Embedded Files
For information about Jayden's publications please see links below
ORCID ID: 0000-0002-5749-7076
Google Scholar
Google Scholar
UWA Research Repository
UWA Research Repository
https://research-repository.uwa.edu.au/en/persons/jayden-greenwell-barnden
Publications
Publications
Publications In Progress (editing with co-authors)
Publications In Progress (editing with co-authors)
** titles are preliminary
Co-occurrence of negative life events in students: a quantitative investigation (with Dr Lies Notebaert)
Climate change anxiety: friend or foe? (with Dr Lies Notebaert and Dr Pat Clarke)
2024
2024
Greenwell-Barnden, J. N., Loft, S., Bowden, V., Bender, A., Whitney, S., Lipp, O. V., & Visser, T. A. (2024). Individual differences in multi-tasking ability moderate the benefits of using low-degree automation. Preprint available at https://osf.io/preprints/psyarxiv/jywxb
2022
2022
Bockstaele, B. V., Greenwell-Barnden, J., Todd, J., Clarke, J, F., MacLeod, C., Notebaert, L. (2022). The role of performance beliefs in the difference between self-report and behavioural measures of attentional control and their relationship with anxiety. Personality and Individual Differences, 204, 112047.
Less is More: How Individual Differences in Multi-tasking Ability Interact with Low-Degree Automation to Determine Task Performance, Cognitive Workload, and Situation Awareness. J Greenwell-Barnden/ The University of Western Australia. 2022
2019
2019
Visser, T. A., Bender, A. D., Bowden, V. K., Black, S. C., Greenwell-Barnden, J., Loft, S., & Lipp, O. V. (2019). Individual differences in higher-level cognitive abilities do not predict overconfidence in complex task performance. Consciousness and cognition, 74, 102777.
2018
2018
Hooper, J., Sutherland, C., Langdon, R., Ewing, L., Caruana, N., Connaughton, E., Williams, N., Greenwell-Barnden, J. & Rhodes, G. (2018). Should I Trust You? Autistic Traits Predict Reduced Appearance-Based Trust Decisions. (Accepted/In press) In: British Journal of Psychology.
Ashoorian, D., Albrecht, K.-L., Baxter, C., Giftakis, E., Clifford, R., Greenwell-Barnden, J., & Wylde, T. (2018). Evaluation of Mental Health First Aid skills in an Australian university population. Early Intervention in Psychiatry, 0(0). https://doi.org/10.1111/eip.12742
Training and Qualifications
Training and Qualifications
Research Integrity: Publication Ethics. A Nature Masterclasses online course (2023)
Supervisor Professional Development (UWA – for supervising Honours Students)
SBS Core Inclusion and Cultural Competency (2023)
Associate Fellow of the Higher Education Association (UK)
Bayesian Statistics – online accreditation by University of California Santa Cruze (Coursera)
Skills, Pedagogical Approaches, Resources and Knowledge (SPARK) for learning and teaching at UWA
Introduction to University Teaching UWA
Art Explora Academy - Art History Competency (validated by Sorbonne University, Paris)
First Aid Certificate
Mental Health First Aid (Nationally Accredited Course)
Brief Alcohol Intervention Training (Health Promotion Unit)
Australian AIDs Council SHARE Training (Health Promotion Unit)
Certificate IV French
Certificate II Business
Data Science Competencies
Data Science Competencies
Software and examples
Software and examples
Excel – advanced
Macros
Pivot-tables
Algorithms and formula
R – advanced
Automated data processing (large data sets)
Visualization
Data exploration and hypothesis testing
Statistical modeling (general linear, multivariate, mixed)
Python – Intermediate
Visualization – including interactive
Basic statistical tests (descriptives, t-tests, regression)
Statistical Modeling
Writing functions to automate data processing
Qualtrics – advanced
Qualitative and quantitative questionnaire creation
SPSS/ AMOS – advanced
Mediation/moderation analysis
Path analysis
Hypothesis testing
Specific Competencies and Analyses
Specific Competencies and Analyses
Cluster and Factor analysis (R, SPSS and Python)
Linear Mixed Models (R)
Structural Equation Modeling (R)
Visualization, plots and graphs (Python, R)
Item Level Analysis (R, SPSS)
Genearlised Linear Models (R)
ANOVA and Linear Regression (R, SPSS, Python)
Network Analysis (Python)
Random Walk models and MCMH (Python and R)
Basic machine learning (Python)
K-nearest neighbor classification (Python)
Basic Natural Language Processing (qualitative data) (Python)
Bootstrapping (R, SPSS)
Power analysis (R, SPSS)
Bayesian (R)
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