Back
| Semester | fall semester 2022 |
| Course frequency | Every fall sem. |
| Lecturers |
Catherine Blatter (catherine.blatter@unibas.ch)
Sarah Naima Musy (sarah.musy@unibas.ch) Michael Simon (m.simon@unibas.ch, Assessor) |
| Content | 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 themselves. The course "Understanding statistics with R (1)" is the first part of a series of three courses to use the statistical programming language R to learn statistics. 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. Analyse quantitative data and apply fundamental statistical techniques 3. Understand basic statistical reporting in research papers 4. Apply principles of reproducible research |
| Learning objectives | - A three-hours session with a mix of lectures, seminars and exercises. - Introduction to fundamental concepts of statistics such as significance, p values, power or randomisation are explored with examples from health and nursing sciences. - Introduction to common statistical approaches such as parametric, non-parametric tests, correlation and regression. - Introduction to and application of principles of reproducible research. - Practical training in R programming and basic analytical techniques. |
| Bibliography | Fakultative Bücher: - Crawley, Michael J. Statistics. John Wiley & Sons, 2015. - Maindonald, John, and John Braun. Data analysis and graphics using R: an example- based approach. Cambridge University Press, 2010. We do not recommend any specific books at this stage, however if you like to have a book, the two mentioned above are good options. Weitere Kursliteratur zur Vorbereitung auf die Vorlesungen wird bei Bedarf auf ADAM bereitgestellt. bitte eigenes Laptop mitnehmen |
| Comments | Sessions will be made available through Panopto. bitte eigenes Laptop mitnehmen! |
| Weblink | ADAM |
| Admission requirements | Aufnahme in den Studiengang Pflegewissenschaft PhD-Studierende aus DPH können nur nach Zustimmung der Kursleitung teilnehmen |
| Course application | bitte in Services belegen |
| Language of instruction | English |
| Use of digital media | Online, mandatory |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Monday | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Date | Time | Room |
|---|---|---|
| Monday 26.09.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 03.10.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 10.10.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 17.10.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 24.10.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 31.10.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 07.11.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 14.11.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 21.11.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 28.11.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 05.12.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 12.12.2022 | 09.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Monday 19.12.2022 | 09.15-12.00 | Botanik, Hörsaal 00.003 |
| Monday 23.01.2023 | 09.15-11.15 | Bernoullistrasse 28, Seminarraum U01 |
| Monday 13.02.2023 | 09.30-12.00 | Bernoullistrasse 28, Seminarraum U01 |
| Modules |
Modul Grundkenntnisse der quantitativen und qualitativen Forschung (Master's Studies: Nursing) |
| Assessment format | record of achievement |
| Assessment details | Written exam (100%) Falls die Prüfung nicht bestanden ist, wird die Wiederholungsprüfung am Montag, 13.02.2023 von 9:30-12:00 Uhr stattfinden. Q&A für die Wiederholungsprüfung findet am 23.01.2023 von 09:15-11:15 Uhr statt. All students should participate in the group exercises in order to register for the exam. Further information will be given per course start. |
| Assessment registration/deregistration | Registration: course registration: deregistration: institute |
| Repeat examination | one repetition, best attempt counts |
| Scale | 1-6 0,5 |
| Repeated registration | one repetition |
| Responsible faculty | Faculty of Medicine |
| Offered by | Institut für Pflegewissenschaft |