What belongs in the sample description?
The sample description must cover all important demographic data of your sample. It is important that you are not yet presenting any results or making interpretations. This means that you describe the age, gender, nationality and other important characteristics of the sample.
What does sampling mean?
A sample is a subset of a population that has been selected based on certain criteria. Subject to surveys, the results of which are intended to say something about the population from which the sample was taken.
What is sampling?
Basically, the drawing of a sample is intended to be representative. This means that conclusions are drawn from the known characteristic values of the sample to unknown characteristic values (parameters) of the population. This population must be defined in connection with the research question.
Why large sample?
Larger samples result in smaller confidence intervals, i.e. a more precise estimate of sample parameters and a higher power. Power or test strength is the probability of actually discovering an existing effect.
When is a sample considered representative?
Representative samples are mainly used for surveys on attitudes, behavior and opinions of people for whom there is otherwise no precise statistical data (opinion polls, market research). The term “representative sample” is not a technical term.
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