Hi Tudorqueen, I think interpreting the statistical data should be the same across both ANOVA and mixed regression, it is just requires coding. The only thing I can recommend is write out the multiple levels and coding on pen and paper beforehand, so you understand everything before translating it to R. I hate programming stats so make sure I have a clear plan before writing anything on the computer. Goodluck!

I have done a fair bit of ANOVA and multi-variable statistics. I don't know if my experience is applicable to social sciences but I think you should be looking at lack of fit tests. With multi variable modelling over fitting the data is super easy and biases most regression values. So stuff like an F-test can tell you if your model is over fitted or use the predicted r^2. Also once you have a working model you can remove variables and see if it improves/deteriorates. I think ANOVA is less about interpreting the model but seeing how easily it breaks.

Unfortunately, I can't recommend any videos as I inherited some code from my supervisor and she was rather good at explaining the stats side. Are you just using R or another piece of software?

You can access it via sci.hub.tw

I thought, you could submit any paper that you are coauthor on to REF. So your coauthors could submit it without being the corresponding author. The journals system probably doesn't see that you are a PhD student.

I thought universities usually put the thesis's of Masters students by research online. Though I may be wrong. It is nice for it to be online but I doubt many people will read it.

Honestly, I don't think the 2:2 at undergrad is that bad if you have a first from your masters. Your masters is more relevant and should get you an interview. The interview is were a lot of PhD applications are decided and your CV/refernces only need to be good enough to get the interview. A few people have asked this question beforehand and usually they were asked about the 2:2. You will need a good answer to explain why you only got a 2:2 but your masters is vastly more relevant than your undergrad.

This might be crazy but if this issue keeps occurring you could start a blog. A blog might be enough to show that you can write small essays about relevant topics.

I agree with pm133, small companies are great for first jobs as they are a lot less competitive and it easy to stand out.

Also, I knew medical student during my undergrad who was in his early 40s after having a "mid life crisis". So you are not too old.

It is better than have too much funding than not enough. You can turn down funding and even if it looks bad you will still have funding instead of no funding at all.

The professional only leases might consider PhD students. I have been in "professional only" houses my entire PhD with no problem.

Very good question. Nobody knows the post-Brexit funding situation but if you get awarded a PhD the funding will probably not be taken away after Brexit. Most universities state the nationality requirements on the PhD application and if it says EU accepted you will be fine. If you want to apply after Brexit, we have no idea what is happening.

Talk with your supervisor as he/she will know best. Research plans are not that reliable and are usually either too small or too big. So don't worry that you did it one term. I would make sure that you have done it correctly and write the report for it now before you forget.

Thanks for the advice pm133. I was looking through my collated chapters and saw several duplicated figures and panicked if that was allowed.

Hi fufilledsuccess,

Sorry to be rude but could you make a survey? I am reluctant to publicly post these answers and a lot people on this forum are happy to do 5-10 minute surveys if it helps out other PhD students.