| Course title | Advanced Statistics for Quantitative Research |
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| Course code | DAS/ASQR |
| Organizational form of instruction | Seminar |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Winter and summer |
| Number of ECTS credits | 4 |
| Language of instruction | English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Course availability | The course is available to visiting students |
| Lecturer(s) |
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| Course content |
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Advanced statistical methods
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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This course provides students with opportunities to (i) learn advanced statistical methods and (ii) apply them to their own research projects. Topics include (linear/logistic) regression, structural equation modelling, mixed-effects modelling, along with data transformation (subject to change). Students are afforded an opportunity to work with R (a famous computational language for statistics and visualisations) under the environment of Rstudio (an integrated development environment) in their projects and data analysis assignments. In addition, students are expected to design their own research project in the form of a research proposal, with emphasis on statistical modelling.
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| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
active participation, attendance, fulfilling assignments (mini projects - statistical analysis of the given dataset, 2 pages & assigned reading), final project (research proposal - max 15 pages of research question/hypothesis, bachground, methods, expected results, references) |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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