Research Data Analysis (SL_030)
About Study Course
Objective
To enhance MA students' comprehension of the quantitative and qualitative data processing methods; to improve the data processing skill; to develop the ability of independent decision-making about the use of suitable data processing methods in the respective situation for proving the set hypotheses or the clarification of a study issue.
Prerequisites
Bachelor's experience in research and knowledge in research methodology.
Learning outcomes
Students use the terminology that is suitable for the research strategy (mathematical statistics terminology/qualitative research terminology); explain differences between different data processing methods; mention and characterise the data processing methods that apply to different research designs.
Process research data; analyse the statistical indicators; in compliance with the set hypothesis/research question, correctly describe the obtained results.
Apply the data processing methods that are appropriate for the particular research design; analyse and interpret the results of data processing; formulate correct conclusions concerning the approval or rejection of the hypotheses, put forward in the study, or about research questions.
