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Education: E-learning virtual campus:
CIREM offers distance-learning Modules and Courses for students who wish to carry out health-related research.
Each of the Modules is freestanding. However, it is recommended that Modules 1, 2 and 3 are taken together.
| Module: |
Title and content (Courses that include this Module): |
| 1 |
Develop and Refine a Research Question: How
to choose a research topic, develop and define a research question and
set aims and objectives. |
| 2 |
Search the Literature: how to carry out a comprehensive
literature search using relevant online facilities. |
| 3 |
Critically Evaluate the Literature: an introduction
to the process of critical evaluation of published original research papers
and the preparation of a critical literature review. |
| 4 |
Overview of Qualitative and Quantitative Research,
and Research Design Issues: the definition and goals of qualitative
and quantitative research, types of study design and their advantages
and limitations. |
| 5 |
Statistics in the Research Process: the statistical
issues that are relevant when designing a study: (1) sampling from populations,
(2) reducing the potential for bias, (3) choosing an outcome measure,
(4) planning the analyses and (5) determining a sample size. |
| 6 |
Economic Evaluation of Health Care Programmes:
definitions of the terms used, and the main methods of evaluation, cost-effectiveness
analysis, cost–utility analysis and cost-benefit analysis. |
| 7 |
Questionnaire Design and Survey Methods: the basic
principles of questionnaire design, how to design a survey, the advantages
and disadvantages of mailing questionnaires and interviews, and techniques
for increasing response rates. |
| 8 |
An Introduction to Interviewing: a comprehensive
introduction to the process of interviewing, including the strengths and
weaknesses of the approach, the types of interviews that can be conducted
and many of the practicalities involved in conducting research interviews. |
| 9 |
Ethics, Data Management and Research Governance:
ethical issues in research, research governance, data collection, properties
of data, and legal requirements of the Data Protection Act. |
| 10 |
Statistics Issues in Data Analysis 1: Probability
and distribution, objectives of inference, standard error and standard
deviation, confidence intervals. |
| 11 |
Statistics Issues in Data Analysis 2 |
| 12 |
Prepare a Research Protocol and Conduct a Pilot Study:
guidance for writing a research protocol and conducting a pilot study. |
| 13 |
Introduction and Background to Survey Methods in Human Research: course outline and overview, objectives, learning outcomes and glossary of terms. (Survey Methods in Human Research) |
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