Sanford L. Braver – författare

Over the course of the last four decades, Robert Cialdini's work has helped spark an intellectual revolution in which social psychological ideas have become increasingly influential. The concepts presented in his book, Influence: The Psychology of Persuasion, have spread well beyond the geographic boundaries of North America and beyond the field of academic social psychology into the areas of business, health, and politics. In this book, leading authors, who represent many different countries and disciplines, explore new developments and the widespread impact of Cialdini's work in research areas ranging from persuasion strategy and social engineering to help-seeking and decision-making. Among the many topics covered, the authors discuss how people underestimate the influence of others, how a former computer hacker used social engineering to gain access to highly confidential computer codes, and how biology and evolution figure into the principles of influence. The authors break new ground in the study of influence.

A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design).Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout. The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by downloadable resources with all of the book's data sets, as well as exercises for each chapter.This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.