(pdfs of all papers can be downloaded from here)



Azevedo, F., Lui, M., Pennington, C., Pownall, M., Evans, T., Parsons, S., Elsherif, M., Micheli, L., Westwood, S., & Framework for Open and Reproducible Research Training (FORRT). (2022). Towards a culture of open scholarship: the role of pedagogical communities. BMC Research Notes, 15, 75. PDF

Parsons, S., Azevedo, F., Elsherif, M. M. M., Guay, S., … & Aczel, B. (2022) A Community-Sourced Glossary of Open Scholarship Terms. Nature Human Behavior. preprint: Open access link: website: PDF

Parsons, S., Todorovic, A., Lim, M., Songco, A., & Fox, E. (2022). Data and protocol for the Oxford Achieving Resilience during COVID-19 (ARC) study. Journal of Open Psychology Data 10(1), 4. PDF

Parsons, S (2022). Exploring reliability heterogeneity with multiverse analyses: Data processing decisions unpredictably influence measurement reliability. accepted for publication at Meta-Psychology. DOI:, data and code: PDF


Pownall, M., Azevedo, F., Aldoh, A., Elsherif, M. Vasilev, M., Pennington, C., Robertson, O., Vel Tromp, M., Lui, M., Makel, M., Tonge, N., Moreau, D., Horry, R., Shaw, J., Tzavella, L., McGarrigle, R., Talbot, C., **Parsons, S., & FORRT (2021). Embedding open and reproducible science into teaching: A bank of lesson plans and resources. Scholarship of Teaching and Learning in Psychology*. PDF

Lim, M. C., Parsons, S., Goglio, A., & Fox, E. (2021). Anxiety, stress, and binge eating behaviours in adolescence: a prospective approach. Journal of Eating Disorders, 9. PDF

Parsons, S., (2021). splithalf: robust estimates of split half reliability. Journal of Open Source Software, 6(60), 3041, PDF

Parsons, S., Booth, C., Songco, A., & Fox, E. (2021). Emotional information-processing correlates of mental health in adolescence: A network analysis approach. Cognition and Emotion \ Preprint:, data and code: PDF

Demkowicz, O., Panayiotou, M., Parsons, S., Feltham, A., Arseneault, L., Ingram, B., Patalay, P., Edge D.,, Pierce, M., Creswell, C., Victor, C., O’Connor, R., & Qualter, P. (2021). Looking back to move forward: Reflections on the strengths and challenges of the COVID-19 UK mental health research response. Frontiers Psychiatry. 10.3389/fpsyt.2021.622562 PDF


Songco, A., Booth, C., Spiegler, O., Parsons, S., & Fox, E. (2020). Anxiety and depressive symptom trajectories in adolescence and the co-occurring development of cognitive biases: Evidence from the CogBIAS longitudinal study. Journal of Abnormal Child Psychology, 48, 1617–1633, DOI: 10.1007/s10802-020-00694-9 PDF

Booth, C., Songco, A., Parsons, S., & Fox, E. (2020). Cognitive mechanisms predicting resilient functioning in adolescence: Evidence from the CogBIAS longitudinal study. Development and Psychopathology, 1-9. DOI: 10.1017/S0954579420000668 PDF

Dodd, H., Rayson, H., Ryan, Z., Bishop, C., Parsons, S., Stuijfzand, B. (2020). Trajectories of anxiety when children start school: The role of behavioral inhibition and attention bias to angry and happy faces Journal of Abnormal Psychology. DOI: 10.1037/abn0000623 PDF

Parsons, S. (2020). Does attention bias modification induce structural brain changes? A commentary on Abend et al. (2019). Biological Psychology, 152. DOI: 10.1016/j.biopsycho.2020.107866. Preprint: PDF


Herbert, M., Notebaert, L., Parsons, S., Fox, E., & MacLeod, C. (2019). The Effect of Varying Danger Controllability on Attention to Threat Messages. Applied Cognitive Psychology, 34(2). DOI: 10.1002/acp.3628 PDF

Parsons, S., Kruijt, A-W., & Fox, E. (2019). Psychological Science needs a standard practice of reporting the reliability of cognitive behavioural measurements. Advances in Methods and Practices in Psychological Science, 2,(4), 378-395. DOI: Preprint: PDF

Booth, C., Songco, A., Parsons, S., Heathcote, L.C., & Fox, E. (2019). The CogBIAS longitudinal study of adolescence: Cohort profile and stability and change in measures across three waves. BMC Psychology, 7, 73. DOI: 10.1186/s40359-019-0342-8 PDF

Crüwell, S., van Doorn, J., Etz, A., Makel, M.C., Moshontz, H., Niebaum, J., Orben, A., Parsons, S., & Schulte-Mecklenbeck, M. (2019). 7 Easy Steps to Open Science: An annotated reading list. Zeitschrift für Psychologie, 227, 237-248. DOI: Preprint: PDF

Kruijt, A-W., Parsons, S., & Fox, E. (2019). A meta-analysis of bias at baseline in RCTs of attention bias modification: no evidence for bias towards threat in clinical anxiety and PTSD. Journal of Abnormal Psychology, 128(6), 563-573. DOI: 10.1037/abn0000406. Preprint DOI: 10.31234/ PDF


Parsons, S. (2018). Moving forward with questions of process and procedure in cognitive bias modification research: three points of consideration. Published as an eLetter on 10.1192/bjp.2018.43. Preprint: PDF

Notebaert, L., Georgiades, J., Herbert, M., Grafton, B., Parsons, S., Fox, E., & MacLeod, C. (2018). Trait anxiety and the alignment of attentional bias with controllability of danger. Psychological Research. DOI: PDF


Lakens, et al. (2017). Justify Your Alpha: A Response to “Redefine Statistical Significance”. Nature Human Behaviour, 2, 168-171. DOI: 10.1038/s41562-018-0311-x. Preprint: PDF

Booth, C., Songco, A., Parsons, S., Heathcote, L., Vincent, J., Keers, R., & Fox, E. (2017). The CogBIAS longitudinal study protocol: cognitive and genetic factors influencing psychological functioning in adolescence. BMC Psychology, 5(1). DOI: PDF


Parsons, S, Kruijt, A-W., & Fox, E. (2016). A cognitive model of psychological resilience. Journal of Experimental Psychopathology, 7(3), 296-310. DOI: 10.5127/jep.053415 PDF

Preprints and working papers

Parsons, S., Brandmaier, A., Lindenberger, U., & Kievit. (2023). Longitudinal stability of grey matter measures varies across brain regions, imaging metrics, and testing sites in the ABCD study. Preprint:

Zavlis, O., Parsons, S., Fox, E., Booth, C., Songco, S., & Vincent, J. (December, 2022). The effects of life experiences and polygenic risk for depression on the development of positive and negative cognitive biases across adolescence: The CogBIAS hypothesis. Preprint:

Parsons, S. & McCormick, E. M. (November, 2022). “Don’t peek at your data” applies to longitudinal studies too: two time points poorly capture trajectories of change. Preprint:

Todorovic, A., Parsons, S., Chapple, L., Taylor, A., & Fox, E. (2022, April 29). Lower, not higher, trait anxiety leads to switch cost asymmetry on neutral tasks: a replication and extension of Gustavson et al., 2017.

FORRT. (2019). Introducing a Framework for Open and Reproducible Research Training (FORRT). (Co-author). Preprint: Website:

Parsons, S (2019). Visualising two approaches to explore reliability-power relationships. Preprint: