|Audience|| Doctoral researchers in medicine (members of medRSD) |
Scientific researchers of Faculty of Medicine at HHU
|Costs|| 650 € for external participants |
Free for doctoral researchers and research associates at the Faculty of Medicine of HHU
|Registration||medRSD: See below how to register|
In the training programme of medRSD:
3 days - Professional Skills
In the curriculum of PhD in Medical Sciences:
3 days either Basic or Cluster Curriculum
PD Dr. phil. Frauke Schultze-Lutter
Klinik und Poliklinik für Psychiatrie und Psychotherapie
Kliniken der Heinrich-Heine-Universität Düsseldorf
Bergische Landstraße 2
The workshop will be conducted online using a video conferencing tool. The following requirements are necessary:
- Macbook/Mac or PC/notebook with the Microsoft Office program.
- Camera (the cameras available with the above mentioned devices are sufficient)
- Microphone (the microphones available with the above mentioned devices are sufficient).
- The use of headphones is highly recommended to reduce echo effects.
- "Zoom" will be used as the platform for the workshop and video conferencing. This is free of charge for the participants. A one-time registration with an e-mail address is required.
More detailed information and instructions will be emailed to participants approximately two days before the workshop begins. Please also check your SPAM folder.
Concept of Workshop
In addition to a reasonable research question, every good and successful study needs above all a good experimental design. In order to create such a study, it is necessary to have a basic understanding of the interdependent interrelationships between the question, empirical hypotheses, study designs, error probabilities, sample size, measuring instruments (including test theoretical quality criteria), analysis methods (including their application prerequisites and their testing) and power considerations. Important issues here are, on the one hand, the operationalisation and specification of research questions, especially in the case of random sample numbers in clinical studies that cannot be freely selected, and the determination of the probable study design including the treatment of disturbing and moderating factors, and, on the other hand, the understanding of scale levels and the associated choice of analysis procedure, error probabilities and how to deal with them as well as effect strengths.
The workshop will therefore provide an introduction to the basics of experimental design as well as descriptive and inferential statistics. These will be explained using clinical examples and short exercises, with participants invited to contribute and discuss their own (questions on) study plans.
- Understanding the fundamentals of experimental design
- Understanding the basics of descriptive and inferential statistics
- Understanding the basic principles of experimental design
- Understanding the selection criteria for measuring instruments
- Understanding of the relationships between questions, empirical hypotheses, study designs, error probabilities, sample size, measurement equipment, analysis methods and power basic rules for reporting experimental design and statistics in scientific publications
- Basic knowledge (scale levels, causality principles, test plan designs, control of confounding variables)
- Design of experiments (questions, dependent and independent variables, choice of measuring equipment, internal or ceteris paribus validity, study designs)
- Descriptive statistics (principle of large numbers, distribution assumptions, measures of central tendency and confidence intervals)
- Inference statistics (hypothesis derivation, error types, adjustment for multiple testing, effect sizes)
- Parametric procedures (assumptions, prerequisites, effect sizes and basic test procedures for interval data)
- Nonparametric methods (assumptions, prerequisites, effect sizes and basic test methods for ordinal/nominal data)
- Correlations (species and interpretation)