Statistical Analysis: To Apply, Interpret and Understand


Admission requirements

1. Bachelor’s degree with a major in social- or behavioural science or medicine.
2. English B.


credits 100%


Syllabus for students spring 2020, spring 2019

Course Code:
KA722E revision 2
Level of specialisation
Main fields of study:
No main fields
Date of ratification:
31 January 2018
Decision-making body:
Faculty of Health and Society
Enforcement date:
21 January 2019
Replaces Syllabus ratified:
16 December 2013

Entry requirements

1. Bachelor’s degree with a major in social- or behavioural science or medicine.
2. English B.

Specialisation and progression relative to the degree regulations

The course is given in the second term of the Masters Program in Criminology. The course is also offered as an independent course.


The aim of the course is for the student to further develop the knowledge and skill necessary to conduct univariate, bivariate and multivariate statistical analyzes, to interpret the results, and to be able to discuss the favours and flaws of the different methods.


The course begins with a lecture on univariate analysis. The course then moves on with a lecture on bivariate analysis. The main themes of the course are linear and logistic regression analysis, but other multivariate methods such as factor analysis, and variance analysis and discriminant analysis will also be presented.

Learning outcomes

Upon completion of the course, the student should be able to
1. conduct univariate, bivariate, and multivariate statistical analyzes using SPSS,
2. interpret the results of the analyzes,
3. assess the results of published statistical analyzes, and
4. present statistical analyzes in a scientifically written report.

Learning activities

The teaching takes the form of lectures and computer laboratories. The lectures will discuss a variety of statistical analytical methods’ foundations as well as their favours and flaws. The computer laboratories will provide the student with opportunities to work through assignments on available data material. The student will conduct and interpret the analysis in the assignments. The lecturer will show how to approach the assignments on a projection screen.


A written paper constitutes the basis for the examination in the course. In the report the student will conduct multivariate statistical analyzes on a data material. The main focus of the assessment is on the student’s ability to conduct statistical analyzes in SPSS and the students ability to interpret the results.

Right to re-examination
A student who fails to achieve a passing grade in the course examination will be given the opportunity to be re-examined twice according to same course content and with the same requirements. In addition, students also have the right to be examined on the same course the next time the course is offered according to the same regulations. If the course has been discontinued or undergone major changes, the student has a right to re-examination on two occasions within one year, based on the syllabus that was in place at the time the student registered for the course. Examination and re-examination take place at the times specified in the course guide.

Grading system

Excellent (A), Very Good (B), Good (C), Satisfactory (D), Pass (E) or Fail (U).

Course literature and other teaching materials

Field, A. (2013). Discovering statistics using IBM SPSS statistics. (4th edition). Thousand Oaks, California: Sage Publications.

Additional articles from scientific journals will also be included.

Course evaluation

The course coordinator/examiner is responsible for ensuring that a summary course evaluation is conducted at the end of the course. The coordinator will relay these results to the students at a prearranged time. Memory notes from the feedback , including proposals for changes to the course, will be documented and made available on the course website, and will also be relayed to the students who begin the course the next time it is given.


The education is provided by the Faculty of Health and Society at the Criminology.

Further information

Robert Svensson, Course Coordinator
Phone: 040-6657781
Maria O Driscoll, Student Administrator
Phone: 040-6657968