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Okay.
1. The available answers for Question 2 overlap. "Soundcloud" and "Youtube" surely fall under "Computer", while "Radio / mixes / podcasts" could fall under any of the other answers. For example I listen to a lot of mixes, but I do so on my MP3 player, on my computer or on the stereo. You need to come up with a clear idea of what you're actually trying to learn. Is it medium (MP3, vinyl, CD, etc)? Is it format? (Album, single, compilation, podcast, etc)? Is it device? (MP3 player, laptop, home stereo, car stereo, etc)? All of these are mashed together in this question.
2. Both the available answer sets for Questions 3 and 4 need numerically specifying. What is the difference between "Extremely often" and "Very often?" Without giving a concrete option ("Every day", "Every week", etc) your data is going to be extremely unhelpful because every reader can have a different idea of what constitutes "Very often".
3. Your list of genres for Question 9 should really be expanded, although depending on what course you're studying your tutors might not have a clue about available genres. I would recommend taking some sort of standardised list, such as Beatport's genre list, so you can explain in your write-up that Beatport is an industry leading sales outlet that dictates these genre terms. Referencing an important market figure rather than just a semi-random list of genre names you could think of would be preferable if your aim is to "analyse worldwide trends in the market".
4. If you aim to analyse trends worldwide, why aren't you collecting information about nationality?
5. You should really standardise your answers. Why does Question 1 have one answer that spans only two years (18-20), when the rest span ten years? This is going to massively skew your data.
6. You should really reword your questions to begin "On average", because the amounts people spend per month and the frequency with which they attend events can vary based on the time of year and other external factors. Your questions should contain as little ambiguity as possible, because the more ambiguity, the more is left up to reader perception and the less reliable your data will be.
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Mixes:
> Maximum Elevation [Progressive House]
> DI.FM 26th Anniversary Guest Mix [Progressive House]
> Live @ Dance:Love:Hub London, 11.10.2025
> Higher Peaks [Progressive House]
> Dance:Love:Hub Afterparty (The Return) 23.11.24
Like these sets? Come see me play live at Kibosh in Manchester: https://www.instagram.com/kibosh.mcr/
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