PHD-DVP 904 Quantitative research methods
PHD-DVP 904 Quantitative research methods
This course emphasizes different ways of approaching quantitative data, their potential and limitations.
This course emphasizes different ways of approaching quantitative data, their potential and limitations.
The course enables the PhD students to employ methodological insights and give reasons for choices related to sampling and analytic approaches in their own research projects.
Main subjects of the course
- Quantitative research designs
- The sampling process and data collection
- Analysis strategies on different levels, and different analysis methods
- Mixed-method approaches
- Presentation of quantitative research in an international peer-reviewed journal
- Research ethics related to quantitative investigations
Sessions
The work will consist of a combination of lectures and student activity in group discussions and presentations of PhD projects.
Time and place
Date: 06.02.-08.02.2023
Place: Diakonveien 14 & 18
February 6: Room D18-324
February 7: Room D14-A103 ATN
February 8: D14-AU02 AUØ
Topics
- Introduction. Research designs in quantitative methods
- Data collection, questionnaire development, translation/validation, use of instruments
- Hypothesis and testing
- Research ethics
- Population-based investigations/epidemiology
- Linking research question with design and method in quantitative and qualitative research – some examples
- RCT - an example
- Oral evaluation and goodbye
Course literature
Hardy, M. A. and A. Bryman (2009). Handbook of data analysis. Los Angeles, SAGE. Participants choose the 400 pages of the book that is most relevant to their own project.
Johansen, A., Tufte, P.A. & Christoffersen, L. (2021). Samfunnsvitenskapelig metode, 6. utgave, Oslo: Abstract forlag
Compulsory assignments
Pre-course paper:
Participants are required to submit a written text ahead of the course, approximately 1-2 pages. The text should describe the candidate's PhD project and reflect on methodological challenges and possibilities in applying quantitative methods. Participants are also required to respond to colleagues’ texts, and to take part in group discussions.
Deadline for submission of written text: January 29, 2023. Please submit to torgeir.sorensen@vid.no.
Assessment
After the course, the student must submit a written essay of 1.750 words +/- 10% (ca. 5 pages). The essay should reflect on and discuss the use of quantitative methods in the candidate’s ongoing PhD project. In order to obtain 5 ECTS, both a satisfactory course attendance (minimum 75%) and an approved essay are required.
Deadline for submission of written paper: March 26, 2023, in Inspera Assessment
You can find more information about Inspera Assessment on our web pages here: https://www.vid.no/en/student/examination/digital-exam/
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Fakta og priser
Type enkeltemne
SamlingsbasertPris
The course is free.
Opptakskrav
The course is open to
- PhD students who are enrolled in one of VID’s PhD programmes. PhD students at VID must register for the course in Studentweb.
- PhD students from other institutions. PhD students from other institutions must apply by clicking on the button «application» below.
- PhD students from other institutions must submit written documentation of their enrollment together with the application. External applicants will receive notification about whether they are admitted to the course within one week from the applicaiton deadline.
- Members of academic staff with an ongoing research project on PhD level with the goal of qualifying for senior lectureship.
If you have questions about admission to the course, please contact Erlend Hovdkinn From, erlend.from@vid.no. If you have questions about the academic content of the course, please contact Torgeir Sørensen, torgeir.sorensen@vid.no.
Application web opens 01. December
Opptak er lukket
