This course is part of the Neurosciences master program at the VU.
It counts in the category "Courses on other subjects".
Statistical data analysis is the process of inspecting, cleaning,
transforming, and modelling data in order to test scientific hypotheses
and answer research questions. Each lecture will
theoretical background. The practicals and weekly obligatory assignments
will guide students through a series of tailored research problems that
tackle using the statistical package R. Students will receive
hands-on experience in the main steps involved in statistical analyses:
from the formulation of hypotheses, selection of the most appropriate
test, checking of assumptions, cleaning of data, and running of
analyses in R, to formally reporting the obtained results.
acquire basic statistical knowledge of e.g. research design, distributions, measurement levels of data, and statistical tests
learn to formulate hypotheses, and select the most suited statistical analysis for a particular experiment or research design.
learn to explore and test underlying assumptions, and formally report the results.
learn how to perform statistical analyses in R.
The lectures of this course will provide
an overview of quantitative methods that are frequently used in
neuroscience research. These include:
(repeated measures) ANOVA
multiple testing problem
Type I and II errors
REQUIRED BACKGROUND LEVEL
Students are assumed to be familiar with chapters 1-5, 7, and 9 of the
book "Discovering statistics using R" by Field, Miles & Field before
entering the course. The first lectures, practicals, and assignments
will provide a short review of these chapters. A short diagnostic entry
test will be provided to give students insight into their knowledge
of statistics at the start of the course.
Lectures, computer practicals, weekly assignments, written exam.
The weekly assignments are pass/fail: you need to pass all assignments
before you can participate in the exam.
168 hrs / 6 ECTs
Please note that the course will take you about 20 hours/week, due to the practicals, assignments, etc. . You are expected to participate in all parts.
This course counts for 60 hours in the ONWAR neuroscience category of the ONWAR training program. The remaining 108 hours can be used under the category other subjects