Advanced statistics
Faculteit  Medische Wetenschappen / UMCG 
Jaar  2022/23 
Vakcode  BWM136 
Vaknaam  Advanced statistics 
Niveau(s)  master 
Voertaal  Engels 
Periode  semester I b 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Advanced statistics  
Leerdoelen  The student is able (1) to translate research questions and research hypotheses in statistical hypotheses, (2) to choose and perform statistical techniques adequately, (3) to interpret and present the results. connection: Advanced Statistics is a continuation of the statistics courses of the Bachelor program Human Movement Sciences. Students from other Bachelor programs should have knowledge with respect to: basic parametric and nonparametric tests, correlation and regression, analyses of variance (oneway, factorial, multivariate, repeated, covariance) and factor analyses. Furthermore, students should be able to analyse data using SPSS. International students can prepare for this course using the Elearning modules on the portal. Advances Statistics prepares for the Master Research Project. The written reports are incorporated in the line academic writing. 

Omschrijving  The first six course weeks will have a central theme: (1) testing differences, (2) correlation, (3) regression, (4) analyses of variance, (5) scale techniques, (6) introduction in mixed models For each theme on overview of theory will be given during an online electure. Each lecture is followed by a tutorial (4hrs). Based on an introduction of a paper with an accompanying data set, the students will be trained to investigate research questions statistically using SPSS and to report the data analyses method and the results in text, tables, and figures. For each task the students have to write a short report (maximal 2hrs additional to tutorial). During the feedback sessions (2hrs), the results will be discussed and additional feedback will be given by the lecturer. Furthermore, the written reports will be commented by peer review with extensive guidance by the lecturer. In the last course week, the students have to perform two tasks (old final exams) without supervision. The results will be discussed and feedback will be given. Assessment: The written reports are judged by fail/pass. The final exam consists of computerized tasks in which the student has to analyse data and report the results. The final exam will be judged with a grade between 0 and 10. Literature: Information with respect to the tasks is provided by Nestor. For additional reading the book 'Discovering statistics using SPSS for Windows' by A. Field is recommended. 

Uren per week  
Onderwijsvorm 
hoor en werkcolleges en practica
(Introduction lecture (1), electures (± 12), tutorials (20) and feedback sessions (12)) 

Toetsvorm 
verslag en presentatie
(Written reports, oral presentations and final (practical) exam) 

Vaksoort  Master  
Coördinator  dr. M.J.G. van Heuvelen  
Docent(en)  dr. M.J.G. van Heuvelen  
Verplichte literatuur 


Entreevoorwaarden  
Opmerkingen  
Opgenomen in 
