Analysis of Social Research Data (LUSDK_264)
About Study Course
Objective
To provide knowledge and skills in statistical data processing methods required for the development of master's thesis and the application of statistical indicators in their specialty.
Prerequisites
Basic knowledge in mathematics and informatics.
Learning outcomes
Upon successful acquisition of the course, students' knowledge will allow them to:
* recognise statistical terminology and basic methods used in scientific publications;
* know IBM SPSS Statstics offered probabilities in data processing and visualising;
* know the criteria for using data processing methods;
* interpret the research results.
Upon successful acquisition of the course, the students will be able to:
* set up and edit database in Excel and IBM SPSS Statistics;
* precisely prepare data for statistical analysis;
* choose correct data processing methods;
* process data in IBM SPSS Statstics;
* create and edit tables, graphics in Excel and IBM SPSS Statistics;
* correctly describe the results.
Upon successful acquisition of the course, students will be able to decide what method to use for analysis and with the help of programs Excel and IBM SPSS analyse the data with the acquired knowledge.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Social work, SDNMp | 3 | Master’s | Required | Lolita Vilka, Ināra Kantāne | |
| Social work, SDNM | 3 | Master’s | Required | Lolita Vilka |
