6 ECTS credits
150 u studietijd

Aanbieding 1 met studiegidsnummer 1021441CER voor alle studenten in het 2e semester met een gespecialiseerd bachelor niveau.

Semester
2e semester
Inschrijving onder examencontract
Mogelijk
Beoordelingsvoet
Beoordeling (0 tot 20)
2e zittijd mogelijk
Ja
Inschrijvingsvereisten
Students must have taken ‘Quantitative Research Methods’, before they can enroll in this course.
Onderwijstaal
Engels
Onder samenwerkingsakkoord
Onder interuniversitair akkoord mbt. opleiding
Faculteit
Faculteit Sociale Wetensch & SolvayBusinessSchool
Verantwoordelijke vakgroep
Sociologie
Externe partnerinstelling(en)
Universiteit Gent
Onderwijsteam
Amelie Van Pottelberge (titularis)
Onderdelen en contacturen
39 contacturen Hoorcollege
111 contacturen Zelfstudie en externe werkvormen
Inhoud

This main objective of this methodological course is to introduce students to a number of multivariate techniques most commonly used in the social sciences. As such, this course builds on the knowledge and skills acquired in the educational components ‘Statistics for the Social Sciences’ (1BA) and ‘Quantitative Research Methods’ (2BA). While some attention is spent on the statistical-mathematical background of these techniques, there is a special emphasis on the practical application of the techniques, so that, upon completion of the course, the students have the competences to choose among the discussed techniques the correct one(s) to tackle complex social science research questions, to perform the chosen technique(s) adequately, and to interpret the results in a sound manner.

Specifically, the course deals with four groups of techniques

  1. Exploratory Factor Analysis and Principal Components Analysis (PCA);
  2. Logistic regression analysis 
  3. Analyses of Variance (ANOVA) and CoVariance (ANCOVA), Multivariate Analysis of Variance (MANOVA);
  4. Multivariate linear regression analysis

For every method, lectures where the method is introduced are followed by laboratory sessions, in which students are trained in hands-on exercises using statistical computer software (e.g., SPSS).

Studiemateriaal
Digitaal cursusmateriaal (Vereist) : Reader - to be communicated at start of the course
Bijkomende info

Didactic forms

  • Interactive lectures with class discussions, peer-to-peer learning;
  • E-learning;
  • Seminar with guided PC-exercises;
  • Guided self-study
Leerresultaten

General Competences

Upon completion of this course, students will have learned the following competencies

  • To explain in their own words the basic principles of each of the taught techniques in multivariate data analysis
  • To understand, interpret, and critically assess published results of advanced statistical techniques in social science literature
  • To make a responsible choice between advanced research techniques to answer complex research questions
  • To test the assumptions and discuss the limitations of advanced research techniques
  • To design and carry out adequately advanced statistical analyses on social science data
  • To interpret and report the results of complex statistical analyses properly

More generally, the course addresses the following program learning objectives:

  • L07: knows the methods of data selection, management and analysis that prevail within the domains of the social sciences.
  • LO10: can critically position their research against the theories that prevail in the international social sciences literature, including recent developments and innovations in these literatures
  • LO11: can, independently, identify, gather and critically process relevant sources and literature on a specific social sciences research topic.
  • LO12: can, with limited supervision, apply social theories and concepts to a well-delineated, socially and scientifically relevant research topic in the domain of the social sciences.  
  • LO13: can, with limited supervision, formulate a valid scientific research question on a social sciences research topic.  
  • LO14: can, with limited supervision, set up a scientific and methodologically correct research design to answer a research question in the domain of the social sciences.  
  • LO15: can, with limited supervision, perform the necessary methodological steps (data selection, processing and management, and analysis) to answer a research question on a social sciences research topic.
  • LO16: can report, independently, on their research in both oral and written form.  
  • LO17: can work in team and collaborate with peers in a relationship of mutual respect.
  • LO18: can reflect on and evaluate their learning process and research and can deal with criticism in a constructive manner.  
  • LO19: treats the intellectual property of others with respect and integrity

Beoordelingsinformatie

De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Schriftelijk bepaalt 100% van het eindcijfer

Binnen de categorie Examen Schriftelijk dient men volgende opdrachten af te werken:

  • Exam met een wegingsfactor 100 en aldus 100% van het totale eindcijfer.

Aanvullende info mbt evaluatie

The written exam is composed of two parts. The first part involves both theoretical and practical open questions. For the second part, students will solve practical questions with the help of computer software, including SPSS. This exam targets insight in rather than reproduction of the subject matter. 

Toegestane onvoldoende
Kijk in het aanvullend OER van je faculteit na of een toegestane onvoldoende mogelijk is voor dit opleidingsonderdeel.

Academische context

Deze aanbieding maakt deel uit van de volgende studieplannen:
Bachelor of Social Sciences: Communication Studies (enkel aangeboden in het Engels)
Bachelor of Social Sciences: Political Sciences (enkel aangeboden in het Engels)
Bachelor of Social Sciences: Sociology (enkel aangeboden in het Engels)