Statistical Methods for the Social Sciences (3rd Edition) Review

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Statistical Methods for the Social Sciences (3rd Edition) ReviewYour typical undergraduate student who is not a fan of mathematics education will find this book intimidating. But that's not really saying much.
A student who's not math-phobic will enjoy it. It's not one of those statistics texts that tries to give just the concepts and not the underlying math. This one goes for the math -- which is the foundation of the concepts. (Conceptual explanations in plain English are here too! The book is not pure math. Anyway, statistics is equal parts numbers and reasoning.)
The illustrations and diagrams are generally excellent. Each chapter ends with a large selection of questions and exercises (answers to some of these are provided at the back of the book) and a bibliography for further reading. Yes, really useful further reading -- not just academic texts, but popular science magazine articles, biographies of mathematicians, etc.
Notation and terms are boxed off within the text, to be clearly noticeable upon review of the chapter. Helpful for studying.
Sample computer output is given frequently, which is a nice bonus. Sometimes the output of popular statistics software can seem cryptic to the uninitiated. This initiates people. An appendix covers SAS and SPSS usage for each topic in the textbook.
Of course it's up to the reader (or instructor) to choose how much material to cover; you could easily just ignore the last few chapters if you don't need the advanced material. But it's here, which makes this a nice book. (You might want the advanced material SOMEday...)
There are 17 chapters running from "Sampling and Measurement", "Descriptive Statistics" and "Probability Distributions" through regression and correlation, *multiple* regression and correlation, ANOVA, and on to ANCOVA, "Model Building with Multpile Regression", "Logistic Regression", and then a single chapter at the end which briefly talks about the existence of factor analysis, structural equations, and other "Advanced Topics".
It's a well written and quite in-depth textbook. A good choice for learning about statistics; a good choice for keeping on your bookshelf.Statistical Methods for the Social Sciences (3rd Edition) Overview Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

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