PDF for print
Find calendar
| Semester |
F2026
|
| Subject |
International Bachelor Study Programme in Social Science
|
| Activity type |
Basic course
|
| Teaching language |
English
|
| Registration |
Registration is happing through stads selvbetjeningwithin the announced registration period, as you can see on the Studyadministration homepage. When registering for courses, please be aware of the potential conflicts between courses or exam dates on courses. The planning of course activities at Roskilde University is based on the recommended study programs which do not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programs, an overlap of lectures or exam dates may occur depending on which courses you choose. |
| Detailed description of content |
The course introduces, uses and applies descriptive and inferential statistics; Pearson's correlation coefficient, t-test, Chi-square, cross-tables, hypothesis testing, ANOVA, and regression models. Students should master key aspects of basic tools for data sampling, gathering, inspection, control and organization of data, classification of categories of variables, and data analysis. Students will develop their capabilities of statistical thinking and of analysing data critically. We aim for that students can discuss the appropriateness of statistical methods used in published articles, reports, and interpret the meaning of their results. Further students should be able to… • apply statistical tools for project work and understand their practical implementations. demonstrate full understanding of basic statistics through reading, speaking, and writing about basic statistical concepts. • have formulation/verbalizing competency about quantitative data analysis in social science and business. • present and explain issues/topics related to quantitative data analysis concerning social sciences and business in a professional clear manner. • relate, understand, and apply post-positivist methodology to research questions relevant in social sciences studies. • understand and apply post-positivist and mixed methods research methodologies. Please notice that any use of GAI is not allowed in the exam for this course. • understand and work scientifically with themes of quantitative data analysis. • write up a methodology part/chapter using basic quantitative data analysis. • learn the basics of coding in the R software (RStudio). |
| Expected work effort (ECTS-declaration) |
ECTS 5, In total: 135 hours, Class Teaching: 20 hours, Class Exercises: 20 hours, Preparation: 91.5 hours, Exam: 3.5 hours |
| Course material and Reading list |
Business Statistics: Communicating with Numbers” (4th international student edition), by Sanjiv Jaggia and Alison Kelly, McGraw Hill, ISBN 978-1-260-59756-1 |
| Evaluation- and feedback forms |
Students are evaluated accoridng to the final result of the exam. Short written feedback provided with the corrections of the exam. |
| Administration of exams |
SIB Registration & Exams (sib-exams@ruc.dk)
|
| Responsible for the activity |
Johannes Kabderian Dreyer (jodreyer@ruc.dk)
|
| ECTS |
5
|
| Learning outcomes and assessment criteria |
|
| Mandatory or elective |
Mandatory course |
| Overall content |
The course provides students with a comprehensive introduction to quantitative methods and applied practical statistics. The course presents students with basic technical terminology as well as quantitative functional tools such as methods in questionnaire surveys, descriptive statistics, hypothesis and statistical tests, statistical significance, consistency and linear regression. These concepts and tools will be exemplified and executed in a software package selected by the course leader. The course consists of lectures in which the fundamental concepts and research questions are reviewed, followed by exercises where the students solve varied tasks by using statistical methods on various datasets. |
| Teaching and working methods |
The course consists of both lectures and seminars. As part of the course, the students will participate in group work and write an assignment. The course leader will specify the guidelines and formalities of the assignment. |
| Form of examination |
Individual written invigilated exam in a topic(s) given by the lecturer
The exam must be taken on your own PC. You can only use the internet to access the exam materials and for submission in the Digital Exam. The internet must remain on throughout the exam to ensure the Observer program runs successfully. The duration of the exam is 3,5 hours. Permitted support and preparation materials for the exam: You are allowed to use your own notes, a dictionary, a physical calculator and course materials during the exam. Course materials and notes must be local files on your PC, books/notes in physical form or links available through the exam in Digital Exam. You are allowed to use a digital dictionary linked through the exam in Digital Exam.. Assessment: 7-point grading scale |
| Form of Re-examination |
Samme som ordinær eksamen / same form as ordinary exam
|
| Exam code(s) | |
| Last changed | 28/04/2026 |