15 August 2014
on course website
Survey Research: Design, Implementation, and Data Processing
Changes in technology and society strongly influence modern survey research. This course covers the essentials of survey methodology and analysis. Topics include state of the art survey design, questionnaire construction and testing, modes of data collection, including online surveys and mixed mode design, data processing and survey analysis techniques, such as nonresponse analysis and scale and index construction. Best practice guidelines for phases of survey from design to implementation, analysis and reporting will be discussed. International comparative and longitudinal surveys are included.
E.D. de Leeuw
Whether you are working with survey data, intend to commission a survey, or carry out a survey yourself, if you want to know more about designing and analyzing modern surveys this course is for you.
This course assumes basic knowledge of methods and statistics (e.g. descriptive statistics). In the course SPSS will be used, but specific knowledge of SPSS is not required.
The course is intended for students, professionals, and managers from a variety of fields, such as social and behavioral research, marketing, business, health sciences, and official statistics, who would like to learn more about the survey process in the 21st century.
The aim of this course is to provide an overview of theory and practice of modern survey design and analysis. This course is useful for both novices in survey methodology and for more experienced students, who want to refresh their knowledge. After the course, participants are ready to apply the learned towards their own surveys, are able to critically assess existing surveys and survey documentation, and are able to take advanced training in survey methodology and analysis.
EUR 800: • € 800 - Course + course materials + housing
• € 600 - Course + course materials
-Register for this course
on course website