All right so it seems like a one-way repeated measures ANOVA might be exactly what you're looking for.
I highly recommend this book.
There's an entire chapter dedicated to the ANOVA test using a repeated measures design and it's detailed implementation in SPSS.
This book is geared towards people with no prior background in statistics and provides great intuition about the usage of the different tests. There's also a section that walks you through the interpretation of your results.
Hope that helps and good luck with your project!
>There's 3 variables usually required for one to make causal statements. In rare cases (as in the smoking/lung cancer debate) there's such overwhelming observational data that sometimes you don't need all three.
Harvard Sociologist Robert Sampson has written about the Moving to Opportunity experiments and why RCTs don't solve the problem of causal inference.
>I'm a researcher working in a criminal justice think thank and I've never seen either of those pieces you posted. Just as an aside, any academic can write their opinion on what constitutes good causal analysis, doesn't make it correct.
James J. Heckman is an Nobel Prize winning American economist. Christopher Winship is a professor at Harvard and Stephen L. Morgan is a professor at Johns Hopkins, both have written extensively on casual inferences and counterfactuals, most notably in this book. Angus Deaton is a world-renowned economist at Princeton.
IMO, to imply these people are like "any academic who can write their opinion on what constitutes good causal analysis, doesn't make it correct" is being a bit naive.
>Experimental methods are the gold standard for testing causal statements and always have been.
Just because something has been done for awhile doesn't make it correct, or does it occupy any special place in some hierarchy of evidence. Again, I suggest you read the Angus Deaton piece I linked because it explains why.
Sorry. That sounds horrible.
You're young and sounds like you need to learn to advocate for yourself and your needs.
Read and take your time.
Get a copy of the New Bottoming book. Talk to people about what good negotiation looks like.
Saying 'no' is a life skill. You need to know that if someone reacts negatively to a no that's not a reflection on you but an insight into that person's respect of boundaries.
There are also loads of books out there on saying no and setting healthy boundaries... quick search found this one as a start https://www.amazon.co.uk/Art-Saying-NO-Reclaim-Granted-ebook/dp/B074LZG7KS
Maybe worth having a look and investing in yourself first before looking to get into anything else.
Be wary if anyone slips into your DMs btw... because of your age and open vulnerability you may get some people trying to prey on you (offering personal advice and mentorship is a big flag). Let TeaAitch know if that happens please.
I really enjoyed Discovering Statistics Using... by Andy Field. I started back in the day with SPSS but have since moved onto R, for which Andy has a volume. It's easy to understand for novices and gives you the fundamentals.
In addition to what another commenter mentioned about Braun & Clarke, Cresswell is also very good.
Step 1: Deep breath.
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Step 2: see if you can find this book at your school's library - it breaks down grounded theory in a way that makes it easy to digest and understand: https://www.amazon.com/Qualitative-Inquiry-Research-Design-Approaches/dp/1506330207
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Step 3: Talk to your advisor about your confusion - explain how you've looked into what grounded theory is and you're unsure of how to use it with the data you've already collected. Can they talk you through some basics, or recommend another faculty member who can?
If you want to study the underlying math and stats for Linear Regression and Generalized Linear Models, you can try Applied Regression Analysis and Generalized Linear Models by John Fox. It starts with some basic stuff of data analysis, but it gets in-depth regarding LR and GLMs.
or the dozens of popular books like this
https://www.amazon.com/White-Logic-Methods-Racism-Methodology/dp/0742542815
You really have to live under a rock to not have seen the multiple guests on the Daily Show discussing their books how statistics are racist and actively used against the black community. Have you also not heard that Standardized testing (like the ACT or SAT) is racist too? Dont be willfully ignorant, it is a hotly debated topic and actually has some merit for racism in cases. (The Bell Curve)
>Of course, poverty helps with ignorance.
Too true. But poverty itself isn't the cause of ignorance, or at least doesn't require permanent, intergenerational ignorance, and religion does. Take a look at <em>The Beautiful Tree</em>. I don't agree with all of the books conclusions, but poor people striving to educate themselves and their children has to strike fear in every theist.
James Tooley has written extensively about his research on the educational systems in the poorest communities in the world. http://www.amazon.com/Beautiful-Tree-Personal-Educating-Themselves/dp/1933995920/ref=tmm_hrd_title_0
Yes, corporations (i.e. businesses that employ people) are functions of a market. The fact that they can bribe and coerce politicians into doing things isn't. A constitutionally limited government would, in theory, not have this problem because the politician's hands would be so tied down that there wouldn't be any return on lobbying efforts.
I completely agree with you that a legislative system in and of itself isn't the problem ... but show me a non-corrupt / non-manipulated government. It doesn't exist. I understand that a public education system is the status quo and that accepting or imagining a world without one seems absurd. I'm just asking you to consider that there might be alternatives that would better serve everyone in our country from the richest to the poorest.