Introduction to Meta-Analysis (DUH200)
This course provides an introduction to systematic reviews with a meta-analysis. There are many different types of systematic reviews, but they all have in common that they are a synthesis of existing knowledge, and they utilize transparent and explicitly defined procedures to find, evaluate and synthesize the results of relevant research with minimum bias. In this course, systematic review with a meta-analysis, which is used to analyze and synthesize quantitative research, will be covered.
This course will provide a step-by-step guide for meta-analyses, from developing a research question suited for a meta-analysis to analyze and interpret the data. The course also aims at developing a methodological understanding of both the strengths and weaknesses of meta-analyses.
KCE collaborates nationally and internationally, and we will involve our partners in delivering PhD courses, ensuring that PhD students have access to a wide range of prominent researchers in the field.
Course description for study year 2023-2024
Course code
DUH200
Version
1
Credits (ECTS)
5
Semester tution start
Spring
Number of semesters
1
Exam semester
Spring
Language of instruction
English
Content
1. What are systematic reviews with a meta-analysis?
Here, you will become acquainted with what a meta-analysis is, the value of meta-analyses, as well as its strengths and weaknesses.
2. Stages of a systematic review that includes a meta-analysis
The course will provide an overview of the stages of a systematic review from problem formulation through literature searching, screening, data extraction, meta-analysis and interpretation. At each stage, you will get practice at conducting the methods using freely available tools.
3. Meta-analysis methods
The course will provide an introduction to the three main effect sizes used in meta-analysis: standardized mean differences, correlations and odds ratios. You will also be introduced to basic meta-analysis methods, including estimating the mean effect size and exploring effect size heterogeneity. Graphical techniques for presenting effect sizes and exploring publication bias will also be discussed.
4. Critically appraising research articles in a meta-analysis
Following the introduction to systematic review and meta-anlaysis, we will carefully examine research articles in a meta-analysis and discuss their quality using different appraisal tools and knowledge gained in the course.
Learning outcome
Knowledge
By completion of this course, the PhD candidate will have knowledge about:
- What a meta-analysis is and main principles of evidence synthesis methods
- The phases in conducting a meta-analysis/ Planning a meta-analysis
- Statistical analysis including various effect sizes, heterogeneity, moderator analysis, publication bias
- Interpreting the results/evidence
Skills
By completion of this course, the PhD candidate will have gained following skills:
- Framing a relevant research question suited for meta-analyses
- Building a high-quality search strategy
- Screening for eligible studies
- Data extraction including assessing the quality of research articles in a meta-analysis
- Methods for meta-analysis including computing effect sizes and exploring effect size distributions
General competences
- Critical research literacy
- Statistical analysis knowledge
Required prerequisite knowledge
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Portfolio evaluation | 1/1 | Passed / Not Passed |
Coursework requirements: at least 80% attendance. Exam: Course Assessment: Pass / fail based on the following: Weight Duration Marks Aid Portfolio evaluation Active participation and completion of small assignments during the course, as well as a final paper (min 2000-3000 words), which includes evaluating an existing meta-analysis. The portfolio is assessed (pass/fail) and participants will receive constructive feedback on their paper.