge. [more]
  • Andrews, M. (2021). Doing Data Science in R: An Introduction for Social Scientists. SAGE Publishing, London, UK. [more]
  • Jones, G., Cabiddu, F., Andrews, M., Rowland, C. (2021). Chunks of phonological knowledge play a significant role in children’s word learning and explain effects of neighborhood size, phonotactic probability, word frequency and word length. Journal of Memory and Language. 119, (104232). [more]
  • Wider, C., Mitra, S., Andrews, M., Boulton, H. (2020). Age-related differences in postural adjustments during limb movement and motor imagery in young and older adults. Experimental Brain Research. 238, (771-787). [more]
  • Pilling, M., Guest, D., Andrews, M. (2019). Perceptual Errors Support the Notion of Masking by Object Substitution. Perception. 48, (138-161). [more]
  • Andrews, M., Justice, L. (2019). The Replication Crisis. In Banyard, P., Norman, C., Dillon, G., Winder, B. (Eds.), Essential Psychology (3rd Ed). SAGE Publishing. [more]
  • Andrews, M. (2018). Some reflections on the replication crises: Reviews of "The Seven Deadly Sins of Psychology" and "Rigor Mortis". The Cognitive Psychology Bulletin. 3, (22-24). [more]
  • Andrews, M. (2017). Review of 'The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice' by Chris Chambers. The Psychologist. 30, (58-59). [more]
  • Andrews, M. (2017). A Bayesian Model of Memory for Text. In Gunzelmann, G., Howes, A., Tenbrink, T., Davelaar, E. (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [more]
  • Andrews, M., Baguley, T. (2017). Bayesian Data Analysis. In Hopkins, B., Geangu, E., Linkenauger, S. (Eds.), The Cambridge Encyclopedia of Child Development (2nd Ed). Cambridge University Press. [more]
  • Baguley, T., Andrews, M. (2016). Handling Missing Data. In Robertson, J., Kaptein, M. (Eds.), Modern Statistical Methods for HCI. Springer. [more]
  • Andrews, M., Frank, S., Vigliocco, G. (2014). Reconciling Embodied and Distributional Accounts of Meaning in Language. Topics in Cognitive Science. 6(3), (359-370). [more]
  • Davies, J., Gander, P. E., Andrews, M., Hall, D. A. (2014). Auditory network connectivity in tinnitus patients: a resting-state fMRI study. International Journal of Audiology. 53(3), (192-198). [more]
  • Andrews, M. (2013). Probabilistic Language Modeling with Hidden Stochastic Automata. In Knauff, M., Pauen, M., Sebanz, N., Wachsmuth, I. (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [more]
  • Vigliocco, G., Kousta, S. T., Vinson, D. P., Andrews, M., Del Campo, E. (2013). The Representation of Abstract Words: What Matters? Reply to Paivio's (2013) Comment on Kousta et al. (2011). Journal of Experimental Psychology: General. 142(1), (288-291). [more]
  • Andrews, M., Baguley, T. (2013). Prior approval: The growth of Bayesian methods in psychology. British Journal of Mathematical and Statistical Psychology. 66(1), (1-7). [more]
  • Vinson, D. P., Andrews, M., Vigliocco, G. (2013). Giving words meaning: Why better models of semantics are needed in language production research. In Goldrick, M., Ferreira, V., Miozzo, M. (Eds.), Oxford Handbook of Language Production. Oxford University Press. [more]
  • Vigliocco, G., Andrews, M. (2012). The Limitations of the Distributional Hypothesis: Augmenting Distributional Statistics with Experiential Data. In Valentina, B., Irene, R., Pier Marco, B. (Eds.), Language and the brain - Semantics. Bulzoni Editori. [more]
  • Andrews, M. (2011). A Review of "Doing Bayesian Data Analysis: A Tutorial Using R and BUGS" by John K. Kruschke. British Journal of Mathematical and Statistical Psychology. 64, (538-541). [more]
  • Kousta, S. T., Vigliocco, G., Vinson, D. P., Andrews, M., Del Campo, E. (2011). The Representation of Abstract Words: Why Emotion Matters. Journal of Experimental Psychology: General. 140(1), (14-34). [more]
  • Andrews, M., Vigliocco, G. (2010). The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation. Topics in Cognitive Science. 2(1), (101-113). [more]
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2009). Integrating Experiential and Distributional Data to Learn Semantic Representations. Psychological Review. 116(3), (463-498). [more]
  • Vigliocco, G., Meteyard, L., Andrews, M., Kousta, S. T. (2009). Toward a Theory of Semantic Representation. Language and Cognition. 1(2), (219-247). [more]
  • Andrews, M., Vigliocco, G. (2009). Learning Semantic Representations with Hidden Markov Topic Models. In Taatgen, N., van Rijn, H. (Eds.), Proceedings of the 31st Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [more]
  • Andrews, M., Vinson, D. P., Vigliocco, G. (2008). Inferring a Probabilistic Model of Semantic Memory from Word Association Norms. In Love, B. C., McRae, K., Sloutsky, V. M. (Eds.), Proceedings of the 30th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [more]
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2007). Evaluating the Contribution of Intra-Linguistic and Extra-Linguistic Data to the Structure of Human Semantic Representations. In McNamara, D. S., Trafton, J. G. (Eds.), Proceedings of the 29th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [more]
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2005). The Role of Attributional and Distributional Information in Semantic Representation. In Bara, B. G., Barsalou, L. W., Bucciarelli, M. (Eds.), Proceedings of the 27th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [more]
  • Andrews, M., Vigliocco, G., Vinson, D. P. (2005). Integrating Attributional and Distributional Information in a Probabilistic Model of Meaning Representation. In Honkela, T., Könönen, V., Pöllä, M. (Eds.), Adaptive Knowledge Representation and Reasoning. [more]
  • Andrews, M., Salzberg, C. (2004). Sexual and Asexual Paradigms in Evolution: The Implications for Genetic Algorithms. In Deb, K. (Eds.), Genetic and Evolutionary Computation -- GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer. [more]
  • Andrews, M. (2003). Language Learning and Nonlinear Dynamical Systems. Doctoral Dissertation. Cornell University, Ithaca, New York.
  • Andrews, M. (2001). Language Learning by Vector Field Estimation. In Moore, J. D., Stenning, K. (Eds.), Proceedings of the 23rd Annual Meeting of the Cognitive Science Society. Cognitive Science Society. [more]
  • Spivey, M., Andrews, M., Richardson, D. (1999). On computational and behavioral evidence regarding Hebbian transcortical cell assemblies. Behavioral and Brain Sciences. 22(2), (302-302). [more]