Quantitative research methods |
Quantitative research methods – 5 ECTS Athanassios Katsis Course Description This is an introductory course that presents the basic dimensions of quantitative research focusing on health policy. More specifically, the course discusses sampling size and sampling techniques, variable classification, Descriptive and Inferential Statistics. Key concepts include, among others, probability sampling, t-test, non-parametric tests, correlation analysis, categorical data analysis and multivariate techniques as well as applications through the SPSS software. No rigorous mathematical or statistical background is needed since the emphasis is on applications and presentation of the analysis. Objectives Upon completion of the course the student will be able to: (a) To devise and execute a sampling plan for quantitative studies in health policy Learning Outcomes
Structure Five (5) three-hour lectures Students’ assessment Written assignment on real data. Students analyze a real data set and present their research findings. Bibliography Creswell, J. (2011). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, Athens: Ellin/Ion (in Greek) |