High quality research is very important in modern health and social care and as such research training is an important component of our CPD provision.
This module is delivered online, and will introduce you to quantitative data analysis methods including basic and intermediate statistical concepts and procedures. You should take this module if you wish to deepen your understanding of quantitative research, or expect to engage in quantitative analysis in the future or as part of your dissertation.
The emphasis of the course is on practical applications, particularly in relation to health. The module does not cover mathematical concepts in depth although a small amount of elementary mathematics is inevitably required.
After the course you will be more knowledgeable about how to select appropriate statistical tests and methods of analysis and how to interpret statistical outputs. You will also have developed skills in the use of statistical analysis software.
This module fits well into our CPD pathway programmes: Postgraduate Certificate Health Care Practice, Postgraduate Diploma Health Care Practice, MSc Health Care Practice, MA Professional Practice or MSc Medical and Clinical Education.
After the module you will be able to:
- understand the logic of statistical description and inference
- know how to interpret basic statistics
- conduct elementary and intermediate quantitative data analysis using a statistical software package
Our expert staff
Dr Leanne Andrews is Senior Lecturer in the School of Health and Social Care. She is an experienced quantitative researcher with interests in trauma, green exercise and occupational wellbeing. She enjoys making quantitative data analysis interesting and accessible to students.
The module covers the following themes:
- Principles of data analysis, description and inference, and preparation of data for statistical testing.
- Conducting uni-and bivariate analysis, tests of association and tests of difference, multivariate analysis and regression modelling.
- Interpreting statistical output.
We understand that deciding where and what to study is a very important decision for you. We’ll make all reasonable efforts to provide you with the courses, services and facilities as described on our website. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible.
20% in-class test, 80% Exam Mark
Fees and funding
If you require further details about this module, including future course dates, please email firstname.lastname@example.org.