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Principal Statistician

UC Davis Genome Center - Metabolomics
GBSF building room 1228
451 East Health Science Drive

Davis

CA

95618

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Education

2014                           PhD, School of Psychological Science, University of Western Australia (childhood development of executive functioning)

2009                           Honours degree in psychology (BSc (Hons.)), University of Western Australia

2005-2008                 Double undergraduate degree in science and commerce (BSc/BCom), University of Western Australia (majors: psychology, management, marketing)

1992-2004                 School education in England and Australia

Professional Employment

Feb 20-current          Statistician, Metabolomics Laboratory, University of California Davis

Mar 18-Dec 19          Postdoctoral Fellow, Department of Human Development and Family Studies, Colorado State University

Oct 16-Mar 18           Postdoctoral Fellow, Cognitive Science Lab, School of Psychological Science, University of Western Australia

Dec 15-Oct 16           Postdoctoral Fellow, School of Psychology and Exercise Science, Murdoch University

Dec 14-Dec 15         Postdoctoral Fellow, School of Psychology, University of Balearic Islands

Jan 14-Dec 14          Associate Lecturer, School of Psychology and Exercise Science, Murdoch University

Mar 10-Oct 13           Tutor, School of Psychological Science, University of Western Australia

Peer-reviewed papers

 27. Gaeta, L., & Brydges, C. R. (in press). An examination of effect sizes and statistical power in speech, language, and hearing research. Journal of Speech, Language, and Hearing Research.

26. Brydges, C. R., Carlson, M. C., Andrews, R. M., Rebok, G. W., & Bielak, A. A. M. (2020). Using cognitive intraindividual variability to measure intervention effectiveness: Results from the Baltimore Experience Corps Trial. Journals of Gerontology Series B: Psychological Sciences and Social Sciences. Advance online publication.        doi:10.1093/geronb/gbaa009

25. Brydges, C. R., & Bielak, A. A. M. (2020). A Bayesian Analysis of Evidence in Support of the Null Hypothesis in Gerontological Psychology (or Lack Thereof). Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 75(1), 58-66. doi:10.1093/geronb/gbz033

24. Brydges, C. R., & Gaeta, L. (2019). There is no meta-analytic evidence of blueberries improving cognitive performance or mood. Brain, Behavior and Immunity. Advance online publication. doi:10.1016/j.bbi.2019.10.003

23. Brydges, C. R., & Gaeta, L. (2019). Blueberries and cognitive ability: A test of publication bias and questionable research practices. Journals of Gerontology Series A: Biological Sciences and Medical Sciences. Advance online publication. doi:10.1093/gerona/glaa040

22. Brydges, C. R., & Gaeta, L. (2019).An introduction to calculating Bayes factors in JASP for speech, language, and hearing research. Journal of Speech, Language, and Hearing Research, 62(12), 4523-4533. doi:10.1044/2019_JSLHR-H-19-0183

21. Brydges, C. R., & Gaeta, L. (2019).An analysis of non-significant results in audiology using Bayes factors. Journal of Speech, Language, and Hearing Research, 62(12), 4544-4553doi:10.1044/2019_JSLHR-H-19-0182

20. Brydges, C. R. (2019). Effect size guidelines, sample size calculations, and statistical power in gerontology. Innovation in Aging, 3(4), igz036. doi:10.1093/geroni/igz036

19. Brydges, C. R., & Bielak, A. A. M. (2019). The impact of a sustained cognitive engagement intervention on cognitive variability: The Synapse project. Journal of Cognitive Enhancement, 3(4), 365-375. doi:10.1007/s41465-019-00140-9

18. Bielak, A. A. M., & Brydges, C. R. (2018). Can intraindividual variability in cognitive speed be reduced by physical exercise? Results from the LIFE study. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 74(8), 1335-1344. doi:10.1093/geronb/gby101

17. Singh, K. A., Gignac, G. E., Brydges, C. R., & Ecker, U. K. H (2018). Working memory capacity mediates the relationship between removal and fluid intelligence. Journal of Memory and Language, 101, 18-36. doi:10.1016/j.jml.2018.03.002

16. Brydges, C. R., Ozolnieks, K. L., & Roberts, G. (2018). Working memory and intraindividual variability mediate fluid intelligence deficits associated with ADHD symptoms. Journal of Attention Disorders. Advance online publication. doi:10.1177/1087054718772143

15. Brydges, C. R., & Barceló, F. (2018). Functional dissociation of latency-variable, stimulus-and response-locked target P3 sub-components in task-switching. Frontiers in Human Neuroscience, 12, 60. doi:10.3389/fnhum.2018.00060

14. Brydges, C. R., Gignac, G. E., & Ecker, U. K. H. (2018). Working memory capacity, short-term memory capacity, and the continued influence effect: A latent-variable analysis. Intelligence, 69, 117-122. doi:10.1016/j.intell.2018.03.009

13. Brydges, C. R., Reid, C. L., Campbell, C., French, N., & Anderson, M. (2018). Executive functioning (fully) and processing speed (mostly) mediate intelligence deficits in children born very preterm. Intelligence, 68, 101-108. doi:10.1016/j.intell.2018.03.013

12. Singh, K. A., Gignac, G. E., Brydges, C. R., Ecker, U. K. H. (2018). Working memory capacity mediates the relationship between removal and fluid intelligence. Journal of Memory and Language, 101, 18-36. doi:10.1016/j.jml.2018.03.002

11. Brydges, C. R., Landes, J. K., Reid, C. L., Campbell, C., French, N., & Anderson, M. (2018). Cognitive outcomes in children and adolescents born very preterm: A meta-analysis. Developmental Medicine & Child Neurology, 60, 452-468.doi:10.1111/dmcn.13685

10. Maroni, T. D., Dawson, B., Barnett, K. A., Guelfi, K. J., Brade, C. J., Naylor, L. H., Brydges, C. R., & Wallman, K. E. (2018). Effectiveness of hand cooling and a cooling jacket on post-exercise cooling rates in hyperthermic athletes. European Journal of Sport Science, 18, 441-449. doi:10.1080/17461391.2018.1425484

9. Brydges, C. R., Ozolnieks, K. L., & Roberts, G. (2017). Working memory – not processing speed – mediates fluid intelligence deficits associated with ADHD symptoms. Journal of Neuropsychology, 11, 362-377. doi:10.1111/jnp.12096

8. Clunies-Ross, K. L., Brydges, C. R., Nguyen, A. T., & Fox, A. M. (2015). Hemispheric asymmetries in auditory temporal integration: A study of event-related potentialsNeuropsychologia, 68, 201-208. doi:10.1016/j.neuropsychologia.2015.01.018

7. Campbell, C., Horlin, C., Reid, C., McMichael, J., Forrest, L., Brydges, C., … & Anderson, M. (2015). How do you think she feels? Vulnerability in empathy and the role of attention in school-aged children born extremely preterm. British Journal of Developmental Psychology, 33, 312-323. doi:10.1111/bjdp.12091

6. Brydges, C. R., Fox, A. M., Reid, C. L., & Anderson, M. (2014). The differentiation of executive functions in middle and late childhood: A longitudinal latent-variable analysis. Intelligence, 47, 34-43. doi:10.1016/j.intell.2014.08.010

5. Demetriou, A., Spanoudis, G., Shayer, M., van der Ven, S., Brydges, C. R., Kroesbergen, E. E., … Swanson, H. L. (2014). Relations between speed, working memory, and intelligence from preschool to adulthood: Structural equation modelling of 14 studies. Intelligence, 46, 107-121. doi:10.1016/j.intell.2014.05.013

4. Brydges, C. R., Fox, A. M., Reid, C. L., & Anderson, M. (2014). Predictive validity of the N2 and P3 ERP components to executive functioning in children: A latent-variable analysis. Frontiers in Human Neuroscience, 8, 80. doi:10.3389/fnhum.2014.00080

3. Brydges, C. R., Anderson, M., Reid, C. L., & Fox, A. M. (2013). Maturation of cognitive control: Delineating response inhibition and interference suppression. PLoS ONE, 8(7), e69826. doi:10.1371/journal.pone.0069826

2. Brydges, C. R., Clunies-Ross, K., Clohessy, M., Lo, Z. L., Nguyen, A., Rousset, C., … Fox, A. M. (2012). Dissociable components of cognitive control: An event-related potential (ERP) study of response inhibition and interference suppression. PLoS ONE, 7(3), e34482. doi:10.1371/journal.pone.0034482

1. Brydges, C. R., Reid, C. L., Fox, A. M., & Anderson, M. (2012). A unitary executive function predicts intelligence in children. Intelligence, 40, 458-469. doi:10.1016/j.intell.2012.05.006