Study programme 2018-2019Français
Statistique inférentielle multivariée
Programme component of Bachelor's Degree in Psychology and Education: General à la Faculty of Psychology and Education
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UP-B3-BAGENE-011-MCompulsory UEHUET KathyP362 - Métrologie et Sciences du langage
  • HUET Kathy

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français151500044.00Année

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
P-SMSL-060Statistique inférentielle multivariée : procédures155000Q180.00%
P-SMSL-230Statistique inférentielle multivariée : traitement de problèmes sur logiciel010000Q220.00%
Programme component
Prérequis
Corequis

Objectives of Programme's Learning Outcomes

  • Understand the theoretical and methodological fundamentals in psychology and educational sciences to analyse a situation involving these disciplines
    • Describe the principles of methodological approaches (objectives, methods, techniques and tools) to understand and explain the functioning of individuals, groups and organisations
  • Provide clear, accurate, and reasoned information
    • Summarise the contributions of different sources to justify an opinion or decision
    • Write bibliographic references and results of statistical analysis in a standardised way (according to APA standards)
  • Understand the fundamentals related to the scientific approach in psychology or educational sciences
    • Identify and explain the main methods (including limitations) specific to the scientific process

Learning Outcomes of UE

The student will be able to reconstruct the reasoning having proceeded to the construction of the procedures / to select (the) procedure (s) adequate to the treatment of a given problem  / to perceive the limitations of the inferences built from a statistical treatment / to proceed to the treatment of concrete data by means of the procedures being the object of the lessons with help either of the calculator or the proposed statistical software.

Content of UE

Statistical Tests of hypothesis: parametric analyses of variance (simple, for completely nested device, in two-crossed criteria), analyzes the covariance, nonparametric analyses of variance (Friedman, L of Page, Kruskal-Wallis).
Analysis of the link between variables: notion of correlation, multiple correlation, partial correlation, not linear correlation, nonparametric correlation.
Data processing by means of statistical treatment software.

Prior Experience

Méthodologie de l'expérimentation (bloc2)
Statistique I (bloc1)

Type of Assessment for UE in Q1

  • Written examination
  • Quoted exercices

Q1 UE Assessment Comments

AA1 (Q1) : Written examination about theory (65%) and exercices (45%) = 80% UP

Type of Assessment for UE in Q2

  • Practical test

Q2 UE Assessment Comments

AA2 (Q2) : based on project = 20% UP.  Groups of 2 students are established by students themselves via the platform Moodle following a schedule specified at the beginning of course. Every student who not respecte the term of registration will be considered as absente for this AA.

Type of Assessment for UE in Q3

  • Written examination
  • Practical Test
  • Quoted exercices

Q3 UE Assessment Comments

AA1 : Written examination about theory (65%) and exercices (45%) = 80% + AA2 : based on project = 20%

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
P-SMSL-060
  • Cours magistraux
  • Exercices dirigés
  • Démonstrations
P-SMSL-230
  • Exercices dirigés
  • Utilisation de logiciels
  • Démonstrations

Mode of delivery

AAMode of delivery
P-SMSL-060
  • Face to face
P-SMSL-230
  • Mixed

Required Reading

AA
P-SMSL-060
P-SMSL-230

Required Learning Resources/Tools

AARequired Learning Resources/Tools
P-SMSL-060Available from Moodle :
Lessons notes ;
Collection of solved exercises and to solve ;
Copies of slides.
P-SMSL-230Not applicable

Recommended Reading

AA
P-SMSL-060
P-SMSL-230

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
P-SMSL-060Laveault, D. & Grégoire, J. (2002). Introduction aux théories des tests en psychologie et en éducation . Bruxelles: De Boeck
Bonniol, Jean-Jacques, Vial, Michel, Les modèles de l’évaluation (textes fondateurs avec commentaires), coll. Pédagogie, De Boeck université, Paris, Bruxelles, 1997 (ISBN 2-8041-2636-6)
Rust J. and Golombok S., Modern Psychometrics, The science of Psychological Assessment, Routledge, London, 1989
Pedhazur, E., Pedhazur Schmelkin, L., Measurement, design and analysis: an intergrated approach, Hillsdale New Jersey, Lawrence Erlbaum Associates, 1991.
P-SMSL-230Not applicable

Other Recommended Reading

AAOther Recommended Reading
P-SMSL-060Laveault, D. & Grégoire, J. (2002). Introduction aux théories des tests en psychologie et en éducation . Bruxelles: De Boeck
Bonniol, Jean-Jacques, Vial, Michel, Les modèles de l’évaluation (textes fondateurs avec commentaires), coll. Pédagogie, De Boeck université, Paris, Bruxelles, 1997 (ISBN 2-8041-2636-6)
Rust J. and Golombok S., Modern Psychometrics, The science of Psychological Assessment, Routledge, London, 1989
Pedhazur, E., Pedhazur Schmelkin, L., Measurement, design and analysis: an intergrated approach, Hillsdale New Jersey, Lawrence Erlbaum Associates, 1991.
P-SMSL-230Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
P-SMSL-060Authorized
P-SMSL-230Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 02/05/2019
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be