This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book's exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book's pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

Practice-Based Research shows mental-health practitioners how to establish viable and productive research programs in routine clinical settings. Chapters written by experts in practice-based research use real-world examples to help clinicians work through some of the most common barriers to research output in these settings, including lack of access to institutional review boards, lack of organizational support, and limited access to financial resources. Specialized chapters also provide information on research methods and step-by-step suggestions tailored to a variety of practice settings. This is an essential volume for clinicians interested in establishing successful, long-lasting practice-based research programs.

Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a "Test Yourself" section, and solutions are available on the instructor website for the book. A companion R package is available for use with this text.

Designing and conducting experiments involving human participants requires a skillset different from that needed for statistically analyzing the resulting data. The Design and Conduct of Meaningful Experiments Involving Human Participants combines an introduction to scientific culture and ethical mores with specific experimental design and procedural content. Author R. Barker Bausell assumes no statistical background on the part of the reader, resulting in a highly accessible text. Clear instructions are provided on topics ranging from the selection of a societally important outcome variable to potentially efficacious interventions to the conduct of the experiment itself. Early chapters introduce the concept of experimental design in an intuitive manner involving both hypothetical and real-life examples of how people make causal inferences. The fundamentals of formal experimentation, randomization, and the use of control groups are introduced in the same manner, followed by the presentation and explanation of common (and later, more advanced) designs. Replete with synopses of examples from the journal literature and supplemented by 25 experimental principles, this book is designed to serve as an interdisciplinary supplementary text for research-methods courses in the educational, psychological, behavioral, social, and health sciences. It also serves as an excellent primary text for methods seminar courses.

*First comprehensive introduction and guide to social fiction, an arts-based research approach. *Part graduate text, part reference for students and researchers in education, sociology, psychology, communications, nursing, human services, and related fields. *Engaging, humorous writing interweaves how-tos with examples from the author's fiction, along with insights and tips. *Provides evaluation criteria for social fiction.

This volume provides a fast and efficient way for undergraduate and graduate students to gain a solid understanding of the social psychology literature. Each chapter reviews a major subsection of research in the field, written by a leading social psychology researcher in that area. Coverage includes all the major empirical, theoretical and methodological developments in its subfield of social psychology. Beginning social psychologists, as well as those who may have emerged from their formal training with a less-than-solid grounding in the research literature, will find this volume invaluable. It is the book all social psychologists wished they had access to when they were getting grounded in the research literature!

First Steps in Research and Statistics is a new, very accessible approach to learning about quantitative methods. No previous knowledge or experience is assumed and every stage of the research process is covered.Key topics include: Formulating your research questions How to choose the right statistical test for your research design Important research issues, such as questionnaire design, ethics, sampling, reliability and validity Conducting simple statistics to explore relationships and differences in your data Using statistics to explore relationships and differences in your data Writing up your research report and presenting statistics Simple and helpful worksheets and flow diagrams guide you through the research stages. Each chapter contains exercises with answers to check whether you've understood.

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.

Called one of the best books ever about human communication, and a perennial bestseller, Pragmatics of Human Communication has formed the foundation of much contemporary research into interpersonal communication, in addition to laying the groundwork for context-based approaches to psychotherapy. The authors present the simple but radical idea that problems in life often arise from issues of communication, rather than from deep psychological disorders, reinforcing their conceptual explorations with case studies and well-known literary examples. Written with humor and for a variety of readers, this book identifies simple properties and axioms of human communication and demonstrates how all communications are actually a function of their contexts.

Topics covered in this wide-ranging book include: the origins of communication; the idea that all behavior is communication; meta-communication; the properties of an open system; the family as a system of communication; the nature of paradox in psychotherapy; existentialism and human communication."

This volume in the Springer Series in Evolutionary Psychology presents a state of the art view of the topic of sexuality and sexual behavior drawing on theoretical constructs and research of noted individuals in the field. Comprehensive and multi-disciplinary, this book seeks to provide a broad overview without sacrificing the complexity of a multi-faceted approach. The book is framed by introductory and closing sections that provide a context for the range of ideas contained within. Ample space is provided in designated sections that focus on key areas of sexuality from both male and female perspectives and that include information from primate studies. This volume can serve as a graduate text in sexual behavior in evolutionary terms and as a guide for further research.

Researchers and students in developmental psychology have pointed out that the numerous findings from research about human development seem disconnected and that it is difficult to fit fragmented bits of information together. Studies of separate domains of functioning (e.g., cognition, emotion, language, social relationships, identity) divide the field and there are increasing calls for integrative conceptions of human development. In Exploring the Dynamics of Human Development, Dr. Catherine Raeff constructs a theoretical framework that enables readers to reconcile seemingly disparate information by thinking systematically about dynamic developmental processes. This approach integrates systems theory, organismic-developmental theory, and sociocultural theory, as well as research across cultures and the life span Raeff brings developmental processes into coherence by building a unified theoretical framework that is organized around the following questions: What develops during development?; What happens during development?; and How does development happen? Using a wide range of illustrative empirical examples, Raeff conceptualizes what happens during development in terms of differentiation and integration and explains how development happens through individual, social, and cultural processes. The framework helps to overcome confusion in the field and explore issues such as individual and cultural variability, looking beyond age-based changed to understand development, and resolving fragmentation by starting with whole person functioning. The framework also opens up new directions for research. This book will be useful to developmentalists, graduate students, upper level undergraduates, and others who seek an integrative understanding of the field as a whole and a systematic way of thinking about and investigating human action and development.

Insightful observations on common question evaluation methods and best practices for data collection in survey research

Featuring contributions from leading researchers and academicians in the field of survey research, "Question Evaluation Methods: Contributing to the Science of Data Quality" sheds light on question response error and introduces an interdisciplinary, cross-method approach that is essential for advancing knowledge about data quality and ensuring the credibility of conclusions drawn from surveys and censuses. Offering a variety of expert analyses of question evaluation methods, the book provides recommendations and best practices for researchers working with data in the health and social sciences.

Based on a workshop held at the National Center for Health Statistics (NCHS), this book presents and compares various question evaluation methods that are used in modern-day data collection and analysis. Each section includes an introduction to a method by a leading authority in the field, followed by responses from other experts that outline related strengths, weaknesses, and underlying assumptions. Topics covered include: Behavior codingCognitive interviewingItem response theoryLatent class analysisSplit-sample experimentsMultitrait-multimethod experimentsField-based data methods

A concluding discussion identifies common themes across the presented material and their relevance to the future of survey methods, data analysis, and the production of Federal statistics. Together, the methods presented in this book offer researchers various scientific approaches to evaluating survey quality to ensure that the responses to these questions result in reliable, high-quality data.

Question Evaluation Methods is a valuable supplement for courses on questionnaire design, survey methods, and evaluation methods at the upper-undergraduate and graduate levels. it also serves as a reference for government statisticians, survey methodologists, and researchers and practitioners who carry out survey research in the areas of the social and health sciences.

Strategies and Tactics of Behavioral Research and Practice focuses on the most effective methods for measuring and evaluating changes in behavior. The authors provide the rationale for different procedures for measuring behavior and designing within-subject comparisons between control and intervention conditions. The text explains the strengths and weaknesses of methodological alternatives for every topic so that behavioral researchers and practitioners can make the best decisions in each situation. This classic text has been extensively revised to be more accessible and practical. Not only does it feature much more discussion of how research methods are relevant to today's practitioners, it also includes additional examples based on field research and service delivery scenarios. With expanded coverage on creating experimental designs, as well as new chapters on behavioral assessment, the statistical analysis of data, and ethical issues associated with research methods, this book provides a strong foundation for direct behavioral measurement, within-subject research design, and interpretation of behavioral interventions. Enriched with more pedagogical features, including key terms, tables summarizing important points, figures to help readers visualize text, and updated examples and suggested readings, this book is an invaluable resource for students taking courses in research methods. This book is appropriate for researchers and practitioners in behavior analysis, psychology, education, social work, and other social and health science programs that address questions about behavior in research or practice settings.

Experience the art of Jay Haley's strategic therapy as he personally utilizes a variety of techniques in treating depression, violence, and psychosis with couples, children, families and various ethnic groups. Visit www.haley-therapies.com for additional resources by Jay Haley, including live videos of the pioneering therapist in action.

What impact can various research methods have on consumer psychology? How can they help us understand the workings of the consumer mind? And how can the field of consumer psychology best utilize these methods? In the Handbook of Research Methods in Consumer Psychology, leading consumer psychologists summarize key aspects of the research process and explain how different methods enrich understanding of how consumers process information to form judgments and opinions and to make consumption-related decisions. Kardes, Herr, and Schwarz provide an in-depth analysis of the scientific research methods needed to understand consumption-related judgments and decisions. The book is split into five parts, demonstrating the breadth of the volume: classic approaches, contemporary approaches, online research methods, data analysis, and philosophy of science. A variety of leading researchers give insight into a wide range of topics, reflecting both long-standing debate and more recent developments in the field to encourage discussion and the advancement of consumer research. The Handbook of Research Methods in Consumer Psychology is essential reading for researchers, students, and professionals interested in consumer psychology and behavior.

Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication. Highlights of this text include: *thorough and balanced coverage of topics; *integration of classical methods with modern "resampling" approaches to inference; *consideration of practical, "real world" issues; *numerous examples and applications, all drawn from communication research; *up-to-date information, with examples justifying use of various techniques; and *downloadable resources with macros, data sets, figures, and additional materials. This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline.

*What do advanced statistical techniques do? *When is it appropriate to use them? *How are they carried out and reported? There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book: - concise and accessible introduction to calculating and interpreting advanced statistical techniques - use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique - succinct illustration of writing up the results of these analyses - minimum of mathematical, statistical and technical notation - annotated bibliography and glossary of key concepts Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.

This book provides an outline and critical discussion of the characteristics of mindfulness-based interventions (MBIs) research. Since the first reports on the use of mindfulness practices in health interventions, a large body of research literature has emerged to document the effectiveness of MBIs for reducing psychological distress and to increase well-being. The integration of mindfulness into very diverse psychological theories makes it a unique concept in psychology that has generated a large amount of interest both in academic research but also the broader media. With this growing literature, mindfulness researchers have also recognised the need to be more critical of its developments, such as how MBIs are presented to the public or what types of research methods are used to test claims of an MBI's effectiveness. This book examines the large variety of approaches in which MBIs have been studied, including an outline of the philosophical underpinnings of MBI research, definition and measurement of mindfulness, the use of qualitative and quantitative research methods, research design, and research that addresses cultural and religious factors. The book contributes to increased awareness of the current direction of MBI research and thus seeks to contribute to further methodological refinement and sophistication of the research field. This book on the characteristics of research on MBIs is a must read for any researcher or practitioner interested in this fascinating topic.

Crime statistics are everywhere, but how do you know when they're valid? If a newspaper report says "the rate of overall violent crime decreased by 0.9 percent," how can you tell where that statistic came from, what it measures, and how accurate it is? Is it worth repeating or sharing? Measuring Crime: Behind the Statistics gives you the tools to interpret and evaluate crime statistics' quality and usefulness. The book focuses on ways of thinking about crime statistics (no formulas!) and features Eight questions you should ask before quoting a statistic The two sources of information about homicide FBI statistics: what do they measure? How victimization surveys can reflect your experiences even though you were not asked to participate Special considerations when interpreting statistics about sexual assault and fraud Examples of experiments and studies on how to improve crime statistics Two online supplements containing additional details and links to data sources Whether you are a law enforcement professional, journalist, student, or interested citizen, Measuring Crime: Behind the Statistics will tell you how to read statistics as a statistician would. Sharon Lohr, the author of Sampling: Design and Analysis, has published widely about statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean's Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com. "The book aims to achieve two goals: introduce statistical ideas to a general audience and provide an overview of US crime statistics. These are disparate topics, but in the way they are approached here, there is a strong synergy that reinforces both aspects. One the one hand, the reader's natural curiosity about crime (what is it, how are crime events classified and reported, how reliable are the numbers you see in the newspaper, etc.) will help him/her become interested in the statistical issues and learn these concepts in a practical and concrete setting. And on the other hand, by reading about the statistical issues surrounding crime data, he/she gains a better appreciation for the complexities of crime statistics, eventually acquiring a deeper understanding of them. As a statistician myself, I learned interesting facts about the types of crime, their nomenclature and the possible confusion surrounding them, and how the data are collected and reported. Overall, I think the combination is effective and very well developed in this book." (Jean Opsomer, Westat) "This book is an excellent primer on handling the mass of data and information researchers are faced with. While it is geared toward followers of criminal justice information, much of the book is a very good introduction to survey techniques discussing their strong and weak points. Most importantly, there are very good guidelines and questions that one should employ before citing any data or using data for policy decisions or for reporting on data such as journalists do. The book is written in a non-technical manner and does a very good job of explaining the nuances in reviewing data. Any researcher who utilizes data would find this valuable. While it has specific examples in the criminal justice field, it really is quite useful for any user of data." (Barry Nussbaum, former President American Statistical Association)

What is it that drives people to undertake music research? Such interest frequently grows from on-the-ground experiences as learners, performers, facilitators, composers, arts administrators, and educators. It can emerge, for example, from music teachers trying out new teaching methods, performers wishing to know more about how to improvise effectively, educators pursuing the most effective ways to structure music curricula, musicians aiming to explain why their music enhances wellbeing among different groups of people, and orchestral managers seeking to promote and protect the health of their players. At the heart of all of these enquiries lies a question of some sort, and it is these research questions that determine the direction of the research to be undertaken. Performing Music Research is a comprehensive guide to planning, conducting, analyzing, and communicating research in music performance. The book examines the approaches and strategies that underpin research in music education, psychology, and performance science. It reviews the knowledge and skills needed to critique existing studies in these fields and to design and carry out new investigations. Perspectives on qualitative, quantitative, and multistrategy methodologies are highlighted across the book in ways that help aspiring researchers bring precision to their research questions, select methods that are appropriate for addressing their questions, and apply those methods systematically and rigorously. Each chapter contains a study guide, comprising a chapter summary, a list of keywords, and suggestions for further discussion, and the book concludes with a resources section, including a glossary and supplementary material to support advanced statistical analysis. The book''s companion website provides information designed to facilitate access to original research and to test knowledge and understanding.

While consumer research is founded on traditional quantitative approaches, the insight produced through qualitative research methods within consumer settings has not gone unnoticed. The culturally situated consumer, who is in intimate dialogue with their physical, virtual and social surroundings, has become integral to understanding the psychology behind consumer choices. This volume presents readers with theoretical and applied approaches to using qualitative research methods in ethnographic studies looking at consumer behavior. It brings together an international group of leading scholars in the field of consumer research, with educational and professional backgrounds in marketing, advertising, business, education, therapy and health. Researchers, teaching faculty, and students in the field of consumer and social psychology will benefit from the applied examples of qualitative and ethnographic consumer research this volume presents.