Short courses
Health & Social Care

Quantitative Research Methods and Analysis

University Certificate in Postgraduate Continuing Education:

You gain an understanding of experimental and observational approaches to research and methods of data collection. Statistical techniques available to analyse data are focused on, with emphasis on identifying the appropriate test/method and assessing the underlying assumptions associated with it.

Course information

Part-time

  • 18 weeks

More part-time details

  • Credits: 20; Level: Master's
  • Enrolment date: January
  • Admission enquiries: 01642 384176
  • Fee for UK/EU applicants: £510

Contact details

Further information

The award enables you to critically interpret results and findings. It is for those who may be involved in the design of investigations and the collection, presentation, analysis and interpretation of quantitative data.

You develop a comprehensive and critical understanding of quantitative research designs and methods of analysis appropriate to clinical research problems. Specific topics covered include:

  • concept of measurement
  • critical evaluations
  • sample-size estimation and power analysis
  • levels of data and exploratory data-analysis
  • probability distributions
  • non-parametric methods
  • effect sizes and estimating with confidence
  • linear modelling, Assumption checking and diagnostics
  • use of dedicated data analysis software
  • practical implications and interpretation of data
  • clinical versus statistical significance
  • presentation and reporting of findings
  • ethical implications of quantitative research methods for clinical research.

Both face-to-face and online delivery are used to allow flexibility and provide you with the opportunity to learn entirely in attendance, at a distance or through a combination of the two (flexible-learning).

How you learn

Lectures, seminars/tutorials and IT laboratory sessions. For attending students, keynote lectures introduce theoretical concepts, and individual and group-based exercises encourage the application of this theory to practice.

For distance-learning students, narrated PowerPoint slides and/or detailed interactive written materials are available on the Virtual Learning Environment (VLE) (e-learning@tees) on a weekly basis following the same timetable as the class-based sessions. Individual exercises and activities requiring discussion through the VLE’s communication tools encourage the application of theory to practice.
Students opting for a flexible-learning approach choose whether to access the face-to-face session or distance-learning materials on a week-by-week basis. The flexible-learning approach therefore contains features of the attendance and distance-learning strategies.

All students are offered individual tutorial support to assist in the preparation of their summative assignment.

How you are assessed

The assessment strategy consists of two parts each carrying 50% of the overall module mark.

Part 1: 2,500 word proposal based on a given clinical research problem.

Part 2: from a given data set you select and carry out appropriate analysis. You report your findings in a 1,500 word written report.

Career opportunities

Completion of this award provides a good understanding of the issues involved with undertaking quantitative research from planning the study, to data collection and analysis, and interpreting and presenting results.

Entry requirements

Applicants should have a honours degree, 2:2 or above in a relevant subject or evidence of undergraduate research.

Course information

Part-time

  • 18 weeks

More part-time details

  • Credits: 20; Level: Master's
  • Enrolment date: January
  • Admission enquiries: 01642 384176
  • Fee for UK/EU applicants: £510

Contact details

Further information