Research Methods in Rehabilitation II (REK_209)
About Study Course
Objective
The purpose of the course is to give students the opportunity to gain in-depth knowledge of statistical data processing methods (descriptive statistics, inferential statistics methods for evaluating differences and analytical statistics), which are necessary for the development of a final thesis, to develop skills in analyzing research results and to improve skills in presenting research results.
Prerequisites
Research planning and implementation methodology.
Learning outcomes
The student will be able to recognize statistical terminology and methods used in various types of publications; is familiar with the possibilities of data processing offered by MS Excel and IBM SPSS; is familiar with the criteria for the use of data processing methods; correctly interpret the obtained research results.
The student will be able to correctly prepare data for statistical processing; to choose appropriate statistical data processing methods; to process research data using statistical data processing methods in Microsoft Excel and IBM SPSS Statistics computer programs; create tables and corresponding diagrams for the results obtained in Microsoft Excel and IBM SPSS Statistics computer programs; correctly describe the obtained research results.
The student will be able to make an argumentative decision on the use of statistical data processing methods to achieve the research goal and, using computer programs Microsoft Excel and IBM SPSS Statistics, to practically apply the acquired basic statistical methods in research data processing.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Rehabilitation, REHM | 4 | Master’s | Required | Signe Tomsone, Andrejs Ivanovs |
