Quantitative design and analysis in health science with focus on quasi-experimental research DHV220
The main aim of the course "Quantitative design and analysis in health science with focus on quasi-experimental research", is to introduce the candidate to alternative experimental research methods when a strict controlled experiment is not possible. The course covers design of cluster randomized, non-randomized and natural experiments and the statistical analysis of such experiments.
Introduction The main goal of experimental research is to test hypotheses. In medical research, the gold standard is the randomized controlled trial: The only design where causality can truly be established. However, in many instances, such designs are impossible to implement, be it for practical, ethical or other reasons. In this course, alternative designs will be demonstrated, and statistical analytical approaches to these designs will be discussed. The main focus will be on quasi-experiments, where individual randomization is not possible, but where one must study cluster randomized groups, non-randomized as well as natural experiments. The course aims to enable PhD candidates to identify possible solutions to their own research questions, and to better understand threats to internal and external validity in published quasi-experimental research.
Course description for study year 2021-2022
Semester tution start
Number of semesters
Language of instruction
Faculty of Health Sciences, Faculty of Health Sciences
Upon completion of the course, the students will be able to:
Understand the concept of causation as related to methodology and statistical analysis: when it can be achieved and when it cannot.
Understand and describe the different forms of validity, such as internal and external validity, and construct- and statistical conclusion validity
Distinguish between the different forms of experimentation and understand their advantages and disadvantages
Know the most common and relevant quasi-experimental designs and their associated statistical analyses.
Know issues related to statistical power and effect sizes
Understand the role of quasi experimental research in a broad health-science research context.
Design quasi-experiments that are applicable to the candidates own work
Analyze data from quasi-experiments
Be able to review and critique published, proposed or submitted quasi-experimental research.
Hands on training in designing quasi-experimental research, and associated statistical analyses.
Increased insight in the theory of science as related to different forms of research methodology when the research aim is to test hypotheses and establish causality.
The theory of science as related to experimental and quasi-experimental designThe concept of causality Validity: Internal, external, construct and statistical conclusions
Quasi-experimental designs and analysisNonequivalent control groups designNo-treatment control group designsnonequivalent dependent variables designsremoved treatment group designsrepeated treatment designsreversed treatment nonequivalent control groups designscohort designspost-test only designsregression continuity designsRegression discontinuity design
Statistical analysis of quasi-experimental data.
Unacceptable or very problematic research designs: Learning to spot bad design and analyses.
Required prerequisite knowledge
Master degree within health sciences, medicine, social sciences, humanities and other relevant educations.
Form of assessment
Pass - Fail
An individual paper of 5000 words (+/- 10%) in English.
Kolbjørn Kallesten Brønnick
Method of work
The course will be organized in seminars. The teaching and learning style is interactive, using presentations and discussions. The seminars will be concentrated at the beginning of the semester.
PhD candidates enrolled in PhD programmes at the University of Stavanger (Faculty of Social Sciences and Faculty of Health Sciences) or accredited universities/university colleges in Norway or abroad.
The course participants are encouraged to contribute to the course evaluation. The first evaluation form will be sent to the candidates on e-mail soon after the seminars are finished, and the second evaluation form will be sent when all papers are handed in.