This course covers the essentials of modern survey methodology. It focuses on survey quality and the reduction of the Total Survey Error while balancing logistics and survey costs. The course introduces topics, such as coverage, sampling, nonresponse, optimal questionnaire development and design as well as mode effects.
Changes in technology and society strongly influence modern survey research. This course covers the essentials of modern survey methodology and analysis. Topics include state of the art survey design, questionnaire construction and testing, modes of and devices for data collection, data processing and survey analysis techniques, such as nonresponse analysis and scale and index construction and the design of multi-source statistics. Best practice guidelines for phases of the survey from design to implementation, analysis and reporting will be discussed. International comparative and longitudinal surveys are included. Best practice guidelines for surveys from design to implementation, analysis and reporting will be discussed.
Graduate students, academic researchers, researchers in the public and private sector, heads of departments, managers, and commissioners of research are increasingly dealing with surveys. This course is intended as an introduction at master/graduate level for those who are new to modern survey methodology and as a refresher course for those with some experience in survey methodology. Current developments will be reviewed and research literature will be discussed.
The course includes consultation sessions on Friday afternoon.
During this course, participants have the valuable opportunity to tap into on-location expertise. Our instructors are seasoned survey methodologist with extensive experience in pretesting, questionnaire design, measurement quality assessment, and proficiency in conducting web surveys and mixed-device surveys.
Prerequisites:
A basic knowledge of methods and statistics (e.g. introductory statistics) is required. In the course SPSS and R will be used, but specific knowledge of SPSS or R is not required.
Participants are requested to bring their own laptop. Software will be available online.
A good combination is our Summer School course Cross-national data: From questionnaire development to analysis (S72).
Dr. Katharina Meitinger
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 modern surveys this course is for you. This course assumes minimally bachelor level knowledge of methods and statistics. In the course SPSS will be used, but specific knowledge of SPSS is not required. In addition, exercises will be available in R. 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.
A maximum of 40 participants will be allowed in this course. Please note that the selection for this course will be done on a first-come-first-served basis.
The aim of this course is to provide an overview of theory and practice of modern survey design. 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.
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.
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 & tea, lunch, and drinks &snacks.
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.
You will receive a certificate upon course completion. Please be aware that this course does not include graded activities, and therefore we cannot provide a transcript of grades.
PhD students from the Faculty of Social and Behavioural Sciences at Utrecht University have the opportunity to attend three Winter/Summer School courses funded by the Graduate School of Social and Behavioural Sciences. Additionally, they may choose to take as many courses as they wish at their own expense from their personal budget.
There are no scholarships available for this course.
We also offer tailormade M&S courses and in-house M&S training. If you want to look the possibilities, please contact us at ms.summerschool@uu.nl
The housing costs do not include a Utrecht Summer School sleeping bag. This is a separate product on the invoice. If you wish to bring your own bedding, please deselect or remove the sleeping bag from your order.