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1 = Modelling hierarchically structured data with MLwiN software, spring 2014 =
2
3 **Lecturers**
4
5 Professor [[Antero Malin>>url:http://ktl.jyu.fi/ktl/english/staff/antero_malin||shape="rect"]] University of Jyväskylä (main lecturer)
6 Professor [[Risto Lehtonen>>url:http://wiki.helsinki.fi/display/SocStats/Lehtonen%2C+Risto||shape="rect"]]
7
8 **Type**
9
10 Advanced studies
11
12 **Code**
13
14 796116
15
16 **Scope**
17
18 Lectures and PC classes: 12 hours
19
20 **Credits**
21
22 3 ECTS credits with completed practical work (see Homework)
23
24 **Description**
25
26 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.
27
28 **Target group**
29
30 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.
31
32 **Number of students**
33
34 Max. 24 students
35
36 **Schedule and venue**
37
38 Dates: Two-day intensive course in **22-23 May 2014**, at 9-12, 13-16 each day
39 Venue: Swedish School of Social Science (Snellmaninkatu 12), 1st floor, IT classroom 110 (SSKH IT-SAL 110).
40
41 Course schedule
42
43 **Thursday 22 May 2014**
44 9:00 - 9:45 Lectures Risto Lehtonen
45 10:00-12:00 Lectures Antero Malin
46 12:00-13:00 Lunch break
47 13:00-13:45 Lectures (continued)
48 13:45-14:15 Coffee break
49 14:15-16:00 PC training
50
51 **Friday 23 May 2014**
52 9:00-9:45 Lectures Risto Lehtonen
53 10:00-12:00 Lectures Antero Malin
54 12:00-13:00 Lunch break
55 13:00-13:45 Lectures (continued)
56 13:45-14:15 Coffee break
57 14:15-16:00 PC training
58
59 **Lecture materials and Homework**
60
61 [[Slides>>attach:Slides_Antero_Malin.pdf]] Antero Malin
62 [[Slides>>attach:Introduction.pdf]] Risto Lehtonen
63
64 [[Case Study: Pisa>>attach:CaseStudyPISA.pdf]]
65 Lehtonen-Pahkinen (2004) [[Section 9.4 >>attach:Lehtonen-Pahkinen_2004_Section_9.4.pdf]]
66 \\[[Pisa Tables>>attach:Pisa_Tables.pdf]](% class="confluence-link" %)[[Weighting >>url:http://www2.units.it/nirdses/sito_inglese/working%20papers/files%20for%20wp/wp119.pdf||shape="rect"]]in Pisa
67
68
69 [[**MOODLE **>>url:https://moodle.helsinki.fi/course/view.php?id=12929||shape="rect"]]for Course homework and data sets
70
71 **Main reading**
72
73 Goldstein H. (2003). Multilevel Statistical Models, 3rd Ed. London: Arnold.
74 or
75 Goldstein H. (2011). Multilevel Statistical Models, 4th Ed. London: Arnold.
76 e-book accessible via Dawsonera [[Helka>>url:https://helka.linneanet.fi/cgi-bin/Pwebrecon.cgi?LANGUAGE=English&DB=local&PAGE=First||shape="rect"]]
77 [[2nd Edition>>url:http://www.bristol.ac.uk/cmm/team/hg/msm-2nd-ed/||shape="rect"]] - Downloadable, free 1995 version
78
79 **Software**
80
81 MLwiN software package for fitting multilevel models: [[Software website>>url:http://www.bristol.ac.uk/cmm/software/mlwin/||shape="rect"]]
82
83 MLwiN manuals can be downloaded [[here>>url:http://www.bristol.ac.uk/cmm/software/mlwin/download/manuals.html||shape="rect"]]
84
85 See [[here >>url:http://www.bristol.ac.uk/cmm/software/mlwin/support/support-faqs/data-in/||shape="rect"]]how to get data into MLwiN
86
87 **Supplementary reading**
88
89 Lehtonen R. and Pahkinen E. (2004). Practical Methods for Design and Analysis of Complex Surveys. Second Edition. Chichester: Wiley. Section 9.4.
90 e-book accessible via Dawsonera [[Helka>>url:https://helka.linneanet.fi/cgi-bin/Pwebrecon.cgi?LANGUAGE=English&DB=local&PAGE=First||shape="rect"]]
91
92 **Information**
93
94 Prof. Risto Lehtonen risto.lehtonen@helsinki.fi
95
96 [[**Registration**>>url:https://oodi-www.it.helsinki.fi/hy/opintjakstied.jsp?html=1&Tunniste=796116||shape="rect"]]
97
98 Did you forget to register? [[What to do>>url:http://wiki.helsinki.fi/display/mathstatOpiskelu/Kysymys4||shape="rect"]].