.
Basic Statistics
Study Course Description
Course Description Statuss:Approved
Course Description Version:7.00
Study Course Accepted:03.03.2023 08:42:04
| Study Course Information | |||||||||
| Course Code: | SL_018 | LQF level: | Level 7 | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Mathematics; Theory of Probability and Mathematical Statistics | Target Audience: | Nursing Science | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Madara Miķelsone | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Statistics Unit | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | 14 Balozu street, Block A, Riga, +371 67060897, statistika rsu[pnkts]lv, www.rsu.lv/statlab | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 6 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 12 | ||||
| Classes (count) | 6 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 12 | ||||
| Total Contact Hours | 24 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Students need background knowledge in mathematics at least at secondary level and basic computer skills. | ||||||||
| Objective: | Provide basic information about the structure of statistical methods, work with IBM SPSS, data visualization and to recognize statistical methods which are used in medical publications. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Introduction. The importance of statistics for health care professionals. The use of statistical methods in medical publications. | Lectures | 2.00 | auditorium | |||||
| 2 | Introduction to IBM SPSS. Import and export of data. Basic work with IBM SPSS. | Classes | 2.00 | computer room | |||||
| 3 | Descriptive statistics for qualitative and quantitative data. | Lectures | 1.00 | auditorium | |||||
| 4 | Qualitative and quantitative analysis methods based on mathematical statistics. | Lectures | 1.00 | auditorium | |||||
| 5 | Data visualization in IBM SPSS. | Classes | 2.00 | computer room | |||||
| 6 | Work with Microsoft Excel for data processing and visualizations. | Classes | 1.00 | auditorium | |||||
| 7 | Introduction to database creation for internet surveys. | Lectures | 1.00 | auditorium | |||||
| 8 | Independent work with data analysis and visualization of research data. | Classes | 1.00 | computer room | |||||
| 9 | Presentation of independent work. | Lectures | 1.00 | computer room | |||||
| Assessment | |||||||||
| Unaided Work: | 1. Individual work with literature – accordingly topics. 2. Each student will be provided with a research data file (or they can use their own research data) with defined research objectives - to statistically process the data in order to achieve the defined objectives, using descriptive statistics, incl. data visualization and report the results in the final class. | ||||||||
| Assessment Criteria: | Practical seminar attendance (50%). For every missed lecture a practical assingment. After completion of study course exam – presentation of individual work (50%). | ||||||||
| Final Examination (Full-Time): | Exam (Written) | ||||||||
| Final Examination (Part-Time): | |||||||||
| Learning Outcomes | |||||||||
| Knowledge: | After completion of this course, students will demonstrate basic knowledge that allow: * To visualize statistical data correctly; * Create an online questionnaire. | ||||||||
| Skills: | After completion of this course, students will be able to: * demonstrate the knowledge required for correct input of research data in MS Excel and IBM SPSS; * combine the theory and methods necessary for summarizing and visualizing the research results; * navigate the principles of creating a database; * perform research work related to the basic manipulations of descriptive statistics in IBM SPSS. | ||||||||
| Competencies: | Skills to identify and apply the most important basic concepts and terminology in practice. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Petrie A. & Sabin C. Medical Statistics at a Glance. 4th edition, 2020. | ||||||||
| 2 | Field A. Discovering Statistics using IBM SPSS Statistics. 4th edition, 2018. | ||||||||
