In the previous section, based on the underlying research question, the state of the art and the theoretical framework was explained. Furthermore, the previous chapters explained how the research questions was raised and what hypotheses can be derived from it. To test the hypotheses, the predefined dimensions are to be analytically tested with the help of a factor analysis. The data will be collected in a quantitative analysis by distributing the self-developed questionnaire. In a following step, the data will be tested against the normal distribution, followed by a multiple analysis of variance or the non-parametric version to test the dimensions regarding differences in the demographic aspects. Subsequently, the individual factors will be examined in more detail with a pairwise comparison under consideration of possible outliers. The resulting outcomes will then be interpreted based on the literature knowledge.