First post here; first I would like to say that I have no background in stats whatsoever and not so much in math either (enriched high school math, and that's it).
I started an MA and we have to do a meta-analysis; we've also been reading a lot of publications with effect sizes.
I checked Wikipedia's page for effect sizes; some parts are helpful, and for others I feel the gap when I'm reading, and it almost looks like gibberish. I've found some lectures on YouTube which I think will be useful. I was wondering if some of you would have suggestions for a good point to start learning about this process?
EDIT: I think I need to make my question more precise as I read the comments and when I skim the answers in the other questions, it still seems too high level sometimes. The effects sizes books seemed like it could help though, thanks for that!
I do understand mostly what a meta-analysis is (I think!) but it's how people go from the data to the numbers in their effect sizes that I am wondering about. Like how do effect sizes, chi-square work etc. When I read the definitions on these formulas, realize I would also need a course on distribution, regression, multivariate as I have no idea what these mean and it doesn't ring much of a bell. What I think helped the most with the chi-square is when I read something about comparing product reviews on Amazon where one product had 5-stars but one review and another product had 4.5 stars but 350 reviews.
If there are resources with worked cases for the type of formulas used in a meta-analysis, to understand what they're for and how they're used and with realistic examples so I can refer to something I know, I think that would greatly help. In fact, I need beginner resources in stats generally so I can build on that.