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 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
- Jannick Demanet
(titularis)
- Onderdelen en contacturen
- 0 contacturen Exam
39 contacturen Lecture
111 contacturen Self study
- 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
- Exploratory Factor Analysis and Principal Components Analysis (PCA);
- Cluster analysis
- Analyses of Variance (ANOVA) and CoVariance (ANCOVA), Multivariate Analysis of Variance (MANOVA);
- Path Models and Mediation Analysis; Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM).
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 and AMOS).
- 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;
- Micro-teaching;
- 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 Andere bepaalt 100% van het eindcijfer
Binnen de categorie Examen Andere dient men volgende opdrachten af te werken:
- Lab Reports
met een wegingsfactor 50
en aldus 50% van het totale eindcijfer.
- Individual Technical Paper
met een wegingsfactor 50
en aldus 50% van het totale eindcijfer.
- Aanvullende info mbt evaluatie
Formative evaluation
The formative evaluation of this course is composed of two kinds of assignments.
First, throughout the semester, students will work together in small groups on lab reports.
Specifically, students will collaborate on three lab reports
- Exploratory Factor Analysis and PCA
- Cluster Analysis
- ANCOVA, MANOVA
These lab reports comprise 50% of the final grade.
Second, students will write an individual technical paper in which they apply Mediation analysis and Structural Equation Models 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.
Summative evaluation
There is no exam for this course.
- 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)