I'm a first year experimental psychology PhD student with a focus in cognitive neuroscience. So far grad school's been great but I'm having a really tough time with statistics.
My undergrad stats background was much more big picture and applied. My grad school class is all about the fine details of ANOVA and really 'getting in the trenches' with statistical concepts.
My prof's notes/lectures are pretty convoluted so I feel lost most of the time. The stats book we have is pretty dense so I haven't even tried reading much of it. I've talked with my professor and he didn't really help so I'm hoping to get some advice on study tips from people here
I'm a Literacy PhD student who had little stats background prior to beginning this degree. I don't know if this is helpful for you but there were three key items that really helped me:
1) Pre-read around what your prof will be talking about, this sets your brain up for success by lowering cognitive demands during class.
2) The Internet is your friend. I learned ANOVA from watching a nurse present it via YouTube. There's a ton out there including videos and worked examples on the Web.
3) Build a community of learners. If you stick around here you've got that, but I also had an email system with fellow classmates that we critiqued each other's problems and writings. his feedback was awesome.
I wish i had a pill but it's definitely work. You're at the PhD level and will be critiquing others' work. So you have to understand what you're critiquing very well.
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