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About Study Course

Department: Statistics Unit
ECTS:3
Course supervisor:Diāna Kalniņa
Study type:Full time
Course level:Master's
Target audience:Psychology; Rehabilitation
Language:Latvian
Study course description Full description, Full time
Branch of science:Mathematics; Theory of probability and mathematical statistics

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

Knowledge

1.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.

Skills

1.Process research data; analyse the statistical indicators; in compliance with the set hypothesis/research question, correctly describe the obtained results.

Competence

1.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.