Descriptive and Inferential Statistics

2018-2019

Course Objective

Learning outcomes:

Knowledge and understanding - The student has acquired knowledge and
understanding of:
(1) elementary methods and techniques of descriptive and inferential
statistics.

Application - The student has acquired the competences to:
(2) use the appropriate descriptive statistics given the available data
(in
SPSS);
(3) apply several elaboration models;
(4) use statistical techniques to test the difference between two groups
(i.c. t-test), and to apply them in SPSS;
(5) use statistical techniques to test the association between
variables (i.c. correlation coefficient and regression analysis), and to
apply them in SPSS;
(6) draw a table with relevant statistical information and how to ‘read’
such tables.

Course Content

This course offers an overview of techniques to describe quantitative
data. Topics are, among others, mean, variance, correlation and
regression. Using the elaboration model students learn to interpret the
relation between two variables controlling for the effects of a third
variable. This course also offers an overview of statistical techniques
how to analyze collected
data in order to test hypotheses. Afterwards a student is able to
formulate hypotheses, to test them, to draw correct conclusions, to show
the relation between levels of significance, p-values, statistical
power, and statistical errors. During SPSS tutorials all techniques will
be applied.

Teaching Methods

Lectures and practical tutorials

Method of Assessment

Written examination (multiple choice) and SPSS assignments.

Literature

Alan Agresti & Christine Franklin. Statistics: the Art and Science of
Learning from Data (3rd edition, 2013).
Also possible: Alan Agresti, Christine Franklin & Bernhard Klingenberg.
Statistics: the Art and Science of Learning from Data (4th edition,
2018).

Also possible: Gerhard G. van de Bunt (compiler). Descriptive and
Inferential
Statistics in the Social Sciences (2011). Pearson Custom Publishing.

Recommended:
Software-package SPSS, for instance via Surfspot
(https://www.surfspot.nl/). It is always possible to use SPSS at the VU,
but there are not that many public computers and often these computers
are booked. In these cases SPSS cannot be used.

Target Audience

1st year bachelorstudents in Cultural Anthropology and Development
Sociology

Custom Course Registration

In this course you can not enroll yourself for the tutorials, but you will be assigned by the course coordinator. Note: You do have to register for the course, with the corresponding parts!

General Information

Course Code S_DIS
Credits 6 EC
Period P4
Course Level 100
Language of Tuition English
Faculty Faculty of Social Sciences
Course Coordinator dr. J.C. Muis
Examiner dr. D. Pavlopoulos
Teaching Staff dr. D. Pavlopoulos

Practical Information

You need to register for this course yourself

Teaching Methods Lecture, Practical*

*You cannot select a group yourself for this teaching method, you will be placed in a group.