David J. Weiss – författare

Analysis of variance is the backbone of experimental research. This book is a clear and straightforward guide to how to do the analyses, with an emphasis on how to interpret statistical results and translate them into prose that will clearly tell the audience what the data are saying. There are plenty of end-of-chapter practice problems, all with suggested answers. Life in the laboratory doesn't always follow the script, so both new and established techniques are presented for coping with non-standard situations. Because data analysis is not a closed subject, pros and cons are presented for various options. The final chapter is the first elementary presentation of functional measurement, a methodology built upon analysis of variance. Initially developed by Norman H Anderson, functional measurement (also known as information integration theory) offers a powerful technology for studying cognitive processes. The accompanying CD contains analysis of variance software that is easy to use (really!), with an interface that greets the user with appropriate requests. In addition to programs for standard analyses, the software includes several specialized routines that have heretofore been presented only in journals. This guide will be an important resource for students and professionals in the social, behavioural and neurosciences.

Ward Edwards is well known as the father of behavioral decision making. In his 1954 Psychological Bulletin paper on decision making, he brought psychological ideas into what had been the province of economists. His influence in this realm is so pervasive that the Nobel committee was able to trace a direct path from Edwards's work to Daniel Kahneman's 2002 Prize for prospect theory. In a 1963 Psychological Review paper, Edwards brought Bayesian statistics to the attention of psychologists, who have continued to proliferate Bayesian ideas, underscoring the importance of the perspective. In a 1962 IEEE paper, Edwards foresaw how the world of intelligence gathering and analysis could by transformed by systems in which humans provided (subjective) probabilities and machines provided computational power. He also showed, in a 1986 book written with Detlof von Winterfeldt, how multiattribute utility analysis could help real-world decision makers generate satisfactory solutions to complex problems. In this book, 29 of Ward Edwards's most important published papers are reprinted, a selection that spans six decades, allowing the reader to see how this strikingly creative thinker generated many of the ideas that are now core beliefs among current researchers. It is perhaps less well known that Edwards continued to make substantial contributions during the years after his retirement. Illness reduced his public appearances, but he continued his incisive thinking behind the scenes. At the time of his passing, he was involved in several projects, and seven new papers from these projects were completed for this book by his last set of collaborators. Edwards's papers are a treat to read. His prose is the model of elegant simplicity, yet full of style and wit. With each paper, the editors have included a short introduction that presents Edwards's reflections on the content or impact of the older papers, or describes the creation of the new ones. Obituaries written by former students and colleagues flesh out the human side of this remarkable scholar.

Noted for addressing both the "hows" and "whys" of item response theory (IRT), this text has been revised and updated with the latest techniques (multilevel models, mixed models, and more) and software packages. Simple to more complex models are covered in consistently formatted chapters that build sequentially. The book takes the reader from model development through the fit analysis and interpretation phases that would be performed in practice. To facilitate understanding, common data sets are used across chapters, with the examples worked through for increasingly complex models. Exemplary model applications include free (BIGSTEPS, NOHARM, Facets, R packages) and commercial (BILOG-MG, flexMIRT, SAS, WINMIRA, SPSS, SYSTAT) software packages. The companion website provides data files and online-only appendices.New to This Edition*Chapter on multilevel models.*New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics.*Many additional worked-through examples.*Updated guidance on software; now includes R, SAS, and flexMIRT.