MS919-20 Clinical Research Analysis
Introductory description
This module introduces students to the fundamental concepts and procedures of qualitative and quantitative data analysis. It will give a practical foundation for the theoretical concepts underpinning each form of analysis, enabling students to determine the most appropriate type of analysis for different studies.
Module aims
This module enables students to:
- Understand the benefits and drawbacks of various data analysis techniques.
- Identify data analysis strategies relevant to a given research project.
- Interpret results from data.
- Communicate complex data to others.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
The outline syllabus gives an indication of the sort of topics that will be covered in the module.
- Data collection and data management.
- Selection of analysis techniques.
- Qualitative data analysis.
- Quantitative data analysis.
- Describing and summarising data.
- Interpretation of data.
Learning outcomes
By the end of the module, students should be able to:
- 1. Evaluate the conceptual underpinnings of a variety of approaches in qualitative and quantitative data analysis.
- 2. Contrast and evaluate the advantages and disadvantages of various qualitative and quantitative data analysis methodologies.
- 3. Evaluate strategies for selecting appropriate data analysis techniques.
- 4. Utilise data analysis software to interpret and explain research data.
- 5. Explain the critical components of data integrity, such as storage, management, collation, and coding for qualitative and quantitative research.
- 6. Compare and contrast statistical and clinical significance, differentiating between the reliability of results, and their impact on clinical practice.
- 7. Demonstrate the ability to critically evaluate the validity of data outcomes reported in published research.
Interdisciplinary
Clinical practice necessitates collaboration across disciplines, and it is appropriate that this is reflected in the Masters in Clinical Research. The module is designed to appeal to a range of clinical professionals, including medical, nursing, pharmaceutical, bioscience and other disciplines.
International
The course will recruit from (and be delivered in) multiple territories, and the content will be tailored to the students’ own territories, reflecting local and international standards for clinical research integrity.
Subject specific skills
Subject-specific skills that will be obtained from the module include:
- Quantitative and qualitative data analysis.
- Understanding of and experience in the use of statistical software.
- Comprehension of complex data.
Transferable skills
Improvement of a range of transferable skills, including:
- Written communication.
- Organisation and time management.
- Thinking and problem solving.
- Numeracy.
Study time
| Type | Required |
|---|---|
| Online learning (scheduled sessions) | 30 sessions of 1 hour (15%) |
| Online learning (independent) | 130 sessions of 1 hour (65%) |
| Assessment | 40 hours (20%) |
| Total | 200 hours |
Private study description
No private study requirements defined for this module.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| Clinical Research Analysis Report | 70% | 30 hours | Yes (extension) |
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A 2,000-word written report, that includes:
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Reassessment component is the same |
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Assessment component |
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| Clinical Research Analysis Examination | 30% | 10 hours | No |
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A 60-minute examination of the fundamentals of clinical research analysis, comprising MCQ and Key Feature Problem questions. |
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Reassessment component is the same |
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Feedback on assessment
The written report will be marked and moderated using a standardised rubric based on the following assessment criteria:
- analysis
- application
- communication
- evaluation
- knowledge
- understanding
Feedback, including marks, will be given electronically to students.
The pass mark is 50% overall.
It is not necessary to pass each component of the module independently.
We will apply a compensatory grading approach that will enable students to carry a failed component, as long as their aggregated mark is at least 50%.
There is currently no information about the courses for which this module is core or optional.