Statistics 2

2019-2020

Course Objective

1. You can reproduce and explain how linear regression models (simple,
multiple, and with interaction) and analysis of variance models (oneway,
twoway and ANCOVA) are specified, estimated and tested.
2. You can sum up which assumptions are part of linear regression- and
analysis of variance models, and you can demonstrate how these
assumptions can be checked.
3. You are able to convert psychological and pedagogical problems
including three variables into hypotheses that can be tested by means of
linear regression and analysis of variance.
4. You can formulate an analysis plan in which linear regression
analysis and analysis of variance are proposed and you are able to carry
out this plan by means of an analysis in SPSS with a provided empirical
dataset.
5. You are able to report about the results of the conducted analyses
(regression and ANOVA) in the form of a scientific report.

Course Content

During Statistics 1, you have learned how to visualise, calculate and
test the differences between two groups or the relationships between two
variables, while also obtaining the confidence intervals. During
Statistics 2 you expand this knowledge. You will learn how to compare
multiple groups and how to analyze the relationships between three or
more variables. In addition, you will learn what is making models
entails. During the parallel tutor groups, you analyze data sets and
learn how to describe the statistical method, display results, and
formulate conclusions. You will independently practise calculations in a
digital learning environment.

Teaching Methods

Lectures, tutor groups, digital support.
Contact hours: 168 (28 lecture, 14 tutor group, 3 exam, 123 self-study)

Method of Assessment

- Exam and final assignment. The final grade is the weighted average of
the exam grade (60%) and the final assignment grade (40%). Both the exam
and the final grade need to be 5.5 or higher.
- Attendance requirement for the tutor groups

The grade for the examination and the final assignment (partial marks)
remain valid in subsequent academic years.

In case of a sufficient mark for the assignment from a previous year,
you are not obliged to participate in the tutorials. Also, if you
satisfy the attendance requirement for the tutorials from a previous
year, participation in tutorials this year is not mandatory. However, if
you subscribe to the tutorials, attendance requirement and active
participation does apply.

Literature

As used for Statistics 1:
- Alan Agresti & Barbara Finlay (2014). Statistical Methods For The
Social Sciences. Pearson Education International. (available via the VU
bookstore with access code to MyStatLab with assignments and exercises.)
- Workbook Statistics 2 via Canvas
- Pallant J. SPSS Survival Manual (2013, 2016) McGraw Hill
- Computer programme SPSS available via Surf.
- Starreveld, P.A. (2018). Reporting on psychological research. Boom
uitgevers, Amsterdam.

Custom Course Registration

Students sign up themselves for the course, lectures, tutorials and exam.

General Information

Course Code P_BSTATIS_2
Credits 6 EC
Period P4
Course Level 200
Language of Tuition Dutch / English
Faculty Fac. of Behavioural and Movement Science
Course Coordinator dr. M.H.M. de Moor
Examiner dr. M.H.M. de Moor
Teaching Staff dr. M.H.M. de Moor

Practical Information

You need to register for this course yourself

Teaching Methods Seminar, Lecture