Sampling in Social Sciences

About

This course offers an introductive view into sampling methodologies which are crucial for the design of research based on extracting data from subjects. It is suitable for every researcher who needs an intrοduction to sampling methods, like bachelor, post-graduate or PhD students, and professionals

Course leader

Vasileios Ismyrlis is an Assistant Professor specialising in 'Total Quality Management in Tourism' at the Department of Tourism Economics and Management of the University of the Aegean. He held the position of Statistician at the Greek Statistical Authority (EL.STAT) for ten years. He's been an administrative employee in the social insurance institute IKA-ETAM for eleven years. He also has two years of experience in a bank, along with experience teaching financial and statistical lessons in vocational post-secondary education and universities. He graduated with a 'Statistics and Insurance Sciences' degree from the University of Piraeus. His postgraduate studies are in the field of 'Quality Assurance'. He obtained his Ph.D. in 'Quality management and Multidimensional statistics' from the Department of Business Administration of the University of Macedonia, Greece. He's authored eighteen journal articles and conference proceedings publications and has over 10 years of experience teaching statistics and management courses. Vasileios' current research interests include: multidimensional statistics, applied statistics, social statistics, economics in tourism, human resources management, quality management, and research methodology. For more information, visit: https://www.tourem.aegean.gr/en/vasileios-ismyrlis and www.vismyrlis.gr.

Target group

Social science researchers

Course aim

The course covers key elements of sampling design and methodologies in order to provide participants with the appropriate tools to begin their sampling procedure that is essential for their research. By the end of the course, participants will have a solid understanding of the key concepts and techniques covered, as well as practical experience in their application. Case studies, examples, and exercises will cover all the content of the program.

Fee info