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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

Slides Antero Malin
Slides Risto Lehtonen

Case Study: Pisa
Lehtonen-Pahkinen (2004) Section 9.4
Pisa Tables
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

Registration

Did you forget to register? What to do.

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