6 ECTS credits
180 u studietijd
Aanbieding 1 met studiegidsnummer 1021094BER voor alle studenten in het 1e semester
met een verdiepend 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 'Statistics for the Social Sciences' 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
39 contacturen Practical exercises
102 contacturen Self study
- Inhoud
This course has two main objectives. First, it gives an introduction to the analysis of variance (one-way ANOVA) and the multiple linear regression model. Building further on the knowledge and insights acquired in the educational component ‘Statistics for the Social Sciences’ (1BA), the course addresses the basics of inferential statistics, statistical control and multivariate analysis. More specifically, we will see the following techniques: t-test for the difference between two means, ANOVA, bivariate regression (basics, residuals and influence statistics, inferential statistics), multiple regression (basics, redundancy/suppression, inferential statistics and assumptions, categorical independent variables, F-tests, and interaction effects).
The second objective concerns the analysis of large and complex datasets in a correct and sound manner. Students learn the basic techniques for data transformations and statistical analyses in the statistical analysis software package SPSS, both by way of the menu interface and syntax commands, under supervision of an assistant. To this purpose, we will use real datasets, taking research questions embedded in social scientific theory as our point of departure.
The aimed competences of this course are threefold. First, it aims to learn students to choose the appropriate statistical technique for specific research questions. Second, students are learned to carry out the chosen technique adequately. Third, students are learned to interpret the results of their analyses aptly. In the coming years, students can build further on the knowledge, insights and skills they have acquired here, in view of learning more advanced statistical techniques and models.
- Bijkomende info
Didactic forms
- Lectures and interactive lectures with class discussions, peer-to-peer learning, and triple-jump interactive techniques
- E-learning
- Guided PC exercises
Course material
Reader: Mclendon, M.J. (1998). Multiple regression and causal analysis. Itasca, Ill.: Peacock Publishers (selected chapters)
+ other chapters to be communicated at the start of this course
+ slides of theoretical lectures and practice sessions
- Leerresultaten
-
General competences
For the covered statistical techniques, the course expects students upon completion:
- to have insight into the possibilities and limitations of quantitative techniques of analysis for social sciences research;
- to understand published statistical analyses, to be able to correctly interpret, and critically evaluate, them;
- to be able to make a sound choice from different statistical techniques to answer a research question in a scientifically sound manner;
- to be able to correctly calculate and interpret statistical measures;
- to understand the advantages and limitations of the different statistical measures;
- to be able to independently translate a research question in a statistical model;
- to be able to analyze a statistical model in SPSS;
- to be able to independently carry out the necessary data transformations in SPSS;
- to have become a critical and legitimate user of statistics (life-long learning)
- to be able to adjust the personal learning process.
More generally, the course addresses the following program learning objectives:
- LO5: knows and can explain the multilayered and complex character of social, political and media-related facts and phenomena.
- L07: knows the methods of data selection, management and analysis that prevail within the domains of the social sciences.
- LO8: can interpret and analyse contemporary social phenomena and problems and can take position, relying on contemporary theories in the domain of the social sciences, in debates on them.
- 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.
- LO18: can reflect on and evaluate their learning process and research and can deal with criticism in a constructive manner.
- 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:
- Schriftelijk Examen
met een wegingsfactor 1
en aldus 100% van het totale eindcijfer.
- Aanvullende info mbt evaluatie
Formative assessment
- Interactive lectures with group discussion, peer-to-peer learning, and application of theoretical subject matter to everyday examples;
- Practical exercise sessions under supervision of an assistant. By preparing and revising exercises, students can monitor their progress with the subject matter. The exercises will be accompanied by feedback. Synthesis exercises appear twice throughout the year, which give students a good insight into their mastery of the subject matter.
Summative assessment
The written exam is composed of two parts. The first part is paper-and-pencil, and involves both theoretical and practical 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. Both parts count for 50% of the total grade, which is calculated by summing both partial scores. It is not possible to pass one part if the total score of the exam is below 50%.
- 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)
Bachelor of Social Sciences: Startplan (enkel aangeboden in het Engels)