Development of a generic concept to process questionnaire result data in different statistical applications

Up to this day, data collection in domains like medicine, psychology or education is mostly carried out manually through questionnaires. These questionnaires are often associated with a lot of effort, because each participant needs a physical copy of the questionnaire. Furthermore, the results of the survey need to be evaluated manually or have to be transferred to a statistical application by hand. This is not only time consuming, but also an opportunity for potential errors. The QuestionsSys project tries to solve these issues by providing a flexible framework, that can be used to create and configure questionnaires, to deploy them on smart mobile devices and to store collected data.

In order to analyze this digitally collected data, it needs to be imported into a statistical tool where it can be analyzed further. The task of importing data requires a high amount of programming knowledge, which makes it rather difficult and time consuming for someone not familiar with programming. To compensate this, this thesis introduces a generic concept to import questionnaire result data into statistical tools. Furthermore, the QuestionSys project will be expanded with concrete implementations for the statistical programming language R as well as for Microsoft Office Excel.