Statistics: A Tool for Social Research FROM THE PUBLISHER
A comprehensive, student-oriented text that provides students a challenging first look at social statistics by illustrating the application of statistics to contemporary social issues. Students learn to read and interpret statistics in a variety of settings. Each chapter is complete with numerous practice exercises, problems, and demonstrations and applications of the latest SPSS and in this edition - MicroCase- statistical software packages to reinforce chapter concepts, operations, and formulas.The book's primary emphasis is on developing the following skills necessary for students to become "statistically literate": computational competence; appreciation of statistics; and the ability to read professional social science literature.
SYNOPSIS
Intended for sociology and social work students, this textbook introduces statistical analysis, the role of statistics in the research process, and the interpretation of statistical findings. Healey (Christopher Newport University) explains the basic concepts and methods of descriptive statistics, inferential statistics, and measures of association. The seventh edition moves flow charts from the web site back into the text and adds an example sampling distribution and an explanation of the correlation matrix. Annotation ©2004 Book News, Inc., Portland, OR
FROM THE CRITICS
Booknews
This text offers a nontechnical introduction to statistics for students of sociology, social work, criminal justice, political science, and other social sciences. Material is written at a level intermediate between a strictly mathematical approach and a "cookbook" approach, with an emphasis on interpretation and computer applications. Learning features include practice exercises and problems, applications of SPSS and MicroCase statistical software packages (new to this edition), and step-by-step computational algorithms provided for each statistic. Boxed readings offer examples that connect statistical analysis to research problems. For this edition, challenging problems with larger data sets have been moved to a Web site. The author teaches at Christopher Newport University. Annotation c. Book News, Inc., Portland, OR (booknews.com)