Collection and Analysis of Research Data
Timetable/hours:
Date | Time |
12/02/2025 | 14:00 – 17:00 CET |
19/02/2025
|
|
26/02/2025
|
|
05/03/2025
|
|
12/03/2025
|
|
19/03/2025 |
Short description of the course:
The course purpose is to provide students with the Knowledge and tools needed for designing and executing research analysis including developing their research question and objectives, reviewing the literature and choosing and applying an appropriate research design (qualitative and quantitative) in order to obtain and provide results according to the objectives set and write a doctoral dissertation. The course engages students in advanced statistical analysis techniques which are widely used by social researchers worldwide. The same applies to qualitative data analysis. Likewise, the course focuses on providing students with the opportunity to become professional users of data analysis software, such as IBM SPSS, R. The course makes use of real research data in practical data analysis applications, relevant to their studies, in order for students to become able to apply the same tools and analyses in their own data collected for their doctoral dissertations.
Learning Outcomes:
- Understand the need for, and methods to search for, extract, and synthesize information in subjects related to smart urban coastal sustainability; such as sustainable development, global challenges faced by coastal areas, blue economy and growth etc.
- Obtain information from a variety of sources and appraise information sources on the basis of quality and reliability
- Formulate and clarify their research topic and objectives
- Consider different research strategies based on their research project and objectives
- Apply data collection through interviews and evaluate the data obtained
- Collect, enter and analyze quantitative data and interpret results using the IBM SPSS software and or R
University
Frederick University
Teacher/Course Responsible
Dr Elena Ketteni
Max no of students
–
Min no of students
5
Language
English
ECTS
5
Number of contact hours (teaching hours)
18
Hours of study autonomous individual work
125
Period – dates
February – March 2025
Teaching mode
Virtual