Staff profile

Apostolos Fakis


Researcher

Subject

Mathematics, Health, Social, and Community Work

College

College of Health and Social Care

Department

School of Allied Health and Social Care

Research centre

Health and Social Care Research Centre

Campus

Kedleston Road, Derby Campus

Email

a_fakis@yahoo.com

About

I am currently enrolled within the College of Health and Social Care at the University of Derby as a part time Doctorate research student undertaking the Dr of Health and Social Care Practice programme. I am working with Dr. Michael Townend (Director of Studies), Dr Helen Stoneley (Supervisor) and Dr Rachel Hilliam (Supervisor). The main aim of my research is to develop a new mixed method for analysing qualitative information from interviews using statistical analysis.

Professional interests

I am also working full time as Head of Medical Statistics and Data Management in Derby Clinical Trials Support Unit, Derby Teaching Hospitals NHS Foundation Trust. My role is to lead the statistics and data management teams in order to provide high-quality services about statistics, data management, randomisation and databse build to researchers who woul dlike to design and conduct a research project. I am involved in the planning and conduct of Randomised Control Trials, case-control, longitudinal, cohort, cross-over, questionnaire, evaluation, commercial and non commercial studies. I am also responsible for estimating the sample size, undertaking the statistical analysis, interpretation of results and reports of those studies. Finally I am helping the investigators to produce a statistically correct paper ready for publication on peer reviewed journal.

Research interests

My research interest as research student lies on the development of new mixed method for secondary quantitative analysis of primary results derived from qualitative analysis. Many researchers, especially in the mental health area, prefer to collect qualitative data for answering the primary question of their project. My intention is to analyse the qualitative results derived from the interviews using quantitative methods for answering their primary question.

Following a systematic literature review (Fakis et.al, 2013), a new mixed method, called Enosis, has been developed for explore existing hypothesis and generating new ones. It can be applied to any qualitative dataset that satisfies five essential requirements about the minimum sample size, the structure of the qualitative themes, the unit of qualitative analysis, the presence of a sub-theme and the structure of the qualitative interview.

The `Enosis' method consists of the following two steps:

  1. Quantifying the themes, which have been produced through the original qualitative analysis, using a scoring system and
  2. Applying Structural Equation Modeling on the estimated scores from step 1.

The themes from the primary qualitative analysis can be quantified using three different scoring systems, the `Frequency', the `Proportion' and the `References', which take into account the structure of the themes (overarching, superordinate and sub-themes), the level of prevalence and ‘endorsement’ of the themes by the interviewees.

You can read more about an application of the Enosis method to a qualitative dataset, which was primary analysed using IPA in the Fakis et.al, 2015 paper. My research project is currently in progress and any contribution, comment or advice from other researchers is highly welcomed.

Membership of professional bodies

Qualifications

Recent conferences

Additional interests and activities

I really love playing handball. I started at the age of 12 in Greece and I am currently playing in UK as I am member of the Nottingham Handball Club since 2005. I also like playing and watching football. I am also keen on traveling around England and Europe.

Recent publications