Study programme 2018-2019Français
Research Methodology
Programme component of Master's Degree in Psychology Research Focus à la Faculty of Psychology and Education
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UP-M1-MPSYFA-006-MCompulsory UEHUET KathyP362 - Métrologie et Sciences du langage
  • DELVAUX Véronique
  • HUET Kathy
  • PICCALUGA Myriam

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais301500055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
P-SMSL-237Designing and assessing research projects150000Q140.00%
P-SMSL-238Descriptive Multivariate Analysis1515000Q160.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Analyse a situation (individually or collectively) in reference to relevant theories and methodological approaches within psychology.
    • Analyse and model a situation (individually or collectively) by critically selecting theories and methodological approaches.
  • Communicate and exchange information in a structured and adapted way to the intended purpose and relevant public.
    • Present and structure data in a clear, precise, neutral, and non-oriented way.
    • Present research results (orally and in writing).
    • Appropriately use presentation materials.
  • Work effectively with different actors as part of a team or a network of professionals.
    • Listen to team members and partners. Encourage expressing a shared opinion. Accept and discuss a different point of view than theirs.
  • Assess and pursue professional and personal development.
    • Monitor knowledge and methodological approaches in order to evolve their thinking and practice.
  • Master scientific research methods in psychology.
    • Master the different steps to carry out research in psychology.
    • Appropriately apply different methods of scientific approaches.
    • Construct a reference framework, formulate questions or hypotheses from the analysis of scientific literature.
    • Collect data and analyse it qualitatively and quantitatively.
    • Adequately interpret results taking into account the reference framework within which the research was developed.
    • Develop communication skills specific to the field of research (publication, mastery of the English language).
    • Master methods and advanced techniques of specific data analysis.

Learning Outcomes of UE

At the end of the instruction, the students will be able to : know the multidimensional analysis methods objectives ; determine the method(s) to be used in function of the study ; make the adequate analysis with the statistical software ; find the relevant information in the whole of the results supplied by the software ; interpret the numeric and graphic results ; communicate the important results in a adequate way; carry a reflection criticizes on scientific works, articles appealing to this type of methods.
AND
(i) know the different stages of the research process in humanities, understand the complex relationships between the various stages and master the specificities of some paradigms (e.g. the experimental method); (ii) participate in the elaboration of a grid of analysis specifying these relationships; (iii) analyse written and oral reports of a research using the shared grid of analysis; (iv) carry out a personal project integrating the competences cited above.
 

Content of UE

Multidimensionnal analysis of statistical date (See AA Descriptive multivariate analysis) ; Elements and dimensions of research methods.
 

Prior Experience

Basis in statistics. Basis in human sciences research methodology.

Type of Assessment for UE in Q1

  • Presentation and/or works
  • Written examination

Q1 UE Assessment Comments

UE : Research methodology AA1 : Designing and assessing research projects (15h) = 40% (Delvaux, Huet, Piccaluga) AA2 :  Descriptive multivariate analysis (15h+ 15hTP) = 60% (Huet)

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Written examination

Q3 UE Assessment Comments

UE : Research methodology AA1 : Designing and assessing research projects (15h) = 40% (Delvaux, Huet, Piccaluga) AA2 :  Descriptive multivariate analysis (15h+ 15hTP) = 60% (Huet)

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-237
  • Cours magistraux
P-SMSL-238
  • Cours magistraux
  • Travaux pratiques

Mode of delivery

AAMode of delivery
P-SMSL-237
  • Mixed
P-SMSL-238
  • Face to face

Required Reading

AA
P-SMSL-237
P-SMSL-238

Required Learning Resources/Tools

AARequired Learning Resources/Tools
P-SMSL-237Slides, Research ARticles to be analysed, Book : Van der Maren, J.-M. (1996). Méthodes de recherche pour l'éducation. (2e édition). Montréal/Bruxelles : PUM et de Boeck.
All of them on Moodle.
 
P-SMSL-238Slides via Moodle

Recommended Reading

AA
P-SMSL-237
P-SMSL-238

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
P-SMSL-237Not applicable
P-SMSL-238Not applicable

Other Recommended Reading

AAOther Recommended Reading
P-SMSL-237Not applicable
P-SMSL-238. Bouroche J-M. & Saporta G., L’analyse des données, Collection Que sais-je ? n°1854, PUF, 1998.
. Bry X., Analyses factorielles simples, Coll. Techn.quantitatives poche, Ed. ECONOMICA, 1995.
. Bry X., Analyses factorielles multiples, Coll. Techn.quantitatives poche, Ed. ECONOMICA, 1999.
. Cibois P., L’analyse factorielle, Collection Que sais-je ? n°2095, PUF, épuisé.
. Escofier B. & Pagès J., Analyses factorielles simples et multiples, DUNOD, Paris, 2ème éd, 1990.
. Fisher R.A., The use of multiple multiple measurements in taxonomic problems, Annals of Eugenics London, 10, pp. 422–429, 1936.
. Lebart L., Morineau A. & Piron M., Statistique exploratoire multidimensionnelle, DUNOD, Paris, 3ème éd, 2000.
. Mahalanobis P.C., On the generalized Distance in Statistics, Proceedings of national Institute of Sciences of India, 2, pp. 49–55, 1936.
. Reuchlin M., Méthodes d’analyse factorielle à l’usage des psychologues, PUF, Paris, 1964.
. Rouanet H. & Le Roux B., Analyse des données multidimensionnelles, Dunod, Paris, 1993.
. Stafford J.& Bodson P., L’analyse multivariée avec SPSS, Presses de l’Université du Québec, Québec, 2006.

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
P-SMSL-237Authorized
P-SMSL-238Authorized
(*) 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
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