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1 = Topics in Survey Methodology and Survey Analysis, fall 2011 =
2
3 === Lecturers ===
4
5 Part 1: [[Prof. Seppo Laaksonen>>doc:SocStats.Etusivu.Laaksonen, Seppo.WebHome]]
6 Part 2: [[University Lecturer Kimmo Vehkalahti>>doc:SocStats.Etusivu.Vehkalahti, Kimmo.WebHome]]
7 Part 3: [[Prof. Risto Lehtonen>>doc:SocStats.Etusivu.Lehtonen, Risto.WebHome]]
8
9 === Type ===
10
11 Advanced studies
12
13 === Scope ===
14
15 Lectures 24 hours
16 PC classes 9 hours
17
18 Credits: 4/6 ECTS credits
19
20 Assessment: Active participation during the course, exam 4 cu + optional homework assignment of 2 cu
21
22 === Description ===
23
24 The course covers materials on modern survey research methods used for empirical quantitative research in social and behavioral sciences and economics. Topics include study design, sampling methods, data collection and measurement, data cleaning (edit, imputation) and the analysis of complex survey data. The course is of applied type. Treatment of each method includes general description of the methodology, data requirements, computation, worked examples and real-world case studies. Selected computational tools (SAS, SPSS) are practiced in computer classes.
25
26 The course is intended to post-graduate students in social and behavioral sciences and economics but also can be included in methodologically oriented Master studies (e.g. the REMS program) and Master studies in statistical science.
27
28 === Contents ===
29
30 Topics of Part 1 (Seppo Laaksonen): Study design, basic sampling techniques, data collection modes, treatment of nonresponse, reweighting, imputation techniques (single and multiple imputation), use of secondary data (data archives, administrative and register data sources). Examples include: The European Social Survey, The PISA and the Ethiopian Consumption and Welfare Monitoring Survey.
31
32 Topics of Part 2 (Kimmo Vehkalahti): Exploratory and confirmatory analysis, reliability, validity and measurement errors, data reduction with factor analysis, visualization of multidimensional data.
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34 Topics of Part 3 (Risto Lehtonen): Hierarchical or multilevel data, analysis of multilevel or cluster correlated data, basic multilevel modelling, linear and logistic mixed models, software.
35
36 === Lectures and PC classes ===
37
38 PLEASE NOTE DATE CHANGES IN VEHKALAHTI AND LEHTONEN PARTS!
39
40 Part 1: Seppo Laaksonen
41 Lectures: Tuesday 13 Sept. at 14-18
42 Thursday 15 Sept. at 14-16
43 PC training: Thursday 15 Sept. at 16-19
44
45 Part 2: Kimmo Vehkalahti
46 Lectures: Monday 19 Sept. at 14-18 ~*~**NOTE DATE CHANGE
47 Thursday 22 Sept. at 14-16
48 PC training: Thursday 22 Sept. at 16-19
49
50 Part 3: Risto Lehtonen
51 Lectures: Monday 26 Sept. at 14-18 ~*~**NOTE DATE CHANGE
52 Thursday 29 Sept. at 14-16
53 PC training: Thursday 29 Sept. at 16-19
54
55 Venue: SSKH IT-sal, Snellmaninkatu 12
56
57 === Exams ===
58
59 Course exam: Monday 10 October at 14:00-17:00, Room U37 LS
60
61 Course exam - Resit: Monday 7 November at 13:00-16:00, Kumpula Campus, Exactum, Room B120 ~*~***NEW**~*~*
62
63 === Textbook ===
64
65 [[Lehtonen R. and Pahkinen E. (2004)>>url:http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470847697.html||shape="rect"]]. Practical Methods for Design and Analysis of Complex Surveys. Second Edition. Chichester: John Wiley & Sons. Chapter 8.
66
67 Additional materials:
68
69 International Handbook of Survey Methodology by Edith D. de Leeuw (Editor), joop Hox (Editor), Don Dillman (Editor). (European Association of Methodology Series), 2008\\
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71 Survey Methodology (Wiley Series in Survey Methodology) by Robert M. Groves (Author), Floyd J. Fowler (Author), Mick P. Couper (Author), James M. Lepkowski (Author), Eleanor Singer (Author), Roger Tourangeau (Author)\\
72
73 Applied survey methods: a statistical perspective by Jelke G. Bethlehem. John Wiley and Sons, 2009
74
75 === Web materials ===
76
77 VLISS-virtual laboratory in survey sampling [[http:~~/~~/mathstat.helsinki.fi/VLISS/>>url:http://mathstat.helsinki.fi/VLISS/||shape="rect"]]
78
79 === Lecture materials ===
80
81 * [[Part 1 (Seppo Laaksonen)\>>attach:Part 1.pdf]]
82
83 [[https:~~/~~/wiki.helsinki.fi/download/attachments/71485961/Sampling_File_.pdf>>url:https://wiki.helsinki.fi/download/attachments/71485961/Sampling_File_.pdf||shape="rect"]]
84
85 Another annex [[https:~~/~~/wiki.helsinki.fi/download/attachments/71485961/Don%27t+Know+Case.pdf>>url:https://wiki.helsinki.fi/download/attachments/71485961/Don%27t+Know+Case.pdf||shape="rect"]]
86
87 Ethiopian surveys (a new version 20 Sept) [[https:~~/~~/wiki.helsinki.fi/download/attachments/71485961/Ethiopia_hy.pdf>>url:https://wiki.helsinki.fi/download/attachments/71485961/Ethiopia_hy.pdf||shape="rect"]]
88
89 * [[Part 2 (Kimmo Vehkalahti)>>attach:Part2_Kimmo_Vehkalahti.pdf]]
90
91 * \\
92 ** [[EU 1996 data>>attach:EU1996.sav]]
93
94 * [[Part 3 (Risto Lehtonen)>>attach:Social_Statistics_PART3_Analysis.pdf]]
95 Additional downloads:
96 [[Slides: Multilevel modelling in PISA Survey>>attach:Case_PISA_en.pdf]]
97 [[Lehtonen-Pahkinen (2004) Sections 8.3 and 8.4>>attach:Lehtonen-Pahkinen_2004_Section_8.3_8.4.pdf]] on logistic modelling of complex survey data
98 [[Lehtonen-Pahkinen (2004) Section 9.4>>attach:Lehtonen-Pahkinen_2004_Section_9.4.pdf]] on multilevel modelling of complex survey data
99 [[Sampling Manual>>attach:Eurostat_sampling_manual.pdf]] on sampling and estimation design
100
101 === Computer classes ===
102
103 Downloads for PC training:
104
105 Program codes:
106 [[SAS code>>attach:PC_Session_SAS.sas]] for logistic regression on correlated responses (OHC data set)
107 [[Mplus code>>attach:Mptext_OHC.inp]] for design-based logistic regression with Mplus (COMPLEX type analysis)
108
109 Data sets:
110 [[SAS data set OHC>>attach:ohc.sas7bdat]]
111 [[SPSS data set OHC>>attach:ohc.sav]] NOTE: CSPLAN file is created in PC session
112 [[Mplus data set OHC>>attach:ohc.inp]]
113
114 === Homework assignments (2 cu) ===
115
116 Common use homework based on OHC data
117 Download [[Homework>>attach:Homework_assignment.pdf]]
118 Alternatively, own data set can be used
119
120 NOTE: For those who plan homework based on own data: Please prepare a 1 page document describing study problem,
121 data, methods and tools, and send it to the instructors as email attachment (pdf) by 10 October 2011.
122 Meetings will be organized for details (if needed) after exam date (will be agreed separately).
123
124 === [[Registration>>url:https://oodi-www.it.helsinki.fi/hy/opintjakstied.jsp?html=1&Tunniste=796110||shape="rect"]] ===
125
126 Did you forget to register? [[What to do>>doc:mathstatOpiskelu.Etusivu.Kysymys4.WebHome]].