"The book has been carefully structured so that concepts build on each other. There is a useful and clear introduction to the basis of the scientific method. Key concepts are introduced before any actual mathematical computations which gives the reader a sense of security. The 'jargon' is clearly defined and contextualised. . . . This book ensures firstly that the process is understood and secondly the role of the computer integrated into analysis by using examples of computer printouts for students to work with. . . . I found it to be very valuable and would certainly recommend it to my students-and use it as a reference text myself." --Christine Heward in Evaluation and Research in Education "As suggested by the title, this introductory textbook in statistics is aimed at the social science student and covers what can be considered to be a standard range of statistical techniques. . . . Each chapter has a clear list of concepts covered, explanations of statistical tests and their application, with examples. Exercises for students are provided, with useful notes and answers in a book to assist teachers. The overall styles of writing is clear and readable. These exercises provide summarized data for interpretation, as well as the opportunity to practice calculations. . . . The textbook is concise and complete. . . . This particular book provides students and teachers with the opportunity to find out about techniques in more depth. . . . The notes that are provided for teachers, which also assist them in how to present concepts, deal with questions, and queries. These are very useful and appear to be based on experiences of teaching on the part of the author." --Kate Bloor in Sociological Research Online [USE DEMARIS FOR PROFESSIONAL MAILINGS] "The fact that the author integrates many of the concerns of a methods course into the book means that students will have a substantial dose of contextual material to provide 'relevance' for the technique being taught. . . . The chapters are quite thorough, and the discussion of such issues as reliability and validity, levels of measurement, inferential statistics, measures of association, correlation, and regression is authoritative. The author has taken great pains to explicate these and related topics in a commonsense, nonthreatening manner that is sure to appeal to introductory students." --Alfred DeMaris, Department of Sociology, Bowling Green State University [USE THYER QUOTE FOR PROFESSIONALS] "I like the logical order of topics and chapters presented in this book. There is a nice review of the different levels of measurement in Chapter 2. . . . Good presentation on regression and nice presentation on coefficient of determination/alienation in the Correlation-Regression Analysis chapter." --Bruce Thyer, Department of Social Work, University of Georgia "I would consider using this textbook as I feel it is one of the better presentations of statistics. . . . The material is clearly presented and uses many practical examples of the application of statistics." --Garth Lipps, former statistical consultant to the University of Saskatchewan Do your students lack confidence in their ability to handle quantitative work? This book builds students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more and focusing on how statistics can be utilized. Through an emphasis on the analysis and interpretation of data, R. Mark Sirkin gives the reader a feel for how the interpretation of data is related to the methods by which the data are obtained. Using a wide range of examples from various fields in the social sciences, Sirkin demonstrates the role of statistical analysis in the research process and in answering social science questions. Features unique to this volume . . .

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