

Thank you for your comment. The use of similar statements is a common practice in this type of research, as it helps to better capture different aspects of a construct and ensures reliability. I understand that privacy may not be your personal motivation for self-hosting, and that’s perfectly fine. The purpose of this survey is to explore a variety of factors that can influence why individuals choose to self-host, and to determine the relative importance of each. Even if certain factors don’t apply to you, your responses contribute to a broader understanding of the motivations behind self-hosting. Thank you again for taking the time to complete the survey.


Thank you so much, really appreciate it!


Thank you very much – I really appreciate your participation! Yes, the results will be published as part of my PhD dissertation, and also in one of the peer-reviewed journals in the field of Computer Science. Once everything is finalized and publicly available, I’ll definitely share a summary and a link to the publication here as well. Thanks again for your interest and support!


Thank you for completing the survey! Glad it helped you discover new self-hosted software to try! :)


Thanks so much – really appreciate it! :)


Thank you for your feedback and for completing the survey. The first part of the survey primarily focuses on Software as a Service (SaaS). We appreciate your input and will consider ways to clarify this in future surveys.


Thanks a lot, really appreciate it!


Thank you for completing the survey and for your thoughtful feedback. The similarity between some questions is intentional and follows common scientific practice when measuring complex or abstract concepts. Using multiple, slightly varied items that target the same construct increases the reliability and validity of the data by capturing subtle nuances and reducing the influence of random response variation. While your suggestion to show only a subset of such items through adaptive platforms is valid and worth exploring, fixed item sets are generally preferred in research settings to ensure consistent and robust measurement. We appreciate your input and will consider it in future survey design improvements.


Thank you for participating in the survey and for providing your feedback.
We are aware that some of the statements may appear similar or closely related. This is an intentional aspect of the survey design, aimed at capturing different dimensions of the same underlying construct or thematic area. In scientific research, it is a well-established and widely used practice to include multiple, conceptually related items when measuring a specific concept.


Thanks a lot, really appreciate it! :)


Thank you so much, really appreciate it! :)


Thank you for your feedback!
We understand that the question about education levels may have been confusing, especially when trying to map the German school system to the categories provided.
The answer options in our survey are based on ISCED 2011 – the International Standard Classification of Education, developed by UNESCO. This is a globally recognized framework used to ensure that education levels can be compared across countries, despite differences in national education systems.
To help clarify, here is how the German terms you mentioned generally correspond to ISCED categories:


Thanks a lot for your input and kind wishes, really appreciate it!


Thanks for the comment: that’s a really good point to raise.
Just to clarify: the statement “I use self-hosted services in the following categories as much as possible” is meant to reflect how fully you make use of self-hosted solutions in each area. A response like “Strongly agree” would indicate that you actively use and take full advantage of self-hosting in that category.
If you don’t use solutions in a particular category at all — whether that’s because you don’t need them, aren’t interested, or use only external services — then it’s completely appropriate to select a disagreeing option (e.g. “Disagree” or “Strongly disagree”). In this context, lower agreement simply indicates low or no use, regardless of the reason.
From a methodological standpoint, the data will be analyzed using structural equation modeling (SEM). This approach requires a complete set of responses across the measured constructs. If we included a “not applicable” option, it would create missing values in the dataset and potentially lead to excluding the entire response for that part of the analysis — which would significantly reduce the usable sample size.
That said, I really appreciate your feedback! :)


Thanks so much – really appreciate it! :)


Thanks for the comment — that’s a valid observation, and I understand how the wording might feel a bit awkward.
Just to clarify: the statement comes from a standardized construct called Subjective Norms, and follows the phrasing from the paper “A Theoretical Extension of the Technology Acceptance Model” by Venkatesh & Davis (2000).
For all independent variables in the survey, we relied on validated scales and established practices from prior scientific research, to ensure consistency and reliability. That said, I really appreciate your feedback. :)


Thank you so much – I really appreciate it!
Thanks, much appreciated!