Statistical Methods for the Social Sciences (4th Edition)

I'll be honest. This is a good textbook and arrived quickly and in great condition---just as was advertsied.But so far, my professor hasn't required us to actually do any work or reading from it. Yes, I know I should do that stuff on my own, but still...So I can't comment on the material inside, but as far as physical quality and delivery rate goes it is excellent. I would've rated it 5-stars, but again, I haven't read the material inside as of yet.

As a doctoral student with an interest in quantitative research and evaluation methodologies, I am currently using this book for a course in regression analyses. It is a fairly easy read for those who are familiar with statistics and I would recommend it to those wanting to learn more about quantitative analyses. The examples are up-to-date compared to previous editions. There appear to be no substatial content differences between this edition and the previous editions (in my experience having read both).

Well... the text is pretty straightforward. It markets itself particularly to the social sciences, but in reality it is nothing more than an introductory statistics text. Nonetheless, it is very clearly written and covers most of the basics you need to do any kind of research (multiple regressions, ANOVA, basic t,z, and F-tests, etc.). This is by no means a theoretical textbook: if you want to learn about distribution theory and the proofs behind the tests look elsewhere. If you want a quick introduction and reference to the different methods and tests with all the assumptions and potential pitfalls then this text is perfect.

the description is OK, but unfortunately they annoyingly have the chapter sub-subsections and examples all in one line, and their way of numbering sections and examples makes it much harder to quickly visibly scan through and find the specific example the professor is discussing in class (i.e. for chapter 5, you have subsection 5.1 which may contain examples 5.1, 5.2, and 5.3, then subsection 5.2 would have examples 5.4 and 5.5 etc, instead of more logically numbering them as subsection 5.1 example 5.1a, 5.1b, 5.1c, etc). This meant I was scrambling many times to get to the section the professor was actually discussing after accidentally winding up in the example instead of subsection (on those small classroom desks that are already too small for just my laptop, this was extremely annoying). The formatting is also problematic for me as a dyslexic in several ways. The information presented (once you get to it) is reasonably well-written but not so outstandingly better done than other textbooks that were formatted more logically to raise the rating (I would give this textbook a 2 star for the formatting issues alone, the quality of the actual instruction earned it an additional star from me).

The book arrives fast, which is good. But I feel like it's not as it was described by the seller. I understand it's a used book (seller describe it as "good") and I've ordered used book labeled as "good" before, but this one is not like a "good" standard: it already have red and yellow highlights almost all over the contents. I really do not like that.Anyway, as a textbook for Statistics for social science, it would be a great choice. Only one small weakness, though. For the exercises, this book only give out answers for the odd-numbered exercises and I cannot find the answers for the even ones any where...Hope the publisher can do something about it!!

very cheap, and even though this book was used it was brand new. Who ever previously owned it took good care of it

This book was required in a graduate level statistics course. I found its organization to be convoluted - the author makes multiple points that "will be addressed later" in the book, which is frustrating. It is not easy to find information on the pages that are indexed in the back, and sometimes the homework problems don't appear to match anything covered in the chapters. The writing is dense and hard to follow. I loved my statistics courses at the undergrad level, but this book seems to be geared toward quant majors, and is not easily accessible by the rest of us.

Good alternative to the hardcover book that is much more expensive. Just a note-- this edition does not include the answers to odd problems.

This book is poorly written, redundant and repetitive to the point of inaccessibility, and poorly made (the paper is very thin and any marking with pen will bleed).

The book took some time to arrive. Otherwise I'm very pleesed with teh deal :)