Applied Statistics
Faculteit | Gedrags- en MaatschappijWetenschappen |
Jaar | 2020/21 |
Vakcode | GMMSGE28 |
Vaknaam | Applied Statistics |
Niveau(s) | master |
Voertaal | Engels |
Periode | semester II a |
ECTS | 10 |
Rooster | rooster.rug.nl |
Uitgebreide vaknaam | Applied Statistics | ||||||||||||
Leerdoelen | After the course students will have gained a deeper understanding of the principles of statistical design and analysis by practical applications to real data sets, both from experimental and observational studies. They have refreshed and broadened their knowledge about theoretical topics have practiced and extended their skills by carrying out a research project (using R), with a (real) research question and empirical data. After the course students are able to write a good first draft of a methods, results and discussion section of a scientific paper, after having selected and performed the appropriate statistical analyses. | ||||||||||||
Omschrijving | The theoretical part of this course offers an in-depth review of some major themes of quantitative research: a. Research questions and design. b. Data inspection (including missing data). c. Estimation and hypothesis testing. d. Bayesian statistics and testing. e. Generalized linear models and diagnostics. f. Validity and generalizability. In the practical part of the course a research project is carried out, for which each student will work with an individual data set and accompanying research project, often provided by the research master supervisor. The research project is supported in lab classes using R with weekly assignments and supervised in 30-60 minute weekly or biweekly meetings with the applied statistics supervisor giving feedback on assignments. A midterm oral presentation on the design of the research project and a written final report complete the practical part. |
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Uren per week | |||||||||||||
Onderwijsvorm |
(6 two-hour lectures; computer lab time (7x2 hours) and 6x two-hour extra class time (exercises/questions/class discussions); weekly or bi-weekly meetings with applied statistics supervisor) |
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Toetsvorm |
(Midterm oral presentation on the design of the research project; written final research project report and exam (part multiple-choice, and part essay))) |
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Vaksoort | master | ||||||||||||
Coördinator | prof. dr. M.A.J. van Duijn | ||||||||||||
Docent(en) | dr. L.F. Bringmann ,dr. J.M.E. Huisman ,dr. M.C.S. Paap ,dr. W.J. Post ,prof. dr. M.A.J. van Duijn ,dr. M.J. Warrens | ||||||||||||
Verplichte literatuur |
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Entreevoorwaarden | Successful completion of the R workshop offered in the Introduction course (1a). For the research project: A data set with research questions (supported by the Research Master's supervisor) |
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Opmerkingen | The course is part of the Research Master's programme in Behavioural and Social Sciences, and therefore offered in English. The course is only open to students from this Research Master's programme. | ||||||||||||
Opgenomen in |
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