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| Detailed information |
| Original study plan |
Master's programme Comparative Social Policy and Welfare 2025W |
| Learning Outcomes |
Competences |
- Students will be able to design and implement quantitative research projects, selecting appropriate statistical methodologies for different research problems.
- Students will develop the ability to critically assess quantitative research, recognising its strengths, limitations, and ethical considerations.
- Students will be equipped to integrate quantitative methods into their Master's thesis research, demonstrating proficiency in data collection, statistical analysis, and interpretation.
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| Skills |
Knowledge |
- (k4) Critically evaluate different quantitative research methods and their applicability to various research contexts.
- (k5) Select an appropriate quantitative research method and apply it to analyse empirical data.
- (k5) Conduct a structured quantitative data analysis, following methodological principles.
- (k6) Apply different approaches of quantitative research to design a research process.
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- Methodology and epistemological foundations of quantitative research.
- Key quantitative research methods, including regression analysis, variance analysis, and factor analysis.
- How research questions, data analysis, and findings are affected by different statistical approaches and methodological assumptions.
- Basic analyses and data visualisations using SPSS.
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| Criteria for evaluation |
Active participation during the Intensive Programme and in the Moodle on-line learning environment, written assignments.
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| Methods |
Introduction during the Intensive Programme at the beginning of the semester, afterwards distance learning methods supported by Moodle.
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| Language |
English |
| Study material |
Readings are provided by the instructor.
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| Changing subject? |
No |
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