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Research Methods in Rehabilitation II
Study Course Description
Course Description Statuss:Approved
Course Description Version:3.00
Study Course Accepted:14.08.2024 09:18:47
| Study Course Information | |||||||||
| Course Code: | REK_209 | LQF level: | Level 7 | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Clinical Medicine; Sports Medicine and Rehabilitation | Target Audience: | Rehabilitation; Medical Services | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Signe Tomsone | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Department of Rehabilitation | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | Riga, 26a Anninmuizas boulevard, rk rsu[pnkts]lv, +371 20271291 | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 0 | Lecture Length (academic hours) | 0 | Total Contact Hours of Lectures | 0 | ||||
| Classes (count) | 6 | Class Length (academic hours) | 4 | Total Contact Hours of Classes | 24 | ||||
| Total Contact Hours | 24 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Research planning and implementation methodology. | ||||||||
| 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. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Descriptive statistics | Classes | 1.00 | E-Studies platform | |||||
| 2 | Data analysis methods | Classes | 1.00 | E-Studies platform | |||||
| 3 | Comparative analysis of parametric data | Classes | 1.00 | E-Studies platform | |||||
| 4 | Correlation analysis | Classes | 1.00 | E-Studies platform | |||||
| 5 | Regression analysis | Classes | 1.00 | E-Studies platform | |||||
| 6 | Presentation of research results | Classes | 1.00 | auditorium | |||||
| Assessment | |||||||||
| Unaided Work: | Research data files will be prepared for each student (or the student can use his / her research data) with defined research tasks. The student will need to process the data to achieve the defined tasks using descriptive statistical methods, conclusion statistics and / or analytical statistical methods, describe the obtained results in the final work, design the work according to the requirements and present the obtained results in the last lesson. In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal. | ||||||||
| Assessment Criteria: | Participation in practical classes and performance of planned tasks (60%), presentation of independent work (40%). | ||||||||
| Final Examination (Full-Time): | Exam | ||||||||
| Final Examination (Part-Time): | |||||||||
| Learning Outcomes | |||||||||
| Knowledge: | 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. | ||||||||
| Skills: | 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. | ||||||||
| Competencies: | 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. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Practical Statistics for Medical Research By Douglas G. Altman, Boca Raton [etc.] : Chapman & Hall/CRC, 1999. (akceptējams izdevums) | ||||||||
| 2 | Pētniecības termiņu vārdnīca | ||||||||
| Other Information Sources | |||||||||
| 1 | Elektroniskie informācijas resursi/ Electronic information resources | ||||||||
