Advances in Motivation Science, Volume Five, is the latest release in this serial on the topic of motivation science. Users will find comprehensive chapters on a variety of topics, including The functional architecture of personality, Parsing the role of mesolimbic dopamine in specific aspects of motivation: Behavioral activation, invigoration, and effort-based decision making, The allostatic brain: Prediction, affect and motivation, the Egosystem and Ecosystem: Motivational Systems for the Self, The Role of Flow in Optimal Development, PSI Theory, Self-Efficacy's Odd Role in Unifying Self-Regulation Theories, Children's Expectancies and Values: Developmental Trajectories and Impact on Performance and Choice, amongst other topics. The advent of the cognitive revolution in the 1960 and 70s eclipsed the emphasis on motivation to a large extent, but in the past two decades motivation has returned en force. Today, motivational analyses of affect, cognition and behavior are ubiquitous across psychological literatures and disciplines. This series brings together internationally recognized experts who focus on cutting-edge theoretical and empirical contributions in this important area of psychology.

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. R Software The following repository contains data files and R scripts from the book https://github.com/michaelgreenacre/CODAinPractice. The R package easyCODA, which accompanies this book, is available on CRAN -- note that you should have version 0.25 or higher. The latest version of the package will always be available on R-Forge and can be installed from R with this instruction: install.packages("easyCODA", repos="http://R-Forge.R-project.org").

*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.

Diversity-Sensitive Personality Assessment is a comprehensive guide for clinicians to consider how various aspects of client diversity-ethnicity, gender, sexual orientation, age, nationality, religion, regionalism, socioeconomic status, and disability status-can impact assessment results, interpretation, and feedback. Chapters co-written by leading experts in the fields of diversity and personality assessment examine the influence of clinician, client, interpersonal, and professional factors within the assessment context. This richly informed and clinically useful volume encourages clinicians to delve into the complex ways in which individuals' personal characteristics, backgrounds, and viewpoints intersect. This book fills an important gap in the personality assessment literature and is an essential resource for clinicians looking to move beyond surface-level understandings of diversity in assessment.

Applied Statistics I: Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques. The author's contemporary approach differs from some of the well-worn texts in the market, and reflects current thinking in the field. It spends less time on statistical significance testing, and moves in the direction of the "new statistics" by focusing more on confidence intervals and effect size. Instructors of upper undergraduate or beginning graduate level courses will find that the greater focus on basic concepts such as partition of variance and effect size is more useful to students, particularly as preparation for more advanced courses. Spending less time on statistical significance testing allows for more time to be devoted to more interesting and useful statistics that students will see in journal articles (such as correlation and regression). This introductory statistics text includes examples in SPSS, together with datasets on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.

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.

First published in 1996. This book is designed to help students acquire basic skills needed to comprehend social and behavioural science research reports. These skills are needed to understand research results that we confront in our everyday lives in magazines, newspapers, on television, and elsewhere. It includes a guide and a workbook.

Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: * Formulation of the problem * Stipulation of the precision requirements * Selecting the statistical model for the planning and analysis * The (optimal) design of the experiment or survey * Performing the experiment or the survey * Statistical analysis of the observed results * Interpretation of the results.

Writing with Clarity and Style, 2nd Edition, will help you to improve your writing dramatically. The book shows you how to use dozens of classical rhetorical devices to bring power, clarity, and effectiveness to your writing. You will also learn about writing styles, authorial personas, and sentence syntax as tools to make your writing interesting and persuasive. If you want to improve the appeal and persuasion of your speeches, this is also the book for you. From strategic techniques for keeping your readers engaged as you change focus, down to the choice of just the right words and phrases for maximum impact, this book will help you develop a flexible, adaptable style for all the audiences you need to address. Each chapter now includes these sections: Style Check, discussing many elements of style, including some enhanced and revised sections Define Your Terms, asking students to use their own words and examples in their definitions. It's in the Cloud, directing students to the Web to locate and respond to various rhetorically focused items, including biographies and speeches. Salt and Pepper, spicing up the study of rhetoric by stretching students' thinking about how their writing can be improved, sometimes by attending to details such as punctuation, and sometimes by exploring the use of unusual techniques such as stylistic fragments. Review Questions, providing an end-of-chapter quiz to help cement the chapter ideas in long-term memory. Questions for Thought and Discussion, a set of questions designed for either in-class discussion or personal response. New to the Second Edition Additional examples of each device, including from world personalities and the captains of industry More and longer exercises, with a range of difficulty Advice from classical rhetoricians including Aristotle, Horace, Longinus, Cicero, and Quintilian.

Research Methods in Applied Behavior Analysis, 2nd edition, is a practical text that provides the beginning researcher with a clear description of how behavior analysts conduct applied research and submit it for publication. In a sequence of ten logical steps, the text covers the elements of single-case research design and the practices involved in organizing, implementing, and evaluating research studies. This revision includes new material on how to critique a journal article and how to extract treatment ideas from published studies. The novice researcher receives a "steps for success" approach that is brief, useful, to the point, and clearly delineated.

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.

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.

This is a complete text combining practical data collection, research and statistical analysis, plus how to write up reports. Both qualitative and quantitative approaches are discussed in-depth. This is an essential all-in-one text for students undertaking practical courses in psychology. Suitable for AS/A2 psychology and undergraduates.

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume I focuses on linear models for continuous outcomes.

This compendium of examples of psychological concepts and phenomena is designed to make it easier for both novice and experienced teachers of psychology at all levels to bring new and/or particularly illuminating examples to their lectures and other presentations. Psychology instructors know that vivid examples bring concepts to life for students, making psychology both more accessible and interesting. Having a good supply of such examples can be particularly important when, as often happens, students fail to immediately grasp particular points, especially those that are complex or difficult. Generating compelling examples can be challenging, particularly when teaching a course, such as Introductory Psychology, in which much of the material is outside one's main area of expertise, when teaching a course for the first time, or when teaching a course that is entirely outside one's main area of expertise. This compendium will serve as a one-stop reference that presents a topic-organized body of compelling examples that instructors can explore as they prepare their teaching materials. The examples they will find range from simple illustrations (e.g., muting an obnoxious commercial as an example of negative reinforcement), to videos (e.g., of a patient with prosopagnosia), to brief stories (e.g., about how confirmation bias led a man to dismantle a kitchen because he assumed that an electrical stove's whining clock was a trapped kitten), to short summaries of research that illustrate a concept or phenomenon. Beyond their value for enhancing the quality and interest level of classroom lectures, the examples in this book can help teachers find ideas for engaging multiple-choice exam and quiz items. They can also serve as stimuli for writing assignments and small group discussions in which students are asked to come up with additional examples of the concept or phenomenon, or link them to other concepts or phenomena.

This approach gives the practical skills used by outstanding communicators. Excellent communication is the basis of creating excellent results. NLP skills are proving invaluable for personal development and professional excellence in counselling, education and business.Introducing NLP includes:• How to create rapport with others• Influencing skills• Understanding and using body language• How to think about and achieve the results you want• The art of asking key questions• Effective meetings, negotiations and selling• Accelerated learning strategies.

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.

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.

More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today's research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no training in multivariate methods. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps reader's master key concepts so they can implement and interpret results generated by today's sophisticated software. Annotated screenshots from SPSS and other packages are integrated throughout. Designed for course flexibility, after the first 4 chapters, instructors can use chapters in any sequence or combination to fit the needs of their students. Each chapter includes a 'mathematical snapshot' that highlights the technical components of each procedure, so only the most crucial equations are included. Highlights include: -Outlines, key concepts, and vignettes related to key concepts preview what's to come in each chapter -Examples using real data from education, psychology, and other social sciences illustrate key concepts -Extensive coverage of assumptions including tables, the effects of their violation, and how to test for each technique -Conceptual, computational, and interpretative problems mirror the real-world problems students encounter in their studies and careers -A focus on data screening and power analysis with attention on the special needs of each particular method -Instructions for using SPSS via screenshots and annotated output along with HLM, Mplus, LISREL, and G*Power where appropriate, to demonstrate how to interpret results -Templates for writing research questions and APA-style write-ups of results which serve as models -Propensity score analysis chapter that demonstrates the use of this increasingly popular technique -A review of matrix algebra for those who want an introduction (prerequisites include an introduction to factorial ANOVA, ANCOVA, and simple linear regression, but knowledge of matrix algebra is not assumed) -www.routledge.com/9780415842365 provides the text's datasets preformatted for use in SPSS and other statistical packages for readers, as well as answers to all chapter problems, Power Points, and test items for instructors

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.

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)

The world of Research Methods is always changing and becoming ever more complex. Now completely up to date with the latest innovations, this book engages with recent controversies to give you the best start with your research. In each chapter you will find: * Key concept boxes to help you stay on track and focus on what's most important * Real life examples which make the theory easier to understand * Exercises to check you've understood the chapter * Questions to help you develop your critical thinking. Also available online are: * Multiple choice questions to test your understanding * Datasets to allow you to practice your skills * A flashcard glossary to help with revision. Offering a complete package to anyone taking a research methods course as part of their degree.