A high level of standardization in quantitative research also involves the risk of allowing errors and mistakes to enter easily into common practice. It is thus imperative that we apply strict quality criteria in our research as well as when analyzing quantitative data. That is why we always scrutinize standardized tools and processes and continue to put the theoretical concepts used to create them, such as quality/validity, reliability, objectivity, to the test.


Nor do we limit ourselves to providing merely descriptive or statistical statements in our analyses. Instead, we make use of a range of various different methods to make even highly complex results understandable.