Quantitative Research and Analysis

  • Do you want to understand research that uses quantitative methods?
  • Do you want to develop critical skills to be able to critique the use of numbers in reports, academic journals or even the media?
  • Do you want an accessible module that enables participants to develop practical applied skills required to analyse data using statistical software SPSS?

 If yes, then this module is for you!

Quantitative data underpins some of the most important and informative research in the health and social sciences. Having a quantitative basis to your learning is a powerful means of developing your critical abilities and furthering your career.

Study method: Part-time, Full-time, Online

MRes Health using PC
  • Module code NURP005 / NURP006
  • Start date 17 September 2018
  • Application deadline 15 July
  • Duration 15 weeks or 30 weeks
  • Days on campus 0
  • Credit value SCQF 11 20
  • Fees £512
  • Overseas Fees £840
Apply now

Entrance Requirements

The module is suitable for professionals from a wide range of health and social care backgrounds, as well as students from other academic disciplines.

Objectives

By the end of the module we aim for students to be able to demonstrate:

  • an understanding of the methods and concepts of quantitative research;
  • a knowledge of data sources;
  • a critical understanding of why we use quantitative approaches;
  • a proficiency in the use of SPSS statistical software for analysis of data;
  • an ability to communicate findings clearly and concisely;
  • an ability to apply knowledge of methods to analysis.

Structure and Content

This module:

  • provides an accessible introduction to quantitative analysis;
  • includes both theoretical and practical content;
  • uses lectures and reading to explain the theory behind the use of statistics;
  • gives you the opportunity to carry out guided analysis with support via 'listen again podcasts, worksheets and Q&A sessions via real-time online seminars.

The course is intended to provide an accessible introduction with a focus on developing an intuitive understanding of how statistics work. The aim is to enable you to understand journal papers based on statistical approaches.  It also aims to give you a solid foundation to support your own development of quantitative research projects in the future.

You will be encouraged to consider how the application of quantitative research methods can be utilised in your own area of practice.

Delivery and Assessment

The module will be delivered online.

You will be given access and instructions to download SPSS statistical analysis software as part of the module.

Worksheets provide a practical opportunity for you to carry out some basic analysis and are a mandatory part of the course.

You will also be given a set of short answer questions relating to analysis of provided data.

Module Co-ordinator(s)

Mairi Harper

Application deadline Sun, 15 Jul 2018 23:00:00 BST

Career opportunities

The MRes Health Research is designed for students who wish to pursue a variety of different careers in health where research is a core component. Students wish to make a contribution to applied research in a range of contemporary health and social contexts.

Most of our students are employed as health professionals whilst they study part-time with us. When they complete their studies most students will stay in their clinical speciality but use their enhanced research skills/knowledge in their roles e.g. by conducting their own research or service evaluations.

Some students wish to use their Masters study as preparation for a PhD. Our students have been very successful in gaining recognition for their research work and for winning funding for PhD study.

Employability

The majority of our students are already working in health or social care prior to commencement and remain employed throughout the duration of their studies.

Our students develop a wide range of transferable skills during their study that make them attractive to other employers, eg:

  • team working;
  • IT skills;
  • literature searching;
  • critical appraisal;
  • presentation skills;
  • writing and data analysis.
© University of Stirling FK9 4LA Scotland UK • Telephone +44 1786 473171 • Scottish Charity No SC011159
Portal Logon