There is a common misbelief that a greater sample is better and allows you to generalise your results. This is only partially true. A larger sample has opportunities, as the p-value (significance) becomes better (or smaller) with a larger sample, (this is the reason that there is a significant correlation of the stork population and babies). However, this does allow you per se to generalise your research results. In this session, we will talk about criteria for sample construction and about pitfalls.
As mentioned previously, survey design research is quite common. That is the reason why this session focuses on this topic. We will talk about the structure of a questionnaire, pitfalls, pretests and various other important topics.
Once you have specified the central constructs and/or concepts and their relationships (hypotheses), you need to develop measures that allow you to have specific numbers that you can specify your ideas empirically. There are different approaches to measurement development, all faced with different pros and cons.
