Yup, that is the one. The 9 edition I inked below. Should be mostly the same stuff but even cheaper.
So most of this is not really numerical at first and this book is pretty light on the math. That said this is like a really basic introduction (well, relatively) to the area. Been a while since I read it, but this is an introduction to the area of ed measurement so it does not really present the statistics in much detail. You go over basic stuff and the basic statistics so this book will cover the statistics with no assumptions of prior knowledge. But the limitation is this book does not really touch on more advanced stuff. But without this base knowledge, the more complex stuff will not make much sense and I suspect the answers you want are not statistics issues at all but measurement ones. In particular dealing with the validity of the tests. Validity is a concept that is talked about in statistics, but not actually a statistical concept but a measurement concept.
Best to show you this is says we have a test, the Patient Health Questionnaire, for instance. I can tell you that 9 of the items form a subscale to measure depression, scored 0 to 3 that when summed produces the measurement score. Then this score is binned into five severity groups with a range of 5 in the bins until the highest, with the bins representing no depression to severe depression. I could throw out sensitivity and specificity scores (presented in that book) to say this is a valid test, tell you it is a reliable test with a Cronbach's alpha (also in book) of 0.89. I can also tell you that the mean and SD (also in book if not familar with SD) is M 17.1 (SD, 6.1) for depressed people and M 3.3 (SD, 3.8) for those without depression. But none of these statistics per se can answer the question alone of is this test valid. The statistics lend support, but what you need to first know is what is this test measuring, and how. What standards are we comparing these scores to, what does a mean depression score of 3 even mean? And for that, you need to learn about test making and what not.
So that is what this book does. Goes over what that last paragraph kind of meant, and will help you learn what exactly you are looking for and how to look for it and a foundation to better understand high stakes testing in. What you will find is the tests are very good at accomplishing the goal they were created for, but what they are used for goes beyond what they are valid to measure directly.