In this comprehensive introduction to using statistics in the social sciences, Daniel B Wright describes the most popular statistical techniques, explaining their basic principles and demonstrating their use in a wide range of social research.

The book is divided into four sections. Part One explains the theoretical relationship between statistics and research, outlining the place of statistics in the research process and introducing hypothesis testing. In Part Two the two "t"-tests are described in detail. This serves as a foundation for the rest of the book and develops skills that are...

Author Daniel B. Wright presents a comprehensive and unusually accessible introduction to using statistics in the social sciences. In a clear and engaging style, Understanding Statistics describes the most popular statistical techniques, explaining their basic principles and showing how to use them. Wright explains the theoretical relationship between statistics and research, outlining the place of statistics in the research process and introducing hypothesis testing. The author also describes the two t-tests in detail. This serves as a foundation for the rest of the book and develops skills...

In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books' webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter.

First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the psychological and social sciences. The rationale and procedure for analyzing data are presented through exciting examples, with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics. In addition to descriptive statistics, graphs, t tests, one way ANOVAs, Chi-square, and simple linear regression, this second edition includes factorial ANOVA and multiple regression. Emphasis is given to tests...

In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books' webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter.

Research on applied memory is one of the most active, interesting and vibrant areas in experimental psychology. This book describes cutting-edge research and applies it to key areas of contemporary investigation: education, the law and neuroscience.

The beginning of the 1990's saw a partisan debate about the nature of recovered memories for highly emotional events. Some authors claimed that recovered memories of trauma always referred to veridical memories that had been inaccessible for years. Others argued that such memories were false by definition and that they were created by therapeutic attempts to uncover trauma that was believed to lie at the root of anxiety or depression. Although the debate soon moved to a middle ground, both sides fuelled the development of relevant experimental paradigms to explore the mechanisms for how false...