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Dr Sabina Hulbert completed her undergraduate degree at the University of Padua (Italy) with a specialization in Work and Industrial Psychology followed by a PhD in Social Psychology from the University of Kent in 1999. She has since been a lecturer and then senior lecturer at the University of Greenwich and at Canterbury Christ Church University. Lately, she has been appointed as an Academic Research Lead at Canterbury Christ Church University and has recently joined RDS SE as a Research Adviser. During this period she has developed significant experience in quantitative data analysis and advanced statistical techniques collaborating in number of research projects.
Sabina has been involved in a number funded projects in applied health research looking, for instance, at the positive effects that singing, manipulating artefacts in a museum context, looking at art, etc. can have on the wellbeing of Alzheimer patients and their carers. She is currently collaborating on a large scale multicentre international study testing the effectiveness of educational programs on the way Type 2 Diabetes patients manage their illness. In terms of health promotion, she has experience with large scale studies evaluating the role of physical activity in reducing the risk of Type 2 Diabetes in residents of a high risk south London area and the role of health screening in improving the wellbeing of patients with severe mental health problems. All of her research activities in applied health settings have had an element of PPI which typically results in improved measurement tools, research design and overall significance and reach.
She is an experienced supervisor having successfully supervised at Master, Clinical Doctorate, Educational Doctorate and PhD level.
Sabina has also collaborated on research projects more focussed on methodological aspects of research, like validation of measuring scales and instruments (e.g. Risk of Gang Affiliation in teenagers; assessment of cognitive abilities after brain injuries; Italian WISC-IV and WAIS equivalent) and the psychometric properties of diagnostic tools.
Her expertise focuses on quantitative research designs, construction of attitude measurement tools, validation studies, data management of large scale datasets, psychometrics, cohort studies and survey design in general.
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