What is Reddit's opinion of Discovering Statistics Using IBM SPSS Statistics: North American Edition?

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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!

When it comes to stats resources, there's often a tradeoff between being technically accurate, being accessible to beginners, focusing on hands-on skills (as opposed to theory), and being free. Also, stats sources can differ depending on what your specific focus is. So, I'll list out of bunch of sources here:

Books. There's a number of good books on introductory statistics. If you can deal with his slightly rude sense of humor, Andy Field has a few good books on stats that focus on either SPSS or R (both are common and *relatively* easy to learn). When it comes to choosing the right statistical program, this will depend a bit on your goals. SPSS is accessible, but expensive and limited (i.e. the learning curve is very gentle, but it has an expensive annual license and it can be difficult to implement something that IBM didn't make a GUI for). R, on the other hand, is less accessible, but free and versatile (i.e. it takes time to learn how to work with R, but you can accomplish quite a bit with it). Also, if you're interested in a career that involves a fair amount of stats/research, you may want to learn some machine learning as this is becoming a pretty dominant paradigm (or perhaps we'll decide it's a fad, I have no idea). But, if you want to get a jump start on that, this book provides a good practical introduction, and this book provides the technical detail.

YouTube. There's a couple of YouTube channels that make stats videos of general interest. A few that come to mind are Khan Academy and Statquest. There are a ton of other YouTube channels which focus on topic and methods of interest to the channel owner. For example, I just watch some videos on this channel which focus on common analyses in economic research. There are certainly some statistical methods that you'll see in almost any medical specialty (e.g. chi-squared, logistic regression). However, some areas of research tend to use other specific methodologies simply because of the types of questions they tend to ask. For example, cancer research will often use survival analyses (e.g. Cox regression), health administration/policy research may use various econometric methods (e.g. regression discontinuity, instrumental variables), epidemiology will use advanced survey methods (e.g. multistage, stratified, weighted surveys), etc. So a good starting point will be to read papers in the fields that interest you and see which statistical methods keep popping up.

Blogs/Forums/Other. There are a number of good blogs and forums which focus on some aspect of data analysis:

Cochrane. This is probably the most important resource for meta-analysis/reviews.

Cross-Validated. This tends to be a bit heavy on the technical detail - and every meme you've seen related to programmer humor on Reddit applies here - but you still may find some gold nuggets.

R-Bloggers. This focuses on implementing projects in R.

TowardsDataScience. This provides simple overviews (admittedly too simple, sometimes) of data science concepts.

Data Colada. This focuses more on the social sciences, but the principles of good data analysis don't really change.

Andrew Gelman's blog. This is a bit more technical and focuses more on political science and economics, but again, good data analysis is good data analysis. Also, Andrew Gelman's recent book is freely available here.

Statistical Tools for High-Throughput Data Analysis. This focuses on tutorials in R.

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.