<p>I am the person that made the post! I did use the &quot;How can I compare the results of two Likert scale surveys?&quot; post as a template as I noticed that the question the person asked was quite similar to the issue I am having troubles right now. I admit, I copy and pasted the template but just edited some of the things that were different. For that, I apologise for not crediting the original poster. I was reading the comments on the original post, but I saw that that there was only two comments on it, so I wanted to repost this question (in the form of my project) in hopes to get more people's thoughts!</p>
<p>To clarify, I am a final year undergraduate student studying Bachelor of Pharmacy. I am currently doing a Final Year Project (FYP) where I am researching on the difference between two distinct academic Electronic Health Record platforms to assess students' perceptions on what features or potential factors make an optimal academic Electronic Health Record. The final outcome of the FYP is to determine what things can be modified or fine-tuned in academic Electronic Health Record systems to better prepare pharmacy students for clinical practice in the future (i.e. in the hospital).</p>
<p>Specifically, I designed two questionnaires (one for Year 4 students using Platform A, and the other for Year 3 students using Platform B) in the form of Likert scales. Both questionnaires are identical with a set of 20 statements in total. I have collected all the data, and also calculated the weighted mean for each individual question. However, I am unsure how I can further go about in analysing between the two surveys... Even after doing a bit of research, most videos just explain how to analyse ONE set of likert scale, rather than comparing between two sets of data.</p>
<p>For now, I am planning to just directly compare the mean results of each statement for my discussion section, but I want to know if there's a more efficient way / more fruitful way to discuss the data (I feel like just comparing between the mean between the two data sets may not be that meaningful...).</p>
<p>If any of you are able to share some insight on what I can do, please let me know! Sorry again for any troubles caused and thank you for reading up til here!</p>
