History | Staff & Course Pages (2011-2018)

Topics in Survey Methodology and Survey Analysis, fall 2011


Part 1: Prof. Seppo Laaksonen
Part 2: University Lecturer Kimmo Vehkalahti
Part 3: Prof. Risto Lehtonen


Advanced studies


Lectures 24 hours
PC classes 9 hours

Credits: 4/6 ECTS credits

Assessment: Active participation during the course, exam 4 cu + optional homework assignment of 2 cu


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.

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.


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.

Topics of Part 2 (Kimmo Vehkalahti): Exploratory and confirmatory analysis, reliability, validity and measurement errors, data reduction with factor analysis, visualization of multidimensional data.

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.

Lectures and PC classes


Part 1: Seppo Laaksonen
Lectures: Tuesday 13 Sept. at 14-18
Thursday 15 Sept. at 14-16
PC training: Thursday 15 Sept. at 16-19

Part 2: Kimmo Vehkalahti
Lectures: Monday 19 Sept. at 14-18 ***NOTE DATE CHANGE
Thursday 22 Sept. at 14-16
PC training: Thursday 22 Sept. at 16-19

Part 3: Risto Lehtonen
Lectures: Monday 26 Sept. at 14-18 ***NOTE DATE CHANGE
Thursday 29 Sept. at 14-16
PC training: Thursday 29 Sept. at 16-19

Venue: SSKH IT-sal, Snellmaninkatu 12


Course exam: Monday 10 October at 14:00-17:00, Room U37 LS

Course exam - Resit: Monday 7 November at 13:00-16:00, Kumpula Campus, Exactum, Room B120 **NEW**


Lehtonen R. and Pahkinen E. (2004). Practical Methods for Design and Analysis of Complex Surveys. Second Edition. Chichester: John Wiley & Sons. Chapter 8.

Additional materials:

International Handbook of Survey Methodology by Edith D. de Leeuw (Editor), joop Hox (Editor), Don Dillman (Editor). (European Association of Methodology Series), 2008

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)

Applied survey methods: a statistical perspective by Jelke G. Bethlehem. John Wiley and Sons, 2009

Web materials

VLISS-virtual laboratory in survey sampling http://mathstat.helsinki.fi/VLISS/

Lecture materials


Another annex https://wiki.helsinki.fi/download/attachments/71485961/Don%27t+Know+Case.pdf

Ethiopian surveys (a new version 20 Sept) https://wiki.helsinki.fi/download/attachments/71485961/Ethiopia_hy.pdf

Computer classes

Downloads for PC training:

Program codes:
SAS code for logistic regression on correlated responses (OHC data set)
Mplus code for design-based logistic regression with Mplus (COMPLEX type analysis)

Data sets:
SAS data set OHC
SPSS data set OHC NOTE: CSPLAN file is created in PC session
Mplus data set OHC

Homework assignments (2 cu)

Common use homework based on OHC data
Download Homework
Alternatively, own data set can be used

NOTE: For those who plan homework based on own data: Please prepare a 1 page document describing study problem,
data, methods and tools, and send it to the instructors as email attachment (pdf) by 10 October 2011.
Meetings will be organized for details (if needed) after exam date (will be agreed separately).


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