Course ObjectiveThe student knows the basic theory underlying elementary statistics and
is able to apply elementary statistical techniques with ESCI and SPSS.
The student is able to answer basic research questions on the basis of a
statistical analysis and is able to report on the analysis with text,
tables and figures.
Course ContentThis course introduces the basic concepts underlying applied statistics.
Its main focus is on estimation of effect sizes and confidence
intervals, and elementary statistical tests. The applied techniques that
will be introduced are aimed at description of observed data, and
estimation of and testing null-hypotheses about single population means
and proportions, differences between means and proportions, contrast
analysis of more than two means in independent and repeated measures
designs, and correlation. Tests that will be introduced are the t-test,
chi-square test, and the ANOVA F-test.
Teaching MethodsLectures (2 x 2 hours per week) and practicals (1 x 2 hours per week).
Weekly assignments (6 in total).
Method of AssessmentMultiple choice exam (50% of final grade) and assignments (50% of final
grade). Both components must be graded at least 5,0 and the average of
both components must be at least 5,5.
LiteratureCumming,C. & Calin-Jageman, R. (2017). Introduction to the new
statistics. Estimation, Open Science, & beyond. New York/London:
ISBN: 978-1-138-82552-9 (paperback)
ISBN: 978-1-315-70860-7 (e-book)
Target AudienceSecond year students in the Bachelor programme Communication and
Information Studies, Premaster's students in Applied Linguistics
Additional InformationPremaster's students in Applied Linguistics can opt for taking this
course through distance learning. Please inform the lecturer prior to
the course if you wish to do so.
|Language of Tuition||English|
|Faculty||Faculty of Humanities|
|Course Coordinator||dr. G. Mulder|
|Examiner||dr. G. Mulder|
dr. G. Mulder
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture|
This course is also available as: