Neil J. Salkind - Böcker

"If a student researcher had only one handbook on their bookshelf, Miller and Salkind's Handbook would certainly have to be it. With the updated material, the addition of the section on ethical issues (which is so well done that I'm recommending it to the departmental representative to the university IRB), and a new Part 4 on "Qualitative Methods", the new Handbook is an indispensable resource for researchers." --Dan Cover, Department of Sociology, Furman University

" I have observed that most instructors want to teach methodology "their way" to imbue the course with their own approach; Miller-Salkind allows one to do this easily. The book is both conceptually strong (e.g., very good coverage of epistemology, research design and statistics) and at the same time provides a wealth of practical knowledge (scales, indices, professional organizations, computer applications, etc.) In addition, it covers the waterfront of methodology." --Michael L. Vasu, Director of Information Technology, North Carolina State University

"A unique and excellent reference tool for all social science researchers, and a good textbook for graduate students and senior year undergraduate classes. These students are about to enter the real life of research, and need a handy and comprehensive tool as a starting point that offers shortcuts for getting into real research projects. For a small project, the book offers enough information to get the project started. For big projects, the book is ideal for information on where to look for things and examples." --Jianhong Liu, Department of Sociology, Rhode Island College

 The book considered a "necessity" by many social science researchers and their students has been revised and updated while retaining the features that made it so useful. The emphasis in this new edition is on the tools graduate students and more advanced researchers need to conduct high quality research.

Features/Benefits:

New to this edition:

Plus, there is an extensive and well-organized table of contents with four levels of headings; and, for the first time in the history of the book, a comprehensive index.

"If a student researcher had only one handbook on their bookshelf, Miller and Salkind's Handbook would certainly have to be it. With the updated material, the addition of the section on ethical issues (which is so well done that I'm recommending it to the departmental representative to the university IRB), and a new Part 4 on "Qualitative Methods", the new Handbook is an indispensable resource for researchers." --Dan Cover, Department of Sociology, Furman University

" I have observed that most instructors want to teach methodology "their way" to imbue the course with their own approach; Miller-Salkind allows one to do this easily. The book is both conceptually strong (e.g., very good coverage of epistemology, research design and statistics) and at the same time provides a wealth of practical knowledge (scales, indices, professional organizations, computer applications, etc.) In addition, it covers the waterfront of methodology." --Michael L. Vasu, Director of Information Technology, North Carolina State University

"A unique and excellent reference tool for all social science researchers, and a good textbook for graduate students and senior year undergraduate classes. These students are about to enter the real life of research, and need a handy and comprehensive tool as a starting point that offers shortcuts for getting into real research projects. For a small project, the book offers enough information to get the project started. For big projects, the book is ideal for information on where to look for things and examples." --Jianhong Liu, Department of Sociology, Rhode Island College

 The book considered a "necessity" by many social science researchers and their students has been revised and updated while retaining the features that made it so useful. The emphasis in this new edition is on the tools graduate students and more advanced researchers need to conduct high quality research.

Features/Benefits:

New to this edition:

Plus, there is an extensive and well-organized table of contents with four levels of headings; and, for the first time in the history of the book, a comprehensive index.

In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way.  It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions.

Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind’s Excel Statistics: A Quick Guide shows readers how to utilize Microsoft® Excel’s functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site. 

Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS and Excel versions are joined by a first edition of the text for use with the R software. New co-author Leslie A. Shaw carries forward Neil’s signature humorous, personable, and informative approach. The text guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance.

Features and benefits:

·         Lots of support for getting started with R: Included are two introductory chapters on R and on R Studio, plus an appendix on other R packages and resource sites.

·         Step-by-step demonstrations of each statistical procedure in R: The authors show how to import the dataset, enter the syntax to run the test, and understand the output.

·         Additional resources make it easy to transition to this text, and to R:  Code and datasets are available on an accompanying website, which also includes screencast R tutorial videos for students, and PowerPoint slides and additional test questions for instructors.