Current Projects

Click on our current projects to see what our lab is working on

Cognitive Control Processes

Researching how the mind exerts control over goal-directed behaviour

Computational Cognitive Models

Applying theoretical models to understand cognition

Cognition in Clinical Populations

Applying our basic research to tackle clinical and applied questions

Scientific Reproducibility & Replication

How reproducible are scientific findings? How can we improve reproducibility?

Publications

(2022). The evolution of primate short-term memory. Animal Behavior & Cognition, in press.

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(2021). Improving research quality: The view from the UK Reproducibility Network institutional leads for research improvement. BMC Research Notes, 14, Article 458.

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(2020). Exploring the impact of mindfulness on false-memory susceptibility. Psychological Science, 31, 968–977.

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(2020). Beliefs about voices in voice-hearers: The role of schema functioning. Behavioural and Cognitive Psychotherapy, 48, 584–597.

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(2019). Cognitive function, self-awareness, and neuroimaging findings in OCD-type presentations after Traumatic Brain Injury. Panamerican Journal of Neuropsychology, 13, 15–28.

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(2019). Increased cognitive control after task conflict? Investigating the n–3 effect in task switching. Psychological Research, 83, 1703–1721.

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(2019). The effect of aging on response congruency in task switching: A meta-analysis. Journals of Gerentology Series B: Psychological Sciences & Social Sciences, 74, 389-396.

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(2018). Impulse control disorder in Parkinson’s disease: A meta-analysis of cognitive, affective, and motivational correlates. Frontiers in Neurology, 9: 654.

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(2018). Justify your alpha. Nature Human Behavior, 2, 168–171.

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(2018). Risky decision-making and affective features of impulse control disorder in Parkinson’s disease. Journal of Neural Transmission, 125, 131–143.

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(2017). The effect of episodic retrieval on inhibition in task switching. Journal of Experimental Psychology: Human Perception & Performance, 43, 1568–1583.

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(2017). Inhibition in task switching: The reliability of the n−2 repetition cost. Quarterly Journal of Experimental Psychology, 70, 2419–2433.

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(2017). Does familial risk for alcohol use disorder predict alcohol hangover?. Psychopharmacology, 234, 1795–1802.

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(2016). A deficit in familiarity-driven recognition in a right-sided mediodorsal thalamic lesion patient. Neuropsychology, 30, 213–224.

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(2016). Response to a comment on 'Estimating the reproducibility of psychological science'. Science, 351, 1037.

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(2016). The effect of alcohol hangover on choice response time. Journal of Psychopharmacology, 30, 654–661.

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(2016). Time for insulting reviews to stop. The Psychologist, 29, 158.

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(2015). Estimating the reproducibility of psychological science. Science, 349, 943.

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(2015). The effect of n–3 on n–2 repetition costs in task switching. Journal of Experimental Psychology: Learning, Memory, & Cognition, 41, 760–767..

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(2015). The effect of practice on n–2 repetition costs in set switching. Acta Psychologica, 154, 14–25..

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(2015). Can time-based decay explain temporal distinctiveness effects in task switching?. Quarterly Journal of Experimental Psychology, 68, 19–45..

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(2014). Task switching and cognitive control. New York, NY: Oxford University Press.

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(2014). Task switching and cognitive control: An introduction. In J.A. Grange & G. Houghton (Eds.), Task switching and cognitive control, New York, NY: Oxford University Press.

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(2014). Models of cognitive control in task switching. In J.A. Grange & G. Houghton (Eds.), Task switching and cognitive control, New York, NY: Oxford University Press.

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(2014). A critical analysis of alcohol hangover research methodology for surveys or studies of effects on cognition.. Psychopharmacology, 231, 2223–2236.

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(2014). The replication recipe: What makes for a convincing replication?. Journal of Experimental Social Psychology, 50, 217–224..

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(2013). What's all this business about Bayes?. PsyPAG Quarterly, 89, 12–13.

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(2013). The Reproducibility Project: A model of large-scale collaboration for empirical research on reproducibility. In V. Stodden, F. Leisch, & R. Peng (Eds.), Implementing Reproducible Computational Research (A Volume in the R Series), New York, NY: Taylor & Francis..

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(2013). On costs and benefits of n–2 repetitions in task switching: Towards a behavioural marker of cognitive inhibition.. Psychological Research, 77, 211–222.

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(2012). An open, large-scale, collaborative effort to estimate the reproducibility of psychological science. Perspectives on Psychological Science, 7, 657–670.

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(2012). Cost–benefit and distributional analyses of accessory stimuli. Psychological Research, 76, 626–633.

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(2011). CDF-XL: Computing cumulative distribution frequencies of reaction time data in Excel. Behavior Research Methods, 43, 1023–1032.

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(2011). Task preparation and task inhibition: A comment on Koch, Gade, Schuch, & Philip (2010). Psychonomic Bulletin & Review, 18, 211–216.

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(2011). Control of working memory contents during task switching. In E.S.Levin (Ed.), Working Memory: Capacity, Development, & Improvement Techniques. New York, NY: Nova Science Publishers..

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(2010). Heightened conflict in cue–target translation increases backward inhibition in set switching. Journal of Experimental Psychology: Learning, Memory, & Cognition, 36, 1003–1009.

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(2010). Cue-switch costs in task-switching: Cue priming or control processes?. Psychological Research, 74, 481–490.

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(2009). Temporal cue–target overlap is not essential for backward inhibition in task switching. Quarterly Journal of Experimental Psychology, 62, 2069–2080.

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(2009). The role of cue–target translation in backward inhibition of attentional set. Journal of Experimental Psychology: Learning, Memory, & Cognition, 35, 466–476.

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(0001). .

CV

Click here for a copy of my CV.

Blog Posts

A reviewer has asked myself and my co-author to conduct some additional analysis using latent change score modelling for a computational cognitive modelling paper we have submitted. As I have absolutely no idea how to conduct any form of structural equation modelling, I am asking the universe (i.e., you!) for help. If you can help, please do reach out. I am conducting all analysis in R, so will be looking to use the (seemingly excellent) lavaan package.

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Final Year Psychology students across the UK are busy preparing their experimental work. Many students will be conducting correlation studies. Several of my own students are using correlation methods to explore the relationship between aspects of cognition and severity of certain clinical disorders (for example depression). A typical question I receive from students is “How many participants do I need for my study?” For my students I have developed a “Power Table for Correlations” to help them answer this question.

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Today marks my 10 year anniversary of working at Keele University. On the one hand it feels like a blink of an eye, and yet on the other a lifetime. (Well, as I am 38 years old, a quarter of a lifetime.) I started my lectureship in Psychology at Keele on the 1st July 2010, 3 weeks before I obtained my PhD. Imposter syndrome was—and still is—alive and well.

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In 2015, I published my first ever R package: “trimr: An implementation of common response time trimming methods”. To date, this package has had over 5,600 downloads from CRAN, which is unbelievable! 3 years is a long time for a package, so I thought it was time to update the package, fix some bugs, and implement some additional functionality. To this end, I have spent some time over the past few days working on a new release.

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I have spent the past day or so transporting my acedemic website from Wordpress to the current website, which is written using the (superb!) R package ‘blogdown’. I made the change for a variety of reasons: I am now able to use R for most things—analysis, simulations, writing papers using papaja and now my website—making my workflow more efficient (and high on the nerd-scale). I could never really get my wordpress site to look sleek and professional.

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