'Offers a wealth of information, guidance and learning experiences and is certainly one of the most user-friendly statistical learning packages I have seen. Packed full of examples and try-it-out exercises, it is not only the book itself that is interactive but the datasets supplied on the CD-ROM in Excel and SPSS formats mean you can take advantage of direct hands on learning' - Social Research Association News In this thoroughly updated edition of Statistics for Research, the author explains statistical concepts in a highly readable and accessible way without assuming a formal knowledge of statistics. Using practical examples from a variety of disciplines and concentrating on the clear explanation of a wide range of statistical techniques, this book is an easy-to-read and comprehensive introduction and guide to SPSS.Perfect for students and researchers new to statistics, this book provides: - Clear explanations of all the main techniques of statistical analysis provided in layman's terms - Step-by-step screen images of SPSS commands and output to provide the reader with a comprehensive manual for using SPSS to analyze data - Exercises at the end of each chapter designed to reinforce understanding and develop SPSS skills - Model answers, an explanation to key equations and an extensive glossary of terms - A companion CD ROM containing data sets for use in conjunction with the book - A companion website (follow the link above) including comprehensive material and detailed SPSS procedures for students and researchers; and PowerPoint slides, Flash presentations and a database of over 500 WebCT quiz questions for use by instructors in lectures and tutorials An ideal textbook for any course in statistical methods across the social sciences and health sciences and is the perfect starter book for students, researchers and professionals alike.
Table of Contents
PART ONE: AN INTRODUCTION TO STATISTICAL ANALYSIS Variables and Their Measurement Setting Up and SPSS Data File PART TWO: DESCRIPTIVE STATISTICS: GRAPHS AND TABLES The Graphical Description of Data The Tabular Description of Data Using Tables To Investigate the Relationship between Variables Crosstabulations Measures of Association for Crosstabulations Nominal Data Measures of Association for Crosstabulations Ranked Data Multivariate Analysis of Crosstabulations Elaboration PART THREE: DESCRIPTIVE STATISTICS: NUMERICAL MEASURES Measures of Central Tendency Measures of Dispersion The Normal Curve Correlation and Regression Multiple Regression PART FOUR: INFERENTIAL STATISTICS: TESTS FOR A MEAN Sampling Distributions Introduction to Hypothesis Testing and the One Sample z-test for a Mean The One Sample t-test for a Mean Inference Using Estimation and Confidence Intervals The Two Samples t-test for the Equality of Means The F-test for the Equality of More Than Two Means Analysis of Variance The Two Dependent Samples t-test for the Mean Difference PART FIVE: INFERENTIAL STATISTICS: TESTS FOR FREQUENCY DISTRIBUTIONS One Sample Tests for a Binomial Distribution One Sample Tests for a Multinomial Distribution The Chi-square Test for Independence Frequency Tests for Two Dependent Samples PART SIX: INFERENTIAL STATISTICS: OTHER TESTS OF SIGNIFICANCE Rank-order Tests for Two or More Samples The t-test for a Correlation Coefficient