2023-2024 / INFO1267-1

Statistics for criminology

Duration

30h Th

Number of credits

 Master in criminology (120 ECTS)5 crédits 
 Extra courses intended for exchange students (Erasmus, ...) (Faculty of Law, Political Science and Criminology)5 crédits 

Lecturer

Etienne Quertemont

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Introduction to elementary statistical procedures : Concept of variable, measures of central tendency and variability, normal distribution, confidence intervals, hypothesis testing and inferential statistics, chi-square tests for categorical data, Student t tests for paired and independent samples, non-parametric tests, correlations and linear regressions, and analysis of variance. Included in the course will be the teaching of the use of the free software « JASP » in order to properly apply these statistical tools.
The course emphasizes the use of statistical procedures in situations that criminologists might encounter. The content of the course therefore focuses on data analysis and exercise solving

Learning outcomes of the learning unit

Upon completion of this course, students should be able to:
- Analyze data from scientific studies in criminology, with basic statistical treatments and to accurately interpret the results
- Use the software "JASP" to analyze the data
- Read and understand the results of scientific studies that include basic statistical analyses
- Adopt a critical approach toward the generalization of findings from sample measures.

Prerequisite knowledge and skills

Basic use of a computer.

Planned learning activities and teaching methods

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Additional information:

Each course session starts with a theoretical explanation of the statistical tools during the first hour, followed by a training to the use of the software « JASP » on a computer.

Recommended or required readings

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )


Additional information:

An open book written exam is organized at the end of the course. The questions essentially involve problem solving and data analysis using the software « JASP ».

Work placement(s)

Organisational remarks and main changes to the course

Contacts

Teacher: E. Quertemont, Tel: 04/366.21.05, equertemont@uliege.be

Association of one or more MOOCs