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The Basics of the Statistical Data Processing Program IBM SPSS for Beginners. Simply About the Complicated
Study Course Description
Course Description Statuss:Approved
Course Description Version:3.00
Study Course Accepted:17.06.2022 15:53:54
| Study Course Information | |||||||||
| Course Code: | SL_036 | LQF level: | All Levels | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Mathematics; Theory of Probability and Mathematical Statistics | Target Audience: | Communication Science; Sociology; Political Science; Information and Communication Science | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Diāna Kalniņa | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Statistics Unit | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | Baložu iela 14, Block A, Riga, statistika rsu[pnkts]lv, +371 67060897 | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 0 | Lecture Length (academic hours) | 0 | Total Contact Hours of Lectures | 0 | ||||
| Classes (count) | 12 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 24 | ||||
| Total Contact Hours | 24 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Basic computer skills. | ||||||||
| Objective: | To learn the basics of the statistical data processing program IBM SPSS; to acquire skills for independent use of the program to process and analyse one's own research work. To promote awareness of the importance of statistics in conducting and interpreting research. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Preparing a data file for working with SPSS – data entry, description of variables. | Classes | 2.00 | computer room | |||||
| 2 | Working with data – coding text responses, creating new variables, recoding numerical values, filters. | Classes | 3.00 | computer room | |||||
| 3 | Basic activities of statistical analysis – frequencies, mean values, cross-tables, correlations. Interpretation of results. | Classes | 3.00 | computer room | |||||
| 4 | Interpretation and visualization of results. | Classes | 2.00 | computer room | |||||
| 5 | Individual work – from the data file to analytical conclusions about the research results. Work with a publicly accessible database. | Classes | 2.00 | computer room | |||||
| Assessment | |||||||||
| Unaided Work: | Every class will contain independent work. Outside classes and lectures, students study literature and e-learning materials. Analysis of scientific publications for deepening the understanding of the study course. | ||||||||
| Assessment Criteria: | At the end of the course, students do their own practical work. | ||||||||
| Final Examination (Full-Time): | Exam (Written) | ||||||||
| Final Examination (Part-Time): | |||||||||
| Learning Outcomes | |||||||||
| Knowledge: | Acquired knowledge about IBM SPSS capability; research data processing and basic elements of the statistical analysis. | ||||||||
| Skills: | Skills to work with IBM SPSS, including using IBM SPSS for statistical analysis. | ||||||||
| Competencies: | Student will be able to input and process research data independently in IBM SPSS; perform basic statistical analysis and draw statistically valid conclusions. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Pētniecība: teorija un prakse. (2016) K. Mārtinsones, A. Piperes, D. Kamerādes zin. red. Rīga: RAKA. | ||||||||
| 2 | A. Field. (2013). Discovering Statistics using IBM SPSS Statistics, 4th edition. | ||||||||
| Additional Reading | |||||||||
| 1 | Moore, D. S. (2003). The basic practice of statistics. New York: W. H. Freeman & Company. | ||||||||
| Other Information Sources | |||||||||
| 1 | SPSS Tutorial (for Beginners): Learn Online in Simple Steps | ||||||||
| 2 | SPSS Step-by-StepTutorial: Part 1 | ||||||||
