2021/2022 BA-BSOCO1822U Research Design and Quantitative Methods I
English Title | |
Research Design and Quantitative Methods I |
Course information |
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Language | English |
Course ECTS | 15 ECTS |
Type | Mandatory |
Level | Bachelor |
Duration | One Semester |
Start time of the course | Spring |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for BSc in Business Administration and
Sociology
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Course coordinator | |
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Main academic disciplines | |
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Teaching methods | |
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Last updated on 03-12-2021 |
Relevant links |
Learning objectives | ||||||||||||||||||||||||
On successful completion of the course, students
should be able to:
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Prerequisites for registering for the exam (activities during the teaching period) | ||||||||||||||||||||||||
Number of compulsory
activities which must be approved (see section 13 of the Programme
Regulations): 2
Compulsory home
assignments
2 out of 3 compulsory written assignments (1-3 pages) must be approved for the student to be able to attend the ordinary exam in the 1st year project. More info on the assignments will follow in class. |
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Examination | ||||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||
This course is the first in our multi-course research methods sequence for undergraduate students. The aim of the course is to introduce students to research design, survey data, and quantitative methods with a focus on constructing and analysing survey data.
Students will be introduced to the research process and the process of analysing quantitative data through reading and practical exercises.
The first part of the course focuses on the beginning of the research process – the choice of research design and the production of survey data, enabling students to construct their own survey.
The second part of the course moves from collection of data to analysis of data. Here, students will (1) get an understanding of some of the key concepts behind statistical analysis, (2) obtain knowledge of basic statistical methods, (3) learn/review some rudimentary math skills that are frequently employed in the social sciences and (4) develop their ability to apply quantitative methods to do their own quantitative analysis.
We will also introduce you to STATA, the computer program
we will be using for exercises and assignments. Finally, the course
will also provide students with guidance on how to report results
from quantitative analysis in an accessible and transparent manner.
Students are expected to be able to draw upon the theories and methods they learn in the other courses in order to formulate research questions etc. in this course. Students will be encouraged to begin writing early in the semester. |
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Description of the teaching methods | ||||||||||||||||||||||||
The course consists of a series of lectures, workshops and exercise sessions. Students are expected to participate actively in the sessions and to do preparatory work in between sessions in addition to reading the course material. This will mainly, but not exclusively, be work related to the 1st year project. Students are expected to work in groups. | ||||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||||
Feedback during the course is provided both
during lectures, workshop classes, and exercises.
During the lectures students work on small exercises which are afterwards discussed during the lecture, where the teacher provides feedback on student inputs. Feedback will also be given in relation to questions asked during lectures. During the workshops the students work either individually or in groups on prepared exercises. During workshops students receive either one-to-one or group-based feedback on specific problems they face. During the exercise classes there is a higher level of student-teacher interaction and students receive feedback from both their peers and from the teacher. Finally, students are encouraged to use office hours for feedback. |
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Student workload | ||||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||||
The following material is required readings which you are
expected to obtain:
Agresti, Alan and Barbara Finlay (2018). Statistical Methods for the Social Sciences. Pearson Education International, sixth edition.
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