6 ECTS credits
150 u studietijd

Aanbieding 1 met studiegidsnummer 1021425CER voor alle studenten in het 1e semester met een gespecialiseerd bachelor niveau.

Semester
1e semester
Inschrijving onder examencontract
Mogelijk
Beoordelingsvoet
Beoordeling (0 tot 20)
2e zittijd mogelijk
Ja
Inschrijvingsvereisten
Students who want to enroll for this course, must have passed ‘Quantative Research Methods’ and must have obtained at least 30 ECTS-credits on bachelor level.
Onderwijstaal
Engels
Onder samenwerkingsakkoord
Onder interuniversitair akkoord mbt. opleiding
Faculteit
Faculteit Sociale Wetensch & SolvayBusinessSchool
Verantwoordelijke vakgroep
Sociologie
Externe partnerinstelling(en)
Universiteit Gent
Onderwijsteam
Tom De Winter (titularis)
Onderdelen en contacturen
26 contacturen Hoorcollege
124 contacturen Zelfstudie en externe werkvormen
Inhoud

Specific objectives are specified at the beginning of each class.
In general, students should be able:

  • to explain in their own words the principles of multivariate linear techniques of data analysis for the social sciences
  • to elaborate upon the theoretical background of the statistical methods
  • to adequately choose between data methods taking research design and data quality into account
  • to interpret and report the results of multivariate statistical techniques.

The following statistical techniques will be seen during this course:

  • Introduction: relevant basic principles of descriptive and inferential statistics, overview of multivariate analysis techniques
  • Multiple regression analysis, including interaction effects, mediation effects and dummy regression
  • Principal component analysis and Factor analysis
  • Binary and multinomial logistic regression analysis
  • Poisson Regression and Negative Binomial Regression analysis
  • Generalized Linear Models
Studiemateriaal
Digitaal cursusmateriaal (Vereist) : Reader + slides of theoretical lectures and lab sessions, Canvas
Bijkomende info

Didactic forms

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

General competences

LR3: recognises the cross-sections, the intersections and the cross-fertilisations that are noticeable amongst the different social sciences.

LR4: is able to apply social theories and concepts on a well-delineated, socially and scientifically relevant research topic that relates to the European Union or other (international) institutions

LR6: can formulate a valid scientific research question on a topic that relates to the social sciences

LR7: can identify, gather and critically process the relevant sources and literature on a specific social sciences research topic.

LR8: knows how to set up a scientific and methodologically correct research design.

LR9: possesses the methodological knowledge and skills of data selection and data processing that prevail within the domains of the social sciences.

LR10: masters the techniques of good and accurate research reporting in oral and written form.

LR11: has an investigative, problem-oriented and critical attitude towards social, political and media-related phenomena and scientific research results with regard thereof.

LR12: recognises the multilayered and complex character of social, political and media- related facts and phenomena.

LR13: reflects and evaluates his or her learning process and results critically.

LR14: acts in a professional and responsible manner.

LR15: is able to perform teamwork, he or she possesses good communicative skills and is solution-oriented.

LR16: prioritises scientific integrity and honesty in his or her scientific research activities.

LR18: has awareness of the social role and function of social scientists.

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:

  • Individual Assignment met een wegingsfactor 50 en aldus 50% van het totale eindcijfer.
  • Group Assignment met een wegingsfactor 50 en aldus 50% van het totale eindcijfer.

Aanvullende info mbt evaluatie

There are two kinds of assignments.

  1. Throughout the semester, students will work together in small groups on lab reports.
    Specifically, students will collaborate on three lab reports
    1. Multivariate regression analysis
    2. Principal Component Analysis and Factor Analysis
    3. Logistic, Poisson and Negative Binomial regression analyses). These lab reports comprise 50% of the final grade.
       
  2. Students will write an individual technical paper in which they apply the learned generalized linear techniques to a social science research question.
    This individual assignment comprises 50% of the final grade.
    Only this individual assignment can be retaken for the second examination period, lab reports can thus not be handed in for the second examination period, and their grades will be taken over from the first examination.
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)