Back
| Semester | fall semester 2021 |
| 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 lecture-seminar-exercise format will be used, with 30-60 minute lectures, 60 minute seminars and 60 minute 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 switchtube. 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 | USB Gebäude B, Hörsaal 1 |
| Date | Time | Room |
|---|---|---|
| Monday 27.09.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 04.10.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 11.10.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 18.10.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 25.10.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 01.11.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 08.11.2021 | 09.15-12.00 | - Online Präsenz -, -- |
| Monday 15.11.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 22.11.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 29.11.2021 | 09.15-12.00 | - Online Präsenz -, -- |
| Monday 06.12.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| Monday 13.12.2021 | 09.15-12.00 | - Online Präsenz -, -- |
| Monday 20.12.2021 | 09.15-12.00 | USB Gebäude B, Hörsaal 1 |
| 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, 14.02.2022 von 9:30-12:00 Uhr stattfinden. Q&A für die Wiederholungsprüfung findet am 24.01.2022 von 09:15-11:15 Uhr statt. |
| 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 |