The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:- Difficulty Rating Index for each chapter′s material- Tips for doing and thinking about a statistical technique- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection- Steps that break techniques down into a clear sequence of procedures- SPSS tips for executing each major statistical technique- Practice exercises at the end of each chapter, followed by worked out solutions.The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.

    Donna is so sensitive in exploring those issues, a first in a text for that class and a welcome addition.--Nick Eastmond, Utah State UniversityFocused on discussing what is considered to be good research, this text explains quantitative, qualitative, and mixed methods in detail, incorporating the viewpoints of various research paradigms into the descriptions of these methods. Approximately 60% of the content in this Third Edition is new, with lots of fresh examples.Key FeaturesPostpositivist, constructivist, transformative, and pragmatic paradigms discussedConducting research in culturally complex communities emphasized throughoutA step-by-step overview of the entire research process providedNew to this Edition New coverage on how to write a literature review and plan a dissertationNew pedagogy including Extending Your Thinking throughoutThis is a core or supplemental text for research courses in departments of education, psychology, sociology, social work and other human-services disciplines.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    For each question, there is a concise explanation of how to apply it in the evaluation of research reports.Numerous examples from journals in the social and behavioral sciences illustrate the application of the evaluation questions. Students see actual examples of strong and weak features of published reports.Commonsense models for evaluation combined with a lack of jargon make it possible for students to start evaluating research articles the first week of class.The structure of this book enables students to work with confidence while evaluating articles for homework.Avoids oversimplification in the evaluation process by describing the nuances that may make an article publishable even though it has serious methodological flaws. Students learn when and why certain types of flaws may be tolerated. They learn why evaluation should not be performed mechanically.This book received very high student evaluations when field-tested with students just beginning their study of research methods.Contains more than 60 new examples from recently published research. In addition, minor changes have been made throughout for consistency with the latest edition of the Publication Manual of the American Psychological Association."

    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.

    This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop.Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.

    It also stresses the importance of ethics in research and taking the time to properly design and think through any research endeavor.

    The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject.

    Written specifically for students with no previous experience of research and research methodology, the writing style is simple and clear and the author presents this complex subject in a straightforward way that empowers readers to tackle research with confidence. The book has been revised and updated to include extended coverage of qualitative research methods in addition to existing comprehensive coverage of quantitative methods. There are also brand new learning features such as reflective questions throughout the text to help students consolidate their knowledge.

    Rossi, Mark W. Lipsey, and Howard E. Freeman first published Evaluation: A Systematic Approach, more than 90,000 readers have considered it the premier text on how to design, implement, and appraise social programs through evaluation. In this, the completely revised Seventh Edition, authors Rossi and Lipsey include the latest techniques and approaches to evaluation as well as guidelines to tailor evaluations to fit programs and social contexts.With decades of hands-on experience conducting evaluations, the authors provide scores of examples to help students understand how evaluators deal with various critical issues. They include a glossary of key terms and concepts, making this the most comprehensive and authoritative evaluation text available.Thoroughly revised, the Seventh Edition now includes* Substantially more attention to outcome measurement* Lengthy discussions of program theory, including a section about detecting program effects and interpreting their practical significance* An augmented and updated discussion of major evaluation designs* A detailed exposition of meta-analysis as an approach to the synthesis of evaluation studies* Alternative approaches to evaluation* Examples of successful evaluations* Discussions of the political and social contexts of evaluation

    This best-selling text provides students with the most accessible, comprehensive and current introduction to the issues confronting racial and ethnic groups in both the U.S. and other countries. Organized first by issues and then by major racial and ethnic groups, the text examines each group's history, then explores its current situation and its concerns for the future. Richard Schaefer, a leading scholar in the area of racial and ethnic relations, grew up in Chicago in the 1960's, at a time when neighborhoods were going through transitions in ethnic and racial composition. He found himself increasingly intrigued by what was happening, how people were reacting, and how these changes were affecting neighborhoods and people's jobs. This life-long interest led to a career in sociology, specifically in the areas of race, gender and social class. This book grew out of his desire to help students to understand the changing dynamics of the U.S. population.

    Using examples from a wide range of disciplines, the authors give readers expert advice on the entire dissertation process: selecting a suitable topic; conducting a literature review; managing data overload; building an argument; presenting the material, data, and results; and working with faculty committees. The entire text has been updated and fresh examples have been added to it. This edition features an up-to-the-minute discussion of online research and the use of software packages. The authors have expanded their coverage of qualitative work, and added information about the use of mixed methods to the book. These updates and more make the Third Edition of Surviving Your Dissertation a must have resource for graduate students.Key Features of the Third Edition: Walks readers through the dissertation process as an ideal mentor would.Devotes more attention to qualitative work, and touches upon mixed methods.Discusses online library resources and completing one′s dissertation via the Internet.Features new material on the use of graphics.Includes information about informed consent forms.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Robert Kaplan and Dennis Saccuzzo provide students with a current analysis of the most widely used psychological tests in schools, professional training programs, business, industry, the military, and clinical settings. The authors offer a clear picture of how psychological tests are constructed, how they are used, and how an understanding of them can make a difference in their careers and everyday lives. Comprehensive and accurate, yet interesting and personally relevant, this book gets and keeps students' attention through the use of informal discussions and real-life examples.

    It draws on Robert Weiss's thirty years of experience in interviewing and teaching others how to do it. The most effective interviews, says Weiss, rely on creating cooperation -- an open and trusting alliance between interviewer and respondent, dedicated to specific and honest accounts of both internal and external events. Against the eclectic background of his work in national sample surveys, studies based on semi-structured interviewing, and participant observation, Weiss walks the reader through the method of qualitative interview studies: sample selection, development of an interview guide, the conduct of the interview, analysis, and preparation of the data. Weiss gives examples of successful and less successful interviews and offers specific techniques and guidelines for the practitioner.