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| Semester | spring semester 2020 |
| Course frequency | Every spring sem. |
| Lecturers | Michael Simon (m.simon@unibas.ch, Assessor) |
| Content | • A lecture-seminar-exercise format will be used, with 30-60 minute lectures, 60 minute seminars and 60 minute exercises. • Introduction to common statistical analysis such as exploratory data analysis, applied regression analysis, and common psychometric analyses explored with examples from health and nursing sciences. • Development, execution and documentation of an analyses plan • Introduction to and application of principles of reproducible research. • Practical training in R programming and analytical techniques. |
| Learning objectives | Statistics is ubiquitous in medical and nursing research. Clinicians and nurse researchers need to understand basic statistical concepts, be able to interpret statistical results and conduct basic statistical analyses themselfs. The course "Understanding statistics with R (2)" is the second part of a course to learn statistics and to apply it in the statistical programming language R. The second part of this series focusses on planning and conducting analyses in health research. The course will provide students the basis to understand and apply basic statistical techniques in the context of nursing research. With the successful completion of the course students will be able to: 1. Understand basic concepts of statistics 2. Developing and applying a basic analytical plan 3. Implement statistical reporting for research papers 4. Apply principles of reproducible research |
| Bibliography | Please bring your own laptop with installed R and RStudio. 1) Install R: https://cran.r-project.org/ 2) Install RStudio: https://www.rstudio.com/products/rstudio/download/ If you would like to brush up your R skills, please consider to participate in one of the numerous online tutorials. To get everything set-up: 1) Datacamp: https://www.datacamp.com/courses/free-introduction-to-r 2) 2) EdX: https://www.edx.org/course/explore-statistics-r-kix-kiexplorx-0 Helpful Sources R reference card on ADAM Cheat sheets on ADAM Not mandatory books: Fox, J., & Weisberg, S. (2010). An R companion to applied regression. Sage. Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models: Cambridge University Press. Literature in preparation of lectures will be posted online on ADAM. |
| Comments | Einsatz digitaler Medien. Unterrichtssprache: Deutsch & Englisch Weitere Dozierende/Assistierende sind Sarah Musy / Narayan Sharma |
| Weblink | Login ADAM |
| Admission requirements | Nur für Studierende aus dem Studiengang Pflegewissenschaft. Successful participation in “10537 - Statistical Methods I: Understanding Statistics with R". |
| Course application | Anmelden: Belegen; Abmelden: Institut |
| Language of instruction | German |
| Use of digital media | Online, mandatory |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul Grundkenntnisse der quantitativen und qualitativen Forschung (Master's Studies: Nursing) |
| Assessment format | continuous assessment |
| Assessment details | The exams consist of a written analysis plan (pass/fail, 10% of the course grade) and a written report of the analysis (3000 words, 90% of the course grade). Please be aware it is not possible to revise the written report. |
| Assessment registration/deregistration | Registration: course registration: deregistration: institute |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,1 |
| Repeated registration | one repetition |
| Responsible faculty | Faculty of Medicine |
| Offered by | Institut für Pflegewissenschaft |