This course will cover the following subjects
• Types of Research • Developing a Research Hypothesis and Proposal • Chance, Bias and Confounding • Accuracy, Reliability and Validity • Types of Data • Statistical Concepts and Techniques • Hypothesis Testing • Regression analysis • Sample size calculation • Data Manipulation • Use of SPSS and PRISM
Teaching and learning methods
A variety of methods will be used including lectures, active participatory methods, e-learning/interactive tools for learning and self-assessment, computer demonstrations and practical exercises using computers, guided reading, group study, and individual study
TYPE HOURS
Independent Study 65
Teaching 35
Total study time 100
To provide the skills to understand how to apply research methods and statistics to evaluate the body of evidence in biomedicine By the end of this module you will be able to: • Understand what a research hypothesis is and the concept of hypothesis testing • Understand the structure of a research hypothesis and how to develop it using aims and objectives • Understand the structure of how to develop a research project from a research hypothesis • Differentiate the value of information from different types of study designs and different sources • Explain the value, nature, uses and limitations of a range of quantitative research methods • Undertake quality checking and data manipulation as necessary • Identify the appropriate use of statistical methods
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
Transferable and Generic Skills
Having successfully completed this module you will be able to:
Cognitive Skills
Having successfully completed this module you will be able to:
Assessment Strategy
The assessment for the module provides you with the opportunity to demonstrate achievement of the learning outcomes.
There will be one assessment: - a report of the analysis of a set of data appropriate to the student’s discipline
Assessment 1: Analysis of a set of data appropriate to your discipline (100%) You will demonstrate that you can:
• Analyze a set of data using GraphPad PRISM
• Modify and transform the data to create derived data
• Summarize the data in tabular or graphical form to publication-quality
• Make a comparison between groups using appropriate statistical techniques
• Report analyses to publication standard.
Assessment requirements
You must pass the module overall at 50% or above. The assessment must be passed. Candidates who fail the module at the first attempt will be permitted to re-sit a supplementary assessment as agreed by the module lead. Candidates who achieve at least 50% overall at the second attempt will be permitted to pass the module and the module mark will be capped at 50%.
Activity | Percent (%) |
---|---|
Analyze a set of data using GraphPad PRISM | 100% |
Modify and transform the data to create derived data | 100% |
Summarize the data in tabular or graphical form to publication-quality | 100% |
Make a comparison between groups using appropriate statistical techniques | 100% |
Report analyzes to publication standard. | 100% |