Applied Multidimensional Scaling

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Colin Robson

"Given the positive nature of the review feedback, and following the basic 'if it ain't broke ...' principle, I propose to retain the same concept of a broadly-based text with an even-handed coverage of qualitative and quantitative approaches as in previous editions. There will be a continuing focus on what I have termed 'Real World Research' and an intention for it to serve as a resource for those planning to carry out a research project.I note that there were some critical comments on the design of the text, to which you will no doubt give due consideration. The index and glossary will of course be revisited.I aim to provide a greater amount of illustrative case study material, extensively updated examples from current research to illustrate recent developments, and updated annotated further reading sections in each chapter. I will be extending the coverage of:ʺ Ethics (perhaps the adopter who provided detailed suggestions in this area could be thanked and assured that the comments will be taken on board)ʺ On-line and internet researchʺ Evidence-based approaches, including systematic reviews and meta analysis (a not uncritical discussion of this currently 'hot' topic).I will also consider the other suggestions made by adopters (some of which are, as ever, mutually contradictory). I think it unlikely that I will include student exercises as I don't really see them as appropriate for the type of book that this is. I am also dubious about including more philosophical material (including epistemology and ontology) as it can easily alienate many students. However I will have a go at this and see what I can do. There is now a substantial literature on the realist approach in practice, some of which I will cover.I will also carry out a thorough re-evaluation of the multiplicity of qualitative and quantitative approaches to see which merit inclusion. Similarly with the analysis chapters - particularly the quantitative stuff.I do not propose to make firm decisions on SPSS or NVivo at this stage. Clearly any treatment would have to be in terms of the versions current near to publication. Versions are rapidly superseded and students get twitchy if the text they are using has an older version than the one on their computer. The alternatives are in-text coverage, appendices, associated websites, or reference out. The situation is complicated for me by the fact that I am no fan of SPSS because, although very widely used, it is not ideal for the type of exploratory quantitative approach that I favour.On appendices, I will give favourable consideration to the suggestion that the material in the appendix on writing a project proposal comes within the text itself. I am very likely to retain the second appendix in its present position.I will also be giving further thought to what might go into an associated website. I am somewhat attracted to the inclusion of discipline- or area-specific examples (eg health-related, education, applied psychology, etc) on the website - rather as I have in 'How to do a Research Project'. This helps get over the problem of alienating students with text examples outside their own discipline, or of stuffing the text itself with a very large number of examples from different disciplines. As discussed earlier, I will also consider including material for lecturers such as PowerPoint slides"-- "This bestselling text on carrying out research in 'real world' situations has been thoroughly revised and updated but continues to have the same authoritative voice and definitive content that has made it such an essential book for teachers and students conducting research within the social sciences"--

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Scott E. Maxwell, Harold D. Delaney

CD-ROM contains: "SPSS and SAS data sets fpr ,amu pf tje text exercoses as we;; as titorials reviewing basic statistics and simple and multiple regression."

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John I. Marden

Analyzing and Modeling Rank Data is the first single-source volume to fully address this prevalent practice in both its analytical and modeling aspects. The information discussed presents the use of data consisting of rankings in such diverse fields as psychology, animal science, educational testing, sociology, economics, and biology. This book systematically presents the basic models and methods for analyzing data in the form of ranks. Integrating material from a wide range of fields, this book applies graphical, numerical, and modeling techniques to data sets, uncovering fascinating structures in the rank data. Topics examined include unified treatment of numerical summaries and statistical tests for analyzing and comparing samples; graphical projections for exploring permutation polytypes; extensive coverage of models for rank data; and examples from numerous fields illustrating the use of the techniques. Providing the most extensive coverage of the subject found in statistical literature, this book will be a welcomed reference to statisticians. In addition, this volume is also accessible to people in all areas of quantitative research. Researchers in psychology and consumer preference will discover a valuable resource; and sociologists, biologists, political and animal scientists will also benefit. As a text, it will be ideal for graduate students in courses on statistics and other quantitative disciplines.

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Ingrid Newkirk

The shattering account of one woman's struggle against the forces supporting the abuse of animals, Free the Animals is the best-selling and action-packed story of underground adventure, as well as an eloquent plea for the rights of nonhuman animals. Free the Animals, with an introduction by Chrissie Hynde, is the story of Valerie, a twenty-three-year-old police officer in Montgomery County, Maryland, whose world was turned upside down when she learned about the abuses of animals in laboratories. The book describes how this law-abiding woman came to challenge the system by taking direct action and examines why ordinary people are moved to do extraordinary things on behalf of animals. -- Amazon.com.