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What I'm trying to say is that it behooves you to also use other sources of data to construct your model. For example, conducting case studies on students with a variety of backgrounds (note: gaming background is also hugely important) who you sit down in front of a copy of the game they are not paying for could be a useful thing to do. In these case studies, you may also want to test students with modded versions of the game where you have made changes specifically to make the game more or less enjoyable, and you'll be testing whether this is actually the case + whether what the students are saying about what makes the game more or less enjoyable lines up with your ideas.
All of your points are highly valid and important for consideration. However, the methodology has been accounted for, and issues such as these will be dealt with on that basis. Due to the relative newness of the topic of player enjoyment in environmental games, what is most important in the initial structure of the model is to find hypothetical ground to stand on, which I believe can indeed be found on sites such as this.
You are perfectly correct also in saying that other data are needed for validation. This, too, will be the source of future projects I am considering for my PhD course. Additionally, most academic journals today allow for the author to include a section of their article dedicated to project limitations, and I will be sure to include some of the issues you bring up here.
Thank you very much for your feedback and interest! :)
Kind regards,
K.S.F.