Statistics for the Behavioural Sciences: An Introduction

• Publisher:   Psychology Press
• Number Of Pages:   256
• Publication Date:   2003-08-05
• ISBN-10 / ASIN:   1841693197
• ISBN-13 / EAN:   9781841693194

Statistics for the Behavioural Sciences: An Introduction begins with an introduction to the basic concepts, before providing a detailed explanation of basic statistical tests and concepts such as descriptive statistics, probability, the binomial distribution, continuous random variables, the normal distribution, the Chi-Square distribution, the analysis of categorical data, t-tests, correlation and regression.
This timely and highly readable text will be invaluable to undergraduate students of psychology, and students of research methods courses in related disciplines, as well as anyone with an interest in the basic concepts and tests associated with statistics in the behavioural sciences.

I respectfully disagree with the previous reviewer and think that this relatively short book is very good. The author takes pains to explain each and every concept in detail. Every formula is carefully explained and discussed. It was refreshing for me to see that Statistics not being treated merely as a cookbook of formulas. The last chapter on power and sample size is also a most welcome addition. The level of the book is just above introductory. Many will find it a real gem!

If you are looking for a well-written and well-explained introduction to statistics for the humanities, or are wishing to brush up on old knowledge (as I was), this book is not a good choice. This is a poorly executed mish-mash of various statistical concepts that will probably lead to confusion. For example, hypothetical problems are presented in paragraph form as part of the regular text, rather than as easier to execute problem sets; while formulas are piled on sequentially with little description of the mathematical functions that bring each formula about. There is inconsistent use of symbols, such as *mu* for an average or mean, engendering confusion between European and international standards. The book abounds with garbled and under-explained text such as "This process can be generalized to the distribution of any sum of k random variables, each with the chi-square distribution." The experiments used to illustrate statistical methods are generally poor in design, and the organization of the book from one method to the next is mostly arbitrary and confusing. Not recommended. [~doomsdayre520~]

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