2023-2024 / PSYC5896-3

Descriptive and inferential psychostatistics (part 2)


30h Th, 30h Pr

Number of credits

 Bachelor in psychology and education : speech and language therapy6 crédits 
 Bachelor in psychology and education : general6 crédits 


Etienne Quertemont

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course follows Descriptive and inferential psychostatistics, part 1. The course deals with statistical procedures to analyse data from more complex research designs: power analysis, analysis of variance for simple, factorial, repeated measure et mixed designs, multiple comparisons of means, Kruskal-Wallis test, Friedman's test, point-biserial correlation, Spearman's rank correlation, Kendall's concordance coefficient, partial correlations, covariance analysis, multiple regression, factorial analysis.

The course emphasizes the use of statistical procedures in situations that psychologists 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 psychology, speech and language therapy and education, with sophisticated statistical treatments and to accurately interpret the results
- Read and understand the results of scientific studies that include sophisticated statistical analyses, especially analyses of variance
- Adopt a critical approach toward the generalization of findings from sample measures.

Prerequisite knowledge and skills

Descriptive and inferential psychostatistics, part 1 (PSYC5895).
The course requires a good knowledge of basic mathematics

Planned learning activities and teaching methods

Exercises are provided with each chapter of the course and are weekly corrected during practicals

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

Face-to-face course

Additional information:

Face-to-face classes

Recommended or required readings

A theoretical syllabus and a syllabus with exercises are provided.

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.

Work placement(s)

Organisational remarks and main changes to the course


Teacher: E. Quertemont, Tel: 04/366.21.05, equertemont@uliege.be
Practicals: V. Didone, Tel: 04/366.22.63, vdidone@uliege.be

Association of one or more MOOCs