Publications

Baughman, F.D, Cook, S.A., Treasure, S. K., Morley, A., Dauer, E., & Haywood, D. (under review). Profiles of Academic and Cognitive Abilities Differ in Younger and Older Children from Diverse Socioeconomic Neighbourhoods. Australian Journal of Psychology.

Haywood, D., Baughman, F. D., Dauer, E., Haywood, J., Rossell, S. & Hart, N.H. (under review). It's About Time: Mitigating Cancer-Related Cognitive Impairments Through Findings from Computational Models of the Wisconsin Card Sorting Task. BMC Cancer

Haywood, D., Schwarz, A., Dauer, E., Heslop, K. H., Mullan, B. A., Baughman, F. D. (under review) Can the Ability to Infer Relevance Account for Dimensional Psychoticism? An Exploration of a Representative Community Sample. Australian Journal of Psychology.

Haywood, H, ..., Baughman, F. D. (in press). Reconceptualizing Mental Health in Cancer Survivorship. Trends in Cancer 

Haywood, D., Kotov, R., Krueger, R. F., Wright, A. G., Forbes, M. K., Dauer, E., Baughman, F. D., ... & Hart, N. H. (2024). Is it time to discard the diagnostic and Statistical Manual of mental disorders (DSM) in psycho-oncology? Cancer Letters, 216818-216818.

Haywood, D., Dauer, E., Baughman, F. D., Lawrence, B. J., Rossell, S. L., Hart, N. H., & O’Connor, M. (2023). “Is My Brain Ever Going to Work Fully Again?”: Challenges and Needs of Cancer Survivors with Persistent Cancer-Related Cognitive Impairment. Cancers, 15(22), 5331.

Haywood, D., Baughman, F. D., Bosanac, P., Johnston, K., Gnatt, I., Haywood, J., Gullifer, J., et al. (2023). Research Directions for Leveraging and Supporting the Lived Experience of Mental Illness within Psychology. Healthcare, 11(16), 2318. MDPI AG. 

Haywood, D., Wallace, I. N., Lawrence, B., Baughman, F. D., Dauer, E., & O'Connor, M. (2023). Oncology healthcare professionals' perceptions and experiences of 'chemobrain' in cancer survivors and persons undergoing cancer treatment. General hospital psychiatry, 84, 271-272.

Haywood, D., Pantaleo, A., Mullan, B. A., Heslop, K. R., & Baughman, F. D. (2023). Do Dimensional Measures of Mental Health Symptoms Predict Level of Alcohol Involvement in the General Population? Substance Use & Misuse, 1-8. doi:10.1080/10826084.2023.2177962

Haywood D, Baughman FD, Mullan BA, Heslop KR. (2022). Neurocognitive Artificial Neural Network Models Are Superior to Linear Models at Accounting for Dimensional Psychopathology. Brain Sciences, 12(8):1060. https://doi.org/10.3390/brainsci12081060

Haywood, D., Baughman, F. D., Mullan, B. A., & Heslop, K. R. (2022). What Accounts for the Factors of Psychopathology? an Investigation of the Neurocognitive Correlates of Internalising, Externalising, and the P-factor. Brain Sciences, 12(4), 421.

Haywood, D., Baughman, F.D., Mullan, B.A., Heslop, K.R. (2021). Going “Up” to Move Forward: S-1 Bifactor Models and the Study of Neurocognitive Abilities in Psychopathology. Int. J. Environ. Res. Public Health, 18, 7413. https://doi.org/10.3390/ijerph18147413

Haywood, D.; Baughman, F.D.; Mullan, B.A.; Heslop, K.R. (2021). One p-Factor for All? Exploring the Applicability of Structural Models of Psychopathology within Subgroups of a Population. Int. J. Environ. Res. Public Health, 18, 7108. https://doi.org/10.3390/ijerph18137108

Baughman, F.D., & Anderson, M. (2021). Intelligence – taking the dynamics of development seriously. In M.S.C. Thomas & D. Mareschal (Eds.), Taking development seriously: Neuroconstructivism and the multi-disciplinary approach to understanding the emergence of mind. A Festschrift for Annette Karmiloff-Smith. Taylor & Francis. 

Haywood D., Baughman F.D., Mullan B.A., Heslop K.R. (2021). Psychopathology and Neurocognition in the Era of the p-Factor: The Current Landscape and the Road Forward. Psychiatry International, 2(3):233-249. https://doi.org/10.3390/psychiatryint2030018

Haywood, D., Lawrence, B. J., Baughman, F. D.  & Mullan, B. A. (2021). A conceptual model of long-term weight loss maintenance: The importance of cognitive, empirical and computational approaches. International Journal of Environmental Research and Public Health 18 (2): 1-15.

Haywood, D., & Baughman, F. D. (2021). Multidimensionality in Executive Function Profiles in Schizophrenia: A Computational Approach Using the Wisconsin Card Sorting Task. Computational Brain & Behavior, 1-14.

Lim, E., Wynaden, D., Baughman, F. D., Heslop, K. (2020). Realising the potential of Q methodology in nursing research. Applied Nursing Research.

Allen, P. J., Finlay, J., Roberts, L. D., & Baughman, F. D. (2019). An experimental evaluation of StatHand: A free application to guide students’ statistical decision making. Scholarship of Teaching and Learning in Psychology, 5, 23-36. 

Heslop, K., & Baughman, F.D. (2017). Screening cognitive functioning in co-occurring alcohol and substance use to enhance practice and optimise recovery. Paper presented at the 43rd International Mental Health Nursing Conference, October 25-27th, Hobart, Tasmania.  

Allen, P.J., Baughman, F.D., Roberts, L.D., Van Rooy, D., Rock, A., & Loxton, N. (2017). StatHand: An interactive decision tree mobile application to guide students’ statistical decision making. Canberra, Australia: Australian Government Department of Education and Training.

Baughman, F. D., Thomas, M. S. C., Anderson, M., & Reid, C. (2016). Common mechanisms in intelligence and development: A study of ability profiles in mental age-matched primary school children. Intelligence, 56, 99-107

Allen, P. J., Roberts, L. D., Baughman, F. D., Loxton, N. J., Van Rooy, D., Rock, A. J., & Finlay, J. (2016). Introducing StatHand: A cross-platform mobile application to support students’ statistical decision making. Frontiers in Psychology, 7, Article 288.

Allen, P.J, Roberts, L.D., Baughman, F.D., & Finlay, J. (2016). Active learning in research methods classes is associated with higher knowledge and confidence, though not evaluations or satisfaction. Frontiers in Psychology, 7, 279

Loftus, Yalcin, Baughman, Hagger (2015) The impact of transcranial direct current stimulation on inhibitory control in young adults. Brain and Behaviour, 5, 1-9

Thomas, M.S.C. & Baughman, F.D. (2014). Neuroconstructivism: Understanding typical and atypical developmental trajectories. Enfance, volume 2014, issue 03, 205-236.

Thomas, M. S. C., Baughman, F. D., Karaminis, T., & Addyman, C. (2012). Modelling development disorders. In: C. Marshall (Ed.), Current Issues in Developmental Disorders. Psychology Press.

Thomas, M.S.C., Richardson, F.M., Forrester, N.A., & Baughman, F.D. (2010). Modelling individual variability in cognitive development. DNL Tech report 2010-1

Baughman, F. D. (2009). Empirical and computational investigations of the relationship between intelligence and development: Mental-Age matching studies of cognitive variability in the normal range. Unpublished thesis, London: University of London.

Thomas, M. S. C., McClelland, J. L., Richardson, F. M., Schapiro, A. C., & Baughman, F. D. (2009). Dynamical and Connectionist Approaches to Development: Toward a Future of Mutually Beneficial Co-evolution. In J.Spencer, M.S.C. Thomas & J.L. McClelland (Eds.), Toward a new unified theory of development: Connectionism and dynamical systems theory re-considered. Oxford: Oxford University Press.

Baughman, F. D., & Thomas, M. S. C. (2008). Specific Impairments in Cognitive Development: A Dynamical Systems Approach. Paper accepted to the 30th Annual Conference of the Cognitive Science Society, July 23-26, Washington, D.C, USA.

Baughman, F. D., & Cooper, R. P. (2007). Inhibition and young children's performance on the Tower of London task. Cognitive Systems Research 8(3): 216-226.

Richardson, F. M., Baughman, F. D., Forrester, N. A., & Thomas, M. S. C. (2006). Computational Modeling of Variability in the Balance Scale Task. Paper presented at the Proceedings of the 7th International Conference of Cognitive Modeling.

Richardson, F. M., Forrester, N., Baughman, F. D., & Thomas, M. S. C. (2006). Computational Modeling of Variability in the Conservation Task. Proceedings of the 28th Annual Conference of the Cognitive Science Society, 26–29.

Baughman, F. D., & Cooper, R. P. (2006). Inhibition and Young Children's Performance on the Tower of London Task. Paper accepted to the 7th International Conference of Cognitive Modeling.

Richardson, F. M., Baughman, F. D., Forrester, N., & Thomas, M. S. C. (2005). Computational Modeling of Variability in the Balance Scale Task. Paper accepted to the 7th International Conference of Cognitive Modeling.

Baughman, F. D. (2005). The role of inhibition in young children's performance on the Tower of London: A computational study. Unpublished Masters Thesis, University of London.