Areas of Expertise
- Health Psychology
The module aims to provide a student with a deep understanding of data and information. It will examine what information is, how it is collected, manipulated, presented and interpreted and why data driven decision making is a much more subjective process than it might appear. The primary aim is to provide a strong foundation of ideas and that will properly prepare students for further study in quantitative analysis. The secondary aim is provide some of the skills necessary to manipulate and manage data.
The module aims to provide an introduction to the way in which psychologists study human behaviour. Students will be introduced to the dominant theoretical approaches within Psychology in order to understand how each approach studies and explains behaviour differently. Students will then apply this knowledge about the different theoretical approaches to evaluate how each approach explains and treats various mental health conditions such as depression, anxiety, schizophrenia, eating disorders and addictive behaviours. Students will learn some of the key principles of behaviour analysis and how they can be applied to behavioural medicine. Students will attend two tutorials that will provide an introduction to the difficulties and controversies surrounding the mental health conditions covered in the lectures, and the ethical challenges surrounding the facilitation of behaviour change. Tutorial one will involve discussion of how and why we diagnose mental health conditions and some of the controversy surrounding the DSM-V. Tutorial two will involve the ethical considerations of utilising punishment to facilitate behaviour change.
This module will build upon knowledge acquired in PM137 Introduction to Medical Psychology with regard to mental health (depression, anxiety, schizophrenia, eating disorders and addictive behaviours) by exploring contemporary research into the causes and treatment of these conditions. Students will learn about third wave psychological intervention (such as Acceptance and Commitment Therapy,Mindfulness Based Stress Reduction) as a way of treating mental health problems. Students will consider some of the current debates surrounding diagnosis of mental health problems. In this module students will be introduced to the field of Health Psychology including some key models of health behaviour, psychological aspects of illness (for example the doctor-patient relationship, non-compliance with treatment), psychological aspects of pain, and psychological aspects of stress.
This module will help students to develop the skills necessary for conducting educational research. Both qualitative and quantitative and `mixed¿ methods of data collection are studied and analysed, and the `pragmatic¿ orientation of relating research methodology to the problem being researched is outlined in depth. The practical techniques of data collection are studied in detail. Analysis of varying data types is also explained and issues to do with the design of research also explored. The ethical foundations of research are also explored.
This module aims to develop participants¿ awareness of contemporary issues in medical and healthcare education. This module will Provide the opportunity for critical discussion and appraisal of the evidence-based around those that are current/emerging topics within the field.
This module aims to develop participants¿ awareness of the key issues, principles and practice of mentoring and educational and clinical supervision both from an individual and organisational perspectives. Through engagement in theoretical and practical activities and reflection, participants will enhance their skills and practice in supporting others professional development.
This is module aims to enable the students to conduct high-quality qualitative research in education. The module will focus on the common qualitative research designs and explore the theoretical perspectives, ethical issues, epistemological standpoints and practice considerations underpinning those designs. Practical techniques of data collection, analysis, interpretation and data presentation will be explored.
This module explores the concepts, principles and applications of various approaches to data analysis and interpretation for both qualitative (including thematic content analysis) and quantitative methods (including analysis of difference, variance and relationship).