This course consists of two different parts:
 Part 1: Construction of questionnaires (construct question(naire)s to operationalize constructs)
 Part 2: Analyse questionnaires (use statistical procedures to determine the quality of a questionnaire)
Specifics
In the course, the followings techniques will be discussed both on a theoretical level and an applied level (e.g., performing analyses in SPSS and being able to interpret the resulting output):
 Determining the relationship between two variables (covariance & correlation)
 Reliability analysis
 Validity analysis (e.g., Principal Component analysis, Exploratory Factor Analysis and Confirmatory Factor analysis)
Concepts and techniques that are subsequently discussed are; associations among variables (like Spearman's correlation), measurement and measurement scales, reliability (Cronbach's alpha), (the different forms of) validity, construciton of questionnaires, exploratory factor analysis and confirmatory factor analysis.
Type of instructions
12 Lectures, 6 Tutorials, 2 SPSS lab sessions (to practice for the SPSS test at the end of the course, presence is not mandatory)
Type of exam
Paper and pencil MC + passing SPSS test
Reading
Exam material consists of the lecture slides and the tutorial exercises (compulsory reading), but as extra material students can use the following books:
 Julie Pallant, SPSS Survival Manual, Open University Press, Buckingham U.K.
 David de Vaus, Surveys in Social Research, Routledge
Tutorial sessions & lab sessions
Though participation in the tutorial sessions and lab session is voluntary, students are advised to participate in both. During tutorials, there is time to deepen the understanding of the material taught in the lectures and to work on assignments comparable to exam questions. In the lab sessions, students will get the opportunity to practice for the SPSS test at the end of the course.
