300322 VU Biological Data: introduction to statistics and SPSS (2021S)
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 11.02.2021 08:00 to Th 25.02.2021 18:00
- Deregistration possible until We 31.03.2021 18:00
Details
max. 28 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
There is a theoretical part (Schaman) and a practical part (Windhager) of the course. Both will be taught weekly. The course will be conducted online via Moodle (mode: digital).
KICK-OFF MEETING: Thursday March 5, 2021: 2:30 p.m.. Those who do not attend, will be deregistered so that students from the waiting list succeed, if they have not excused themselves in written form in advance (email to sonja.windhager@univie.ac.at).Theoretics part: on Tuesdays 5:00 p.m. – 7:30 p.m.Practical part: on Fridays 2:30 p.m. – 5:00 p.m.Equivalent to 300015 UE Applied Statistics for Anthropologists.
It is highly recommended to use a personal computer or laptop and to purchase an individual SPSS license (approx. 30 Euro for 1 year via u:soft).
Friday
05.03.
14:30 - 17:00
Digital
(Kickoff Class)
Tuesday
09.03.
17:00 - 19:30
Digital
Tuesday
16.03.
17:00 - 19:30
Digital
Friday
19.03.
14:30 - 17:00
Digital
Tuesday
23.03.
17:00 - 19:30
Digital
Friday
26.03.
14:30 - 17:00
Digital
Tuesday
13.04.
17:00 - 19:30
Digital
Friday
16.04.
14:30 - 17:00
Digital
Tuesday
20.04.
17:00 - 19:30
Digital
Friday
23.04.
14:30 - 17:00
Digital
Tuesday
27.04.
17:00 - 19:30
Digital
Friday
30.04.
14:30 - 17:00
Digital
Tuesday
04.05.
17:00 - 19:30
Digital
Friday
07.05.
14:30 - 17:00
Digital
Tuesday
11.05.
17:00 - 19:30
Digital
Friday
14.05.
14:30 - 17:00
Digital
Tuesday
18.05.
17:00 - 19:30
Digital
Friday
21.05.
14:30 - 17:00
Digital
Friday
28.05.
14:30 - 17:00
Digital
Tuesday
01.06.
17:00 - 19:30
Digital
Friday
04.06.
14:30 - 17:00
Digital
Tuesday
08.06.
17:00 - 19:30
Digital
Friday
11.06.
14:30 - 17:00
Digital
Tuesday
15.06.
17:00 - 19:30
Digital
Friday
18.06.
14:30 - 17:00
Digital
Tuesday
22.06.
17:00 - 19:30
Digital
Friday
25.06.
14:30 - 17:00
Digital
Tuesday
29.06.
17:00 - 19:30
Digital
Information
Aims, contents and method of the course
Commonly used statistical techniques with regard to the bachelor- (or master-)thesis shall be understood theoretically and practically, as well as being applied autonomously at the end of the course.There will be one special topic for each lecture.Among others, the following topics will be included.-- Use and abuse of statistics-- Handling of the data: designing a data file, quality assurance-- Descriptive statistics-- When to use which significance test?-- Prerequisites, application and interpretation of commonly used significance tests-- Tables and figures (what, how, when, where)-- Verbal description of the computed results-- Acquiring statistics autonomously (with instructions)
Assessment and permitted materials
Attendance, oral presentation, active participation and homework (open book), final papers (theoretical part: open book, practice: no books/materials allowed). Due to COVID-19, also the practical part is changed to an open book exam.If good scientific practice is violated in any assessment, you will fail to pass the course.
Minimum requirements and assessment criteria
The following criteria have to be met in order to pass this course:
Regular attendance (at least 80% in both parts of the course), handing in both final papers, at least 51 credit points. In total, 100 points can be obtained:
Theory (50 points):
Written preparation on a statistical topic (10 points)
Active participation and homework (20 points)
Final paper (20 points)
Practice -- SPSS (50 points):
Homework (20 points)
Final paper (30 points)
Grade 1: 87 – 100 points, Grade 2: 75 – 86,99 points, Grade 3: 63 – 74,99 points, Grade 4: 51 – 62,99 points, Grade 5: < 51 points.
Regular attendance (at least 80% in both parts of the course), handing in both final papers, at least 51 credit points. In total, 100 points can be obtained:
Theory (50 points):
Written preparation on a statistical topic (10 points)
Active participation and homework (20 points)
Final paper (20 points)
Practice -- SPSS (50 points):
Homework (20 points)
Final paper (30 points)
Grade 1: 87 – 100 points, Grade 2: 75 – 86,99 points, Grade 3: 63 – 74,99 points, Grade 4: 51 – 62,99 points, Grade 5: < 51 points.
Examination topics
Each topic is introduced by the lecturers. Demonstrations on the blackboard and in the specific software will support the talk. Examples will be discussed with the students and where possible also practiced in hands-on training during the practicum. Additional literature will be provided via handouts and the elearning-platform. To study each topic in more detail, there will be small written homework to be completed within the following week. Results and questions will then be discussed in class.
Reading list
Materials will be provided via the elearning platform Moodle.
Association in the course directory
BAN 5
Last modified: Fr 12.05.2023 00:23