Dr Oleg Medvedev

BA (Psychology), BHS (Honours), PhD, Auckland University of Technology

Biography

Oleg is a Research Fellow at the Centre of Medical and Health Sciences Education (CMHSE) at the University of Auckland. His research work focuses on health psychology and includes assessment of psychological interventions such as mindfulness and measurement of health-related outcomes. He has completed PhD degree in Psychology and Health at the Auckland University of Technology, which focused on application of modern psychometrics such as Rasch analysis and Generalisability Theory to investigate and improve accuracy of measuring mindfulness and health-related outcomes. 

Oleg has lectured for undergraduate and postgraduate papers including Health Psychology, Advanced Research, Psychological Assessment, Brain and Behaviour and Introductory Research Methods. He is a current and active member of the Outcomes and Measurement Cluster of the Centre for Person Centred Research (PCRC) at the Auckland University of Technology.

Research | Current

Oleg's research focuses on health psychology, psychometrics and measurement. He is work on investigating psychological and physiological mechanisms (e.g. mindfulness) that can be utilised as drug free treatments for psychological health conditions and for improvement of health and well-being. His work naturally involves development and improvement of psychometric measurement. Oleg applies modern psychometrics and statistics to analyze clinical and non-clinical datasets to investigate the relationships between psychological factors and health-outcome that involves enhancement of outcome measurement.

Areas of expertise

Health Psychology, Psycholmetrics, Classical Test Theory, EFA, CFA, Rasch analysis, Generalizability Theory, Psychological and Health Measurement

Selected publications and creative works (Research Outputs)

  • Medvedev, O. N., Krägeloh CU, Narayanan, A., & Siegert, R. J. (2017). Measuring mindfulness: Applying Generalizability Theory to distinguish between state and trait. Mindfulness, 8 (4), 1036-1046. 10.1007/s12671-017-0679-0
  • Medvedev, O. N., Siegert, R. J., Kersten, P., & Krägeloh CU (2017). Improving the precision of the Five Facet Mindfulness Questionnaire using a Rasch approach. Mindfulness, 8 (4), 995-1008. 10.1007/s12671-016-0676-8
  • Medvedev, O. (2017). Measuring Mindfulness and Health-Related Outcomes: Applying Rasch Analysis and Generalisability Theory to Improve Reliability and Validity of Scales Auckland University of Technology. Auckland University of Technology. Related URL.
    URL: http://hdl.handle.net/2292/35208
  • Medvedev, O. N., Siegert, R. J., & Krägeloh CU (2017). Using Generalisability Theory to distinguish between state and trait in psychometric measurement. Paper presented at Research Seminar at the University of Auckland, Medical and Health Sciences, Auckland, New Zealand. 8 May - 8 May 2017.
  • Medvedev, O. N., Krägeloh CU, Hill, E. M., Billington, R., Siegert, R. J., Webster, C. S., ... Henning, M. A. (2017). Rasch analysis of the Perceived Stress Scale: Transformation from an ordinal to a linear measure. Journal of Health Psychology, 135910531668960-135910531668960. 10.1177/1359105316689603
    Other University of Auckland co-authors: Marcus Henning, Craig Webster, Roger Booth
  • Feng, X. J., Krägeloh CU, Medvedev, O. N., Billington, D. R., Jang, J. Y., & Siegert, R. J. (2016). Assessing mechanisms of mindfulness: Improving the precision of the Nonattachment Scale using a Rasch model. Mindfulness, 7 (5), 1082-1091. 10.1007/s12671-016-0546-4
  • Medvedev, O. N., Siegert, R. J., & Krägeloh CU (2016). Measuring Mindfulness: Rasch Approach. Paper presented at The Second International Conference on Mindfulness, Rome. 11 May - 15 May 2016. Related URL.
  • Medvedev, O., Siegert, R. J., Kerston, P., & Krägeloh CU (13/5/2016). Measuring mindfulness at interval level: Transformation of the Five Facet Mindfulness Questionnaire using Rasch approach. Poster presented at The Second International Conference on Mindfulness, Rome, Italy. Related URL.
    URL: http://hdl.handle.net/2292/35510