In this course the principles of questionnaire design, use and analysis are discussed in the context of large scale surveys and smaller scale research with attention to both the substantial and statistical level. The substantial level mainly concerns the construction and testing of questionnaires, sampling and selection of respondents, data cleaning, the reporting of Survey Research, ethics, and critical reading. The statistical part concerns statistical techniques as a part of scale and data quality checking, general estimation techniques as a part of scale and data quality checking, general estimation techniques, (multiple-) imputation techniques and analysis of incomplete data. The course will guide students through the complete process of doing a survey research, from determining the research question and the variables to be measured, defining the target population, contructing the questionnnaire, the data-collection process, to the reporting of the statistical analyses.
After this course the students:
Have an understanding of the properties of a survey
Can design a survey and assess the quality of any given questionnaire
Can critically assess a scientific paper on the topic
Have learned how to do survey research
Have learned to critically evaluate a survey research plan to make suggestions for improvement
Have learned statistical techniques for data quality control, multiple imputation and the analysis of survey research data, and can apply and interpret these techniques
Have learned how to handle instruments for determining whether a survey research is of good quality
Are aware and have knowledge of the disadvantages and advantages of convenience sampling
Are aware of ethical issues concerning questionnaire and survey research and are willing to behave accordingly.
See the Leiden University students' website for the Statistical Science programme -> Schedules 2018-2019
Mode of Instruction
This course is a combination of lectures and (computer) practicals.
Written exam, and assignments (usually based on computer lab sessions). The final grade consists for two-thirds of the grade for the exam, and for one third of the total grade for the assignments. For both parts a grade higher than 5.0 is required, and the total grade must be at least 5.5 in order to pass.
Data information about the exam and resit can be found in the Time Table pdf document under the tab 'Master Programme' at
Bethlehem, J. (2009). Applied survey methods: A statistical perspective. Wiley, Hoboken.
Specific articles to be handed out during the course.
Registration for the course
Enroll in Blackboard for the course materials and course updates.
Registration for the final course grade
To be able to obtain a grade and the EC for the course, sign up for the (re-)exam in uSis ten calender days before the actual (re-)exam will take place. Note, the student is required to participate actively in all activities of the program and therefore uses and registers for the first exam opportunity.
JGinkel [at] fsw [dot] leidenuniv [dot] nl