Understanding Statistics

Daniel B. Wright is Professor of Educational Assessment, in the Department of Educational Psychology and Higher Education, University of Nevada, Las Vegas. His interests are in methodology and applied cognitive science.

• PART ONEStatistics in Social Science ResearchIntroduction to Hypothesis TestingPART TWOComparing the Means of Paired DataComparing the Means of Two GroupsPART THREEIntroducing Regression and CorrelationComparing Many MeansThe Analysis of Variance ApproachComparing ProportionsPART FOURAdvanced Techniques

`I found this book very well written and I enjoyed reading it. I particularly liked the use of humour, a welcome addition in an area which is all too often dry and humourless. The examples chosen to illustrate statistical techniques are appropriate, often entertaining and capture the reader′s interest. The author is obviously knowledgeable and I could find no major errors in the material presented.The book has a clear yet ambitious progression. It starts from basics such as what are means and modes, and spends some time dealing with basic concepts and notation; it ends up, however, by covering advanced topics such as loglinear modelling, multiple regression and structural equation modelling. In my opinion these topics are introduced in a gradual, gentle and accessible way.While there are many books which attempt to introduce statistics to social scientists, there are few that do it as well as this one. It deserves to become a popular student text′ - Stephen Newstead, University of Plymouth`Daniel B Wright has written not just a well-constructed and thorough university-level textbook which "touched all bases", but also a complete social and behavioural science research "handbook" that graduate students and confirmed researchers will often be referring back to before going to specialized works or research articles′ - Karl M van Meter, Founding Director of the Bulletin de Methodologie Sociologique and Member of the French CNRS (National Centre for Scientific Research)`I like this book. Wright′s "user-friendly" style provides a stimulating introduction to statistics that explains the basic concepts of statistics, while also giving a bit of the history of how several of these ideas emerged - I′ll never think of the "student′s t-test" in quite the same light again! The presentation is lively and thoughtful, with well-selected examples′ - Allan L McCutcheon, Donald O Clifton Distinguished Professor of Sociology and Director, Gallup Research Centre, University of Nebraska-Lincoln′There are few introductory books which would even attempt to explain such advanced techniques as Wright and yet he makes you wonder why this is the case - if he can explain it so clearly, why can′t everyone else? Wright′s writing style is laid back and his slight tangents into the characters and history behind the tests make for a very informative and enjoyable read (I′d previously thought that ′statistics textbook′ and ′enjoyable read′ were mutually exclusive terms!). Although primarily aimed at undergraduates the book has much to offer those of a substantially higher level and I recommend it to anyone who wishes to improve their understanding of statistics′ - British Psychological Society, Mathematics, Statistics and Computing Section Newsletter`With pleasure I can say that this book gives a good and well-organized introduction to statistics and really serves as a starting point to learning specific techniques.′ - Statistician`There are numerous introductory statistics texts, but few are as readable as Daniel Wright′s Understanding Statistics... This is an excellent introductory text suitable for students and researchers across the social sciences′ - British Journal of Sociology`This is an extremely good book. In one slim volume a truly staggering amount of material is covered, from the basics for undergraduate courses right through to advanced topics like MANOVA′ - British Journal of Mathematical and Statistical Psychology`[A] well written introduction to the statistics most often employed in the social sciences′ - The American Statistician