Now in its Seventh Edition, Neil J. Salkind's bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS(R), the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won't be intimidated by basic statistical tasks.

"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

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.

In an increasing data driven world, it is more important than ever for students as well as professionals to better understand the process of research, from the initial asking of questions through the analysis and interpretation of data leasing to a final report, and everything in between.

100 Questions (and Answers) about Research Methods summarizes the most important questions that lie in those inbetween spaces that one could ask about research methods while providing an answer as well. This is a short book and intended for those individuals who need a refresher as to what the important topics are within this area of study as well as for those who are entirely new to the discipline and need a resource as to what the key questions are that one might ask. It's for graduate students preparing for comprehensive exams, researchers who need a reference, undergraduates in affiliated programs who will not be taking a primary course in research methods and anyone curious about how these tools can most effectively be used.

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.

This Study Guide for introductory statistics courses in health and nursing departments is designed to accompany Salkind and Frey's Statistics for People Who (Think They) Hate Statistics, Seventh Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature health-specific content to help further student mastery of text concepts. Also included on the open-access study site at edge.sagepub.com/salkindfrey7e are SPSS datafiles containing survey data from health students, which are used for the exercises in the Study Guide. Data were generated for instruction purposes, and topics cover a range of health-related questions that are pertinent to health students, including the number of hours spent exercising per week, smoking status, number of hours slept per week, number of alcoholic beverages consumed per week, and sources of worry. The database includes 22 variables.

"The book is well written and the theorists and their respective work are well-presented and clearly explained. . . . As a text dealing with the historical overview of major theorists and their work in human development over the last century or so, it is extremely strong and could be widely used in a variety of both undergraduate and graduate courses." -Ann C. Diver-Stamnes, Humboldt State University "In general, I found the websites and references listed at the end of each chapter to be very interesting and useful for taking students beyond what is in the text." -Jane Ledingham, University of Ottawa "A fine choice for a classic theories course, and I believe that the level of presentation would be appropriate for advanced undergraduate or graduate students. . . . The up-to-date web sites at the end of each section are a definite plus. The choice of sites is excellent." -Cosby Steele Rogers, Virginia Tech An Introduction to Theories of Human Development examines the development process, looking at the series of changes that occur as a result of an interaction between biological and environmental factors. Why might our behavior as an adult be so different from when we were infants? Why and how does one stage of development follow the next? Are the changes that we experience abrupt in nature or smooth and predictable? Author Neil J. Salkind reflects on such critical questions to help readers understand what happens along the way as one develops from infancy through later life. This book provides a comprehensive view of the primary theoretical models of human development including those from the biological, psychoanalytic, behavioral, and cognitive developmental perspectives. Along with a brief discussion of a historical background for each of these approaches, An Introduction to Theories of Human Development examines the application of these theories to various aspects of human development, such as the effectiveness of early intervention, individual differences, adolescence, and sociobiology. Features of this text: A final, integrative chapter compares the various theories presented in the book using Murry Sidman's model of six criteria for judging a theory to help develop students' skills for critically assessing theory. Classic approaches to understanding human behavior across the lifespan are also examined. Pedagogical features such as chapter opening quotes, boxed highlights, key terms, a glossary, and websites for further reading enhance student understanding of everyday human behavior. An Introduction to Theories of Human Development is an accessible text for advanced undergraduate students in the social and behavioral sciences including such fields as psychology, education, human services, nursing, sociology, social welfare, and human development and family studies.

"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

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 (R) 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.