6 ECTS credits
174 u studietijd

Aanbieding 1 met studiegidsnummer 3023708ANW voor werkstudenten in het 1e semester met een inleidend bachelor niveau.

Semester
1e semester
Inschrijving onder examencontract
Niet mogelijk
Beoordelingsvoet
Beoordeling (0 tot 20)
2e zittijd mogelijk
Ja
Onderwijstaal
Engels
Faculteit
Faculteit Sociale Wetensch & SolvayBusinessSchool
Verantwoordelijke vakgroep
Toegepaste economie
Onderwijsteam
Ellen Van Droogenbroeck (titularis)
Neamat Sidani
Onderdelen en contacturen
4 contacturen Hoorcollege
32 contacturen Werkcolleges, practica en oefeningen
138 contacturen Zelfstudie en externe werkvormen
Inhoud

This course is designed to introduce students to quantitative research methods, including both descriptive statistics and elementary inferential statistics. The aim is to develop students’ knowledge and skills in the field of quantitative research methods in preparation for the independent processing, interpretation and reporting of collected data (in the context of the later master's thesis and business decisions). Further, the course also aims to develop student's ability to understand, assess and interpret existing quantitative research. This introductory course mainly emphasizes interpretation of statistical results over mathematical computation. An introduction to using SPSS, a statistical software, is provided.

This introductory statistics course consists of nine parts. The first part provides an introduction to statistics and statistical concepts. The second part sheds light on displaying and describing data. The third part discusses the principle of hypothesis testing. It discusses the fundamentals of inferential statistics and the logic behind the statistical reasoning process. The fourth part discusses difference and variance tests. The fifth and sixth part focus on correlation and regression. In parts seven and eight, non-parametric tests and logistic regression are being discussed. A final part wraps up the course by discussing how to choose the right statistical test given the data available.

Studiemateriaal
Digitaal cursusmateriaal (Vereist) : (1) Video Tutorials; (2) Exercises and case studies (incl. solutions); (3) Complementary study materials (such as video clips, book chapters or academic papers) to support students’ learning, available via the electronic learning environment, Canvas
Handboek (Aanbevolen) : Statistics for People Who (Think They) Hate Statistics, N.J. Salkind and B.B. Frey, 7th edition, Thousand Oaks, CA: Sage Publications, 9781544381855, 2019
Handboek (Aanbevolen) : A Step-By-Step Introduction to Statistics for Business, R.N. Lander, 2nd edition, Thousand Oaks, CA: Sage Publications, 9781473948112, 2018
Handboek (Aanbevolen) : Discovering statistics using IBM SPSS Statistics, A. Field, 5the edition, London, Sage Publications, 9781526419521, 2017
Bijkomende info

Teaching Methods
- Lecture: collective contact-dependent moments during which the lecturer engages with learning materials
- Seminar, Exercises or Practicals (Practical): collective or individual contact-dependent moments during which the students are guided to actively engage with learning materials
- Independent or External Form of Study (Self): independent study

This description of the teaching methods is indicative, in order to assess the expected study load.

Lecture: 4 hours

  • Introductory and closing Q&A session (4 x 1 hour)

Practical: 32 hours

  • Students practice applying key concepts, methods and techniques by solving exercises in peer groups or individually (6 x 4 hours)
  • Individual guidance via email, discussion forums and during the study guidance days (8 hours)

Self: 138 hours

  • Gaining necessary theoretical knowledge by means of video tutorials (24 hours)
  • Doing homework assignments on Canvas to checking the understanding of the video tutorial and to prepare to participate in class activities (6 hours)
  • Solving exercises via Canvas to extend the learning (12 hours)
  • Consulting additional study material, keeping up with the course material during the semester (48 hours )
  • Preparation for the exam (6 days of 8 hours (48 hours))
Leerresultaten

General competencies

The objective of this course is to clearly present elementary concepts and techniques of quantitative research methods, including both descriptives and inferential statistics. The focus of the course is mainly the interpretation of statistical analyses. Further the course introduces SPSS.

  • The student describes, explains and applies key elements of descriptive and inferential statistics.
  • The student describes, explains, computes and interprets measures of central tendency .
  • The student describes, explains, computes and interprets measures of variability.
  • The student describes, explains, analyses and interprets elementary quantitative research methods (such as t-test, ANOVA, correlation and regression).
  • The student uses regression analysis to make predictions.
  • The student selects appropriate elementary quantitative research methods for answering a research question.
  • The student performs elementary statistical analyses using SPSS.

Beoordelingsinformatie

De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Schriftelijk bepaalt 85% van het eindcijfer

Examen Andere bepaalt 15% van het eindcijfer

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

  • Written Exam met een wegingsfactor 85 en aldus 85% van het totale eindcijfer.

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

  • Homework Assignments met een wegingsfactor 15 en aldus 15% van het totale eindcijfer.

Aanvullende info mbt evaluatie

Throughout the course, students will be asked to complete and submit several homework assignments. 

The component "homework assignments" cannot be resumed in the second session. No replacement assignment will be organised. The grade on this component is transferred from the first to the second session, but is not transferred to the following academic year. If the homework assignments were not carried out during the semester, the grade on this component will be zero in the first and second exam session. As such the final grade will be limited to a maximum of 85% out of 20. Homework assignments have strict due dates. No grades will be assigned in case of late submission.

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:
Voorbereidingsprogramma Master of Science in Management: Academische Master (enkel aangeboden in het Engels)
Voorbereidingsprogramma Master of Science in Management: Academische Bachelor (enkel aangeboden in het Engels)