Semester |
F2019
|
Subject |
Public Administration * / Global Studies * / International Development Studies * / Politics and Administration * / International Public Administration and Politics *
|
Activitytype |
master course
|
Teaching language |
English
|
Registration |
Tilmelding sker via stads selvbetjening indenfor annonceret tilmeldingsperiode, som du kan se på Studieadministrationens hjemmeside Når du tilmelder dig kurset, skal du være opmærksom på, om der er sammenfald i tidspunktet for kursusafholdelse og eksamen med andre kurser, du har valgt. Uddannelsesplanlægningen tager udgangspunkt i, at det er muligt at gennemføre et anbefalet studieforløb uden overlap. Men omkring valgfrie elementer og studieplaner som går ud over de anbefalede studieforløb, kan der forekomme overlap, alt efter hvilke kurser du vælger. 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. |
Prerequisite for participation |
Knowledge of basic social science methodologies and methods is a requirement for taking the course for example as presented in: Bryman, A. (2016) Social Research Methods. Oxford: Oxford University Press. This course is not open for students who have taken Document Analysis on the 5th semester of their bachelor's. |
Learning outcomes/Assessment criteria |
Knowledge
Skills
Competencies
|
Overall content |
|
Detailed description of content |
Politics can be understood as a struggle over influence with words rather than physical force. Different actors use documents for the purposes such as regulation, to underpin their actions, to demand documentation for claims made in the public debate or for decisions made by public authorities. As a result, documents are produced by international organisations, public authorities, political parties, interest groups, NGOs, private companies, media, think tanks, citizens and other actors. Document analysis is already a commonly applied approach in the social sciences. Many theories, including theories of institutional change, decision-making, and discourse typically include documents as sources. Likewise, a number of research methods including content analysis, grounded theory, argumentation analysis, and the analysis of ideas also rely on documents. Finally, a range of different types of documents including laws, reports, newspaper articles and communications are available through the Internet and elsewhere. With increased digitalisation, skills in collecting and analysing documents in a reliable manner is like to be in increasing demand in the future. The course develops students’ knowledge of and skills in applying quantitative and qualitative methods to analyse documents. The course focuses particularly on how computer-assisted document analysis, regardless of whether it is qualitative or quantitative, can provide a basis for transparent, structured, and well-presented document analysis. To this end, the course considers the selection and sampling of documents, different approaches to coding and analyzing documents as well as different ways of presenting document analysis in research and student reports. In the course we will use the software program NVivo, which is available on RUCs intranet. Prior knowledge of NVivo or similar software is not a requirement for taking the course. Knowledge of basic social science methodologies and methods is a requirement for taking the course.
|
Teaching and working methods |
The course consists of presentations by the lecturers combined with student exercises, discussions and presentations. Students are encouraged to work with topics and research questions, which they currently explore or are planning to work with in their student projects. |
Expected work effort (ECTS-declaration) |
Reading of course literature and preparation for course lectures - 70 hours Attending lectures - 20 hours Student exercises and preparation of presentations - 15 hours Exam - 30 hours Total - 135 hours |
Course material and Reading list |
Course textbook: Bazeley, Pat and Jackson, Kristi (2013): Qualitative data analysis with Nvivo. 2. ed. Los Angeles, CA : SAGE. |
Form of examination |
The examination consists of an individual, written methodology assignment that discusses and problematises various possible methodological approaches. The assignment is set by the course teacher no later than the fifth course session. The assignment must be submitted no later than one week after the end of the course. The maximum length of the assignment is 26,400 characters, including spaces. The size specifications include the cover, table of contents, bibliography, figures and other illustrations, but exclude any appendices. Assignments that fail to meet the size specifications will be refused assessment, and one examination attempt will be deemed to have been used up. |
Form of re-examination |
Re-examination: Re-examination follows the same rules as the ordinary examination. The student is given fourteen days to complete the assignment. |
Examination type |
Individual examination
|
Exam aids |
all |
Assessment |
7-point grading scale
|
Moderation |
None (i.e. course lecturer assesses)
|
Evaluation- and feedback forms |
There will be an opportunity to get oral feedback on the exercises and discussions in class. Participants can expect to have collective feedback on the written exams (as a whole), as well as the opportunity for oral feedback in person for the individual written exams. |
Responsible for the activity |
Jesper Dahl Kelstrup (kelstrup@ruc.dk)
|
Teacher |
Kennet Lynggaard (kennetl@ruc.dk)
Jesper Dahl Kelstrup (kelstrup@ruc.dk) Kim Sass Mikkelsen (ksass@ruc.dk) |
STADS stamdata | |
Last changed | 08/02/2019 |