Learning Outcomes
Learn the basic concepts in research methodology, understanding the epistemological assumptions of various methodological approaches, understanding basic conceps of statistics applied to research and be able to designe a research proposal (theory, hypothesis, data collection and analysis)
Course Content (Syllabus)
The course has three parts: (a) The Epistemology of Scientific Research Methods, (b) Methodology και (c) Introduction to the basic concepts of Statistics. (a) Epistemology: In this part, the epistemology of scientific research is developed. Concepts, such as aims of research, generalization, theory, scientific explanation, prediction, scientific hypothesis, stating and testing hypothesis, empirical content, falsification, and theory building, were analyze. Differences and resemblances of Social and Natural sciences were discussed and the various ontological and epistemological positions underlying methodological approaches, “Nomothetic” or /and “idiographic”, are considered and evaluated.
(b) Methodology: The basic principles of research design are examined and the main methods of data collection, such as, survey method, interviews, sociometrics and experiments are described. Qualitative and quantitative approaches are explained within the logic of scientific discovery. (c) Introduction of basic Statistics: First, basic concepts of Descriptive Statistics, such as, frequency distributions, measures of central tendency, dispersion, variance, correlation, and contingency tables are examined. Next, The logic of Inferential Statistics is developed. Related concept such as normal distribution, levels of statistical significance, confidence intervals, p-values and null hypothesis are explained. The simple bivariate statistical tests are taught in a systematic way. Note that attendance of all lessons has been proved crucial for students’ competence and their final success in this course. The course assessment is realized with a final written examination and small projects.