Program Overview
It covers statistical concepts, data preparation, model analysis, interpretation, and model validation, with a focus on healthcare applications. Assessment consists of two in-class tests, each contributing to the module mark.
Program Outline
Degree Overview:
This module is delivered online and introduces quantitative data analysis methods, including basic and intermediate statistical concepts and procedures. It is designed for individuals who want to deepen their understanding of quantitative research or expect to engage in quantitative analysis in the future or as part of their dissertation. The emphasis of the course is on practical applications, particularly in relation to health.
Objectives:
By the end of the module, students will have:
- Knowledge and understanding of the application of univariate and basic multivariate quantitative techniques.
- The ability to analyze data via suitable statistical models and correctly interpret the results.
- The ability to report the interpretation using appropriate reporting conventions.
- The ability to assess the validity of suitable statistical models, and the associated limitations of using univariate and basic multivariate quantitative techniques.
Outline:
Module Outline:
The module covers the following themes:
- Conducting uni-and bivariate analysis, tests of association and tests of difference, multivariate analysis and regression modelling.
- Interpreting statistical output.
Assessment:
This module will be 100% coursework and there will be two in-class tests – one worth 20% and the other worth 80% of the module mark.
Other:
- 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.
- 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.
