Duration
30h Th, 15h Pr
Number of credits
| Bachelor in psychology and education : speech and language therapy | 4 crédits | |||
| Bachelor in psychology and education : general | 4 crédits | |||
| Master in speech and language therapy (120 ECTS) | 4 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
All year long, with partial in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
This course deals with the problems encountered by researchers in psychology, pedagogy and speech therapy. Through the use of a statistical software, the course analyses and describes the traditional statistical procedures to solve those problems. Although a theoretical account synthesizes the various statistical concepts under consideration in each chapter, the course has a pragmatically character and is directed towards concrete applications. The topics taken into consideration are as follows: General information on the data processing software - the SAS Software - Data and Variables - Creation of data files - Processing the data - Elementary Statistics and Charts - Correlation and Covariance - Comparison of two Means - Tables of Contingency and Independence - Comparative Tests (means, correlations, proportions) - Multiple Linear Regression - One-way Analysis of Variance - Two-ways Analysis of Variance (factorial and nested designs) - Analysis of Covariance - Repeated Measure Designs - Nonparametric Statistics (partim)
Learning outcomes of the learning unit
First of all, the course is intended to make the students able to solve statistical problems and to use a computer by themselves. For this purpose, the students must acquire and/or develop three kinds of knowledge : statistics, data processing and the use of a specialized statistical software (SAS). This software works on Microsoft PC (native mode) and on Mac (virtual mode) In addition to theoretical knowledge, the students must also become able to master the handling of a tool and to use it correctly in various concrete situations.
Prerequisite knowledge and skills
Ideally, having passed the exam after the two previous courses of statistics. But, even a weak knowledge of statistics allows to participate in this course.
Planned learning activities and teaching methods
15 hours of practice are proposed to the students. In addition to the exercises carried out during these sessions, complementary exercises (with solutions) make the course even more clear and are proposed to the students in a specific book.
The corresponding data files are put at the disposal of all the students.
Mode of delivery (face-to-face ; distance-learning)
From the first class, the course takes place in the computer room (CAFEIM). Besides, the students are divided into three groups, which gives each of them, basing his work on concrete problems, the possibility to work individually on a CAFEIM computer or on their own laptop (pc or mac), and this in order to help them to master the use of a computer and the statistical software. Similarly, exercise sessions are carried out on a computer at CAFEIM.
Recommended or required readings
PEREE F.P., Problèmes statistiques et Utilisation de logiciels (Notes de cours), Tomes 1 et 2, 2018-2019, Editions de l'Université de Liège. PEREE F.P., Problèmes statistiques et Utilisation de logiciels (Exercices supplémentaires), Tome 3, 2018-2019, Editions de l'Université de Liège.
Assessment methods and criteria
The evaluation test takes place at the end of the academic year. Activities of supervision and preparation for the examination are organized between February and May. The evaluation test lasts three hours. Each student has to solve several concrete statistical problems on a computer and by himself. For this test, each student has his books and personal notes at his disposal. The answers to the questions of the test must be written down on the personalized questionnaire that each student received at the beginning.
Work placement(s)
Organizational remarks
In addition to the participation in the course and the training meetings, frequent exercises using the software are deeply recommended to the students.
Contacts
UNIVERSITE OF LIEGE Service of Quantitative Psychology Sart Tilman B32 Quartier AGORA Place des Orateurs, 2 B-4000 LIEGE BELGIUM Tél : +32 4 366 22 31 e-mail : fperee@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
The subject of the course has already been taught in full in life. The theoretical course ended at the end of December 2019.
Assessment subjects
The subject matter of the evaluation is unchanged for this course.
Assessment methods
The exam is a written exam, similar to the classic exam in life.
On the date set for the exam, students will have to download on e-campus a ZIP file including their data file(s) and their personalized questionnaire.
Students will have to answer in writing (with typing on computer) on the questionnaire received and then send it back to e-campus at the end of the exam.
Contacts
With respect to scheduling, contact Ms. Thunus (apparitorat)
For technical problems with his computer, the student can contact the UDI-FPLSE.
For questions related to the course, the student can contact my assistant or myself by email or skype (if necessary)
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
The subject of the course has already been taught in full in life. The theoretical course ended at the end of December 2019.
Assessment methods
The exam is a written exam, similar to the classic exam in life.
On the date set for the exam, students will have to download on e-campus a ZIP file including their data file(s) and their personalized questionnaire.
Students will have to answer in writing (with typing on computer) on the questionnaire received and then send it back to e-campus at the end of the exam.
Contacts
With respect to scheduling, contact Ms. Thunus (apparitorat)
For technical problems with his computer, the student can contact the UDI-FPLSE.
For questions related to the course, the student can contact my assistant or myself by email or skype (if necessary)