Students learn :
- How to design a survey
- How to pretest a survey
- How to analyze the data of a survey
- How to report about the results of a survey study
Students are assumed to have basic knowledge of statistics program SPSS (e.g. from the obligatory statistics course in the BA/ PreMa Communication and Information Sciences)
The course consists of one small-scale lecture each week (max. 40 students). During these lectures, literature is discussed about the design characteristics of surveys (week 1/2), the methods available for pretesting surveys (week 2/3), the psychology of answering survey questions and the seemingly irrelevant characteristics of surveys that affect survey answers (week 4), the design of online surveys specifically (week 5) and the statistical analysis of survey data (week 6 and 7). In most lectures, there will also be room to bring the theory into practice, as students will themselves practice with designing a survey, prestesting a survey and analyzing survey data.
There are two assignments for this course.
1. Students will design and pretest a survey in an individual assignment (50% of the grade).
2. Students make an exam in which, among other things, they demonstrate their skill in analyzing survey data (50% of the grade)
The lectures and tutorials in which interactive teaching is involved, are mandatory.