Statistics 3, Clinical Track

2019-2020

Course Objective

The objective of the clinical track of Statistics 3, is twofold: 1)
students learn to carry out statistical analyses to individually answer
psychological research questions, and 2) students learn to understand
and interpret statistical analyses as to critically evaluate existing
academic knowledge regarding psychological questions.

During Statistics 3, students will learn to examine hypotheses in which
multiple variables either simultaneously or jointly have an impact. The
focus is on applying models in which one or more response variables are
predicted on the basis of one or more explanatory variables. The
response variables can be quantitative or categorical and can be
observed repeatedly.

Statistics 3 covers statistical techniques that are prevalent clinical
psychological research. These techniques are used in non-experimental
research (e.g. longitudinal cohort studies) as well as experimental
research (e.g. intervention studies).

Course Content

After a short introduction of Statistics 1 and 2 (regression- and
variance analysis), linear models are discussed in which multivariate
relationships are considered (e.g. mediation and moderation) as well as
models for repeated measures. These models are applied to data sets
derived from -or based on- existing clinical psychological research. The
emphasis of the course is on translating a research question into a
model, statistical testing of this model through data analysis and
interpretation of the results in light of the research question.
Analyses are performed in SPSS. In addition, students practice their
understanding of these and similar techniques by analysing (parts of)
research articles.

Teaching Methods

Lectures (2x per week)
Tutorials (1x per week)

Method of Assessment

Exam - assessment of the theoretical content covered in Agresti & Finlay
(2009/2014/2018), Warner (2012) and the lectures and counts for 50%
towards the final grade.

Some exam questions deal explicitly with the content covered in
Statistics 1 and 2.

Assignment- assessment of the understanding and application of several
analytical skills covered in the practice and homework assignments and
in the tutorial sessions and counts for 50% towards the final grade.

Entry Requirements

There are no formal entry requirements, yet it is difficult to succeed
in Statistics 3 without Statistics 1 and 2

Literature

Warner, R. M. (2013). Applied statistics: from bivariate through
multivariate techniques: from bivariate through multivariate techniques.
2nd Edition. Sage. Chicago ISBN: 9781412991346

In addition, references will be made to the literature used in
Statistics 1 and 2.

Additional Information

Individual grades (exam and final assignment) are also valid in the next
year. This also goes in 2017-2018 for individual grades obtained in
2016-17.

General Information

Course Code P_BSTAT3KL
Credits 6 EC
Period P4
Course Level 300
Language of Tuition Dutch / English
Faculty Fac. of Behavioural and Movement Science
Course Coordinator dr. C.P.B.J. van Klaveren
Examiner dr. C.P.B.J. van Klaveren
Teaching Staff dr. C.P.B.J. van Klaveren
prof. dr. M. Meeter

Practical Information

You need to register for this course yourself

Teaching Methods Seminar, Lecture