Admission Requirements
None.
Description
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, and ethics. 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.
Course objectives
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.
Timetable
In MyTimetable, you can find all course and programme schedules, allowing you to create your personal timetable. Activities for which you have enrolled via MyStudyMap will automatically appear in your timetable.
Additionally, you can easily link MyTimetable to a calendar app on your phone, and schedule changes will be automatically updated in your calendar. You can also choose to receive email notifications about schedule changes. You can enable notifications in Settings after logging in.
Questions? Watch the video, read the instructions, or contact the ISSC helpdesk.
Note: Joint Degree students from Leiden/Delft need to combine information from both the Leiden and Delft MyTimetables to see a complete schedule. This video explains how to do it.
Mode of Instruction
This course is a combination of lectures and (computer) practicals.
Assessment method
Written exam, and assignments (mostly 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. There will be a resit for the exam for the students who failed the first time. Students who have a grade for the practical assignments below 5.0 can redo the parts that were graded unsatisfactorilly. The resulting total grade for the corrected final assignment cannot be any higher than 6.0.
Reading list
Bethlehem, J. (2009). Applied survey methods: A statistical perspective. Wiley, Hoboken.
Specific articles to be handed out during the course.
Registration
As a student, you are responsible for enrolling on time through MyStudyMap.
In this short video, you can see step-by-step how to enrol for courses in MyStudyMap.
Extensive information about the operation of MyStudyMap can be found here.
There are two enrolment periods per year:
Enrolment for the fall opens in July
Enrolment for the spring opens in December
See this page for more information about deadlines and enrolling for courses and exams.
Note:
It is mandatory to enrol for all activities of a course that you are going to follow.
Your enrolment is only complete when you submit your course planning in the ‘Ready for enrolment’ tab by clicking ‘Send’.
Not being enrolled for an exam/resit means that you are not allowed to participate in the exam/resit.
Contact
JGinkel [at] fsw [dot] leidenuniv [dot] nl
Remarks
This is a compulsory course for those students who wish to receive an "European Master of Official Statistics (EMOS)" certificate on top of their diploma in Statistics & Data Science.
Software
Starting from the 2024/2025 academic year, the Faculty of Science will use the software distribution platform Academic Software. Through this platform, you can access the software needed for specific courses in your studies. For some software, your laptop must meet certain system requirements, which will be specified with the software. It is important to install the software before the start of the course. More information about the laptop requirements can be found on the student website.