Disciplines

Survey Research: Statistical Analysis and Estimation

Organizing institution
Utrecht University - Faculty of Social and Behavioural Sciences
Course code
S16
Course fee (excl. housing)
€ 600.00
Level
Master
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The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of complex surveys that include weighting, stratification and design effects. This course is organized by the Department of Methodology and Statistics (UU) in collaboration with Statistics Netherlands (CBS).

Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey analysis and estimation, and is organized by the Department of Methodology and Statistics (UU) in collaboration with Statistics Netherlands (CBS). Lectures, practical applications, and computer classes are alternated.


The course is intended for advanced students and professionals in such fields as social and behavioral research, marketing, business, health sciences, and official statistics. The course aims at researchers who intend to design and analyze their own survey, but also at researchers who analyze secondary data sets, such as the European Social Survey (ESS) or the International Social Survey Program (ISSP).


Central to the course is survey quality and the reduction of Total Survey Error (coverage, sampling, nonresponse, adjustment, measurement error, and processing error). Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R.


Lectures and computer classes cover basic ideas from the TSE-perspective, sampling and non-sampling error: an introduction in R, survey estimation and inference, complex sampling, nonresponse adjustment, and analysis of incomplete data.
Special attention will be given to the analysis of complex surveys - including weighting, stratification, and design effects - and to administrative data.


This course assumes knowledge of survey methodology and statistics. Participants should be acquainted with Analysis of Variance, Multiple Regression Analysis, standard errors, and have some hands-on experience with SPSS. No prior knowledge of R is assumed.


The course is taught from: De Leeuw, Hox & Dillman (2008). International Handbook of Survey Methodology. New York: Taylor & Francis. This book is not included in the course material. This book has to be purchased in advance.


A good preparation is our SummerSchool course ‘Survey Research: Design, Implementation and Data Processing’ (S15,19-23 August).


Participants are recommended to bring their own laptop computer (with SPSS and R installed) for the computer practicals.

Course director

Dr. Daniel Oberski (UU)

Lecturers

Daniel Oberski (UU), Bart Bakker (CBS).

Target audience

Whether you are working with existing survey data, or intend to analyze your own data, if you want to know more about statistical analysis and estimation of surveys in the 21st century, this course is for you.

The course is intended for advanced students and professionals in such fields as social and behavioral research, marketing, business, health sciences, and official statistics. The course aims at researchers who intend to design and analyze their own survey, but also at researchers who analyze secondary data such as the European Social Survey (ESS) or the International Social Survey Program (ISSP).

This course assumes general knowledge of survey methodology and statistics. Participants should be acquainted with the basics of Analysis of Variance, Multiple Regression Analysis, standard errors, and have some hands-on experience with a statistical package (e.g., SPSS, Stata, SAS). No prior knowledge of R is assumed.

A maximum of 30 participants will be allowed in this course.

Course aim

Under pressure of changes in modern society and technology, survey methodology is rapidly changing. This course aims to provide participants with state of the art knowledge and application oriented skills for survey analysis and estimation.

An overview of theory and practice of survey analysis and estimation is given, including the use of R for complex survey analysis.

After the course, participants are ready to apply the learned towards their own data or archived data sets, and are able to take advanced training in complex survey statistics and adjustment.

Study load

The course consists of formal lectures, less formal presentations or case studies, and practical exercises (with feedback) that apply the tools presented in the lectures.
A typical course day starts at 9.00 and ends at 17.00 with breaks for coffee, lunch and tea. In general, the morning session consists of lectures and presentations, and the afternoon session is a computer lab where the topics of the morning are applied on example data.
At the last day (Friday) after the morning program, there is the opportunity for individual consultation. Students who want to use this opportunity are expected to prepare for this in advance.

Costs

Course fee
€ 600.00
Housing fee
€ 200.00

Housing through Utrecht Summer School

Tuition fee for PhD students from the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by the Graduate School of Social and Behavioural Sciences.

The course is taught from ‘De Leeuw, Hox & Dillman (2008). International Handbook of Survey Methodology. New York: Taylor & Francis’. This book is not included in the course material. This book has to be purchased in advance. (e.g. Bol.com, Amazon.de).

Scholarships

Utrecht Summer School does not offer scholarships for this course.

More information

Irma Reyersen  -  MS.summerschool@uu.nl
Recommended combinations
Survey Research: Design, Implementation and Data Processing

Registration

Application deadline: 12 August 2019