Modelling hierarchically structured data with MLwiN software, spring 2014
Modelling hierarchically structured data with MLwiN software, spring 2014
Lecturers
Professor Antero Malin University of Jyväskylä (main lecturer)
Professor Risto Lehtonen
Type
Advanced studies
Code
796116
Scope
Lectures and PC classes: 12 hours
Credits
3 ECTS credits with completed practical work (see Homework)
Description
Hierarchically structured data are common in quantitative research in social sciences, psychology and educational sciences. The hierarchical structure of the data involves correlations between observations and these correlations must be accounted for in statistical analysis. Hierarchical or multilevel models are often used for this purpose. In the course, basic properties of multilevel regression and ANOVA models are introduced and demonstrated with the MLwiN software, one of the leading software in multilevel modelling. In addition to lecture sessions, PC training sessions will be arranged for practical application of the methods, using real data sets.
Target group
The course is intended to post-graduate students in social and behavioral sciences and economics (the main target group) but also can be included in methodologically oriented Master studies (e.g. the REMS program) and Master studies in statistical science.
Number of students
Max. 24 students
Schedule and venue
Dates: Two-day intensive course in 22-23 May 2014, at 9-12, 13-16 each day
Venue: Swedish School of Social Science (Snellmaninkatu 12), 1st floor, IT classroom 110 (SSKH IT-SAL 110).
Course schedule
Thursday 22 May 2014
9:00 - 9:45 Lectures Risto Lehtonen
10:00-12:00 Lectures Antero Malin
12:00-13:00 Lunch break
13:00-13:45 Lectures (continued)
13:45-14:15 Coffee break
14:15-16:00 PC training
Friday 23 May 2014
9:00-9:45 Lectures Risto Lehtonen
10:00-12:00 Lectures Antero Malin
12:00-13:00 Lunch break
13:00-13:45 Lectures (continued)
13:45-14:15 Coffee break
14:15-16:00 PC training
Lecture materials and Homework
Antero Malin
Risto Lehtonen
Lehtonen-Pahkinen (2004)
Weighting in Pisa
MOODLE for Course homework and data sets
Main reading
Goldstein H. (2003). Multilevel Statistical Models, 3rd Ed. London: Arnold.
or
Goldstein H. (2011). Multilevel Statistical Models, 4th Ed. London: Arnold.
e-book accessible via Dawsonera Helka
2nd Edition - Downloadable, free 1995 version
Software
MLwiN software package for fitting multilevel models: Software website
MLwiN manuals can be downloaded here
See here how to get data into MLwiN
Supplementary reading
Lehtonen R. and Pahkinen E. (2004). Practical Methods for Design and Analysis of Complex Surveys. Second Edition. Chichester: Wiley. Section 9.4.
e-book accessible via Dawsonera Helka
Information
Prof. Risto Lehtonen risto.lehtonen@helsinki.fi
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