The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn't need to be difficult or dull. This text minimizes students' anxieties about math by explaining the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and make informed choices. New to the Fourth Edition are sections on working with big data, new coverage of alternative non-parametric tests, beta coefficients, and the "nocebo effect," discussions of p values in the context of research, an expanded discussion of confidence intervals, and more exercises and homework options under the new feature "Test Yourself." Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint (R) slides.

This textbook offers a refreshingly clear and digestible introduction to statistical analysis for psychology using the user-friendly jamovi software. The authors provide a concise, practical guide that takes students from the early stages of research design, with a jargon-free explanation of terminology, and walks them through key analyses such as the t-test, ANOVA, correlation, chi-square, and linear regression. The book features written interpretations to help learners identify relevant statistics along the way. With fascinating examples from psychological research, as well as screenshots and activities from jamovi, this text is sure to encourage even the most reluctant statistics student. The comprehensive companion website provides an extra helping hand, with practice datasets and a full suite of tutorial videos to help consolidate understanding. This is essential reading for psychology students using jamovi for their courses in Research Methods and Statistics or Data Analysis.

'Excellent advice on dealing with young people. I wish IAEd had this book when my own children were adolescents!'uPatricia Wolfe, International Educational Consultant, Mind Matters, Inc.'Written in a reader-friendly manner, the book thoughtfully examines the transition period from childhood to adulthood and combines scholarship from psychology, education, and neuroscience. Loved the graphics!'uSheryl Feinstein, Associate Professor, Augustana College'Readers will leave this book with a sense of calmness about living or working with adolescents.'uBob Patterson, Training Manager, Discovery EducationHow the teenage brain thinks, feels, learns, and changes on its journey to adulthood.In this enlightening volume, expert educator and scientist Robert Sylwester explains how adults can better understand teenagers through an engaging discussion of the adolescent brain. Readers will learn how to:Mentor adolescents rather than attempt to control themNurture creativity, imagination, and individuality Understand such critical issues as sexuality and bonding, morality and ethics, risk and security, collaboration and autonomy, and moreEasy-to-understand theories, familiar examples, and nontechnical language make complex research accessible and appropriate for rewarding classroom or family discussion.

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data. New to the Second Edition Reorganized to focus on unbalanced data Reworked balanced analyses using methods for unbalanced data Introductions to nonparametric and lasso regression Introductions to general additive and generalized additive models Examination of homologous factors Unbalanced split plot analyses Extensions to generalized linear models R, Minitab (R), and SAS code on the author's website The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.

`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.

This reference introduces an innovative new-employee safety risk model, keyed to a typical new worker becoming acclimated to a new job and workplace. It reviews risk factors, their root causes, and how they can be addressed and minimized through targeted strategies at each stage of a worker's early months on the job. The model and its supporting findings dovetail with current thinking on employee safety and organizational accountability. And, of extra benefit to employers, the risk management strategies to improve new employee safety can be undertaken with minimal expenditure of time, money, and disruption. The book's real-world framework: * Analyzes high accident rates among new hires. * Describes four basic types of job applicants and safety concerns common to each. * Examines the role of recruitment and selection processes in promoting employee safety. * Discusses safety benefits and risks surrounding pre-start training. * Models the use of new employees' job familiarization to minimize safety risks. * Identifies safety risks associated with helping behaviors. * Identifies employee measures that can be used in assessing job safety risk. * Integrates safety management strategies with other human resource management activities New Employee Safety provides clear practical guidance to individuals involved in occupational safety management. The book makes a useful text for undergraduate and postgraduate courses on occupational safety management, and in fields such as behavioral science, psychology, business management, and human resources.

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author's website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study Full solutions manual available to course instructors.

Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outstanding research reference. Starting with the unified theory, the authors explain in the clearest of terms the subsequent developments. In fact, even the most modern innovations of survey sampling, both methodological and theoretical, have found a place in this concise volume. See what's new in the Second Edition: Descriptions of new developments A wider range of approaches to common problems Increased coverage of methods that combine design and model-based approaches, adjusting for sample errors Covering the current state of development of essential aspects of theory and methods of survey sampling, the authors have taken great care to avoid being dogmatic and eschew taking sides in their presentation. They have created tool for graduate and advanced level students and a reference for researchers and practitioners that goes beyond the coverage found in most textbooks.

This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated-measures data, focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book. In this book, the authors offer an introduction to statistics entirely focused on repeated measures data beginning with very simple two-group comparisons and ending with multinomial regression models with many 'random effects'. Across 13 well-structured chapters, readers are provided with all the code necessary to run all the analyses and make all the plots in the book, as well as useful examples of how to interpret and write-up their own analyses. This book provides an accessible introduction for readers in any field, with any level of statistical background. Senior undergraduate students, graduate students, and experienced researchers looking to 'translate' their skills with more traditional models to a Bayesian framework, will benefit greatly from the lessons in this text.

"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years… I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University)

What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics.

Key Features:

Has been thoroughly revised to incorporate recent research and applications.

Includes a new chapter on nonprobability samples, and more than 200 new examples and exercises have been added.

Teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology.

SDA’s companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides—with code, annotated output, and helpful tips—for working through the SDA examples. Instructors can use either R or SAS® software.

SAS® Software Companion for Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (2022, CRC Press)

R Companion for Sampling: Design and Analysis, Third Edition by Yan Lu and Sharon L. Lohr (2022, CRC Press)

Table of Contents

1. Introduction 2. Simple Probability Samples 3. Stratified Sampling 4. Ratio and Regression Estimation 5. Cluster Sampling with Equal Probabilities 6. Sampling with Unequal Probabilities 7. Complex Surveys 8. Nonresponse 9. Variance Estimation in Complex Surveys 10. Categorical Data Analysis in Complex Surveys 11. Regression in Complex Surveys 12. Two-Phase Sampling 13. Estimating the Size of a Population 14. Rare Populations and Small Area Estimation 15. Nonprobability Samples 16. Survey Quality

This book provides an overview of cutting-edge methods currently being used in cognitive psychology, which are likely to appear with increasing frequency in coming years. Once built around univariate parametric statistics, cognitive psychology courses now seem deficient without some contact with methods for signal processing, spatial statistics, and machine learning. There are also important changes in analyses of behavioral data (e.g., hierarchical modeling and Bayesian inference) and there is the obvious change wrought by the advancement of functional imaging. This book begins by discussing the evidence of this rapid change, for example the movement between using traditional analyses of variance to multi-level mixed models, in psycholinguistics. It then goes on to discuss the methods for analyses of physiological measurements, and how these methods provide insights into cognitive processing. New Methods in Cognitive Psychology provides senior undergraduates, graduates and researchers with cutting-edge overviews of new and emerging topics, and the very latest in theory and research for the more established topics.

Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions. The text covers current research output in a student-friendly manner with attractive illustrations. It introduces sampling and discusses how to select a sample for which a selection-probability is specified to prescribe its performance characteristics. The author then explains how to examine samples with varying probabilities to derive profits. He then examines how to use partial segments to make reasonable guesses about a sample's behavior and assess the elements of discrepancies. Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling, before moving on to speculating about random processes. The author draws on his extensive teaching experience to create a textbook that gives your students a thorough grounding in the technologies of survey sampling and modeling and also provides you with the tools to teach them.

Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well. Using R for Item Response Theory Model Applications is a practical guide for students, instructors, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data. This book provides practical line-by-line descriptions of how to use R IRT packages for various IRT models. The scope and coverage of the modeling in the book covers almost all models used in practice and in popular research, including: dichotomous response modeling polytomous response modeling mixed format data modeling concurrent multiple group modeling fixed item parameter calibration modelling with latent regression to include person-level covariate(s) simple structure, or between-item, multidimensional modeling cross-loading, or within-item, multidimensional modeling high-dimensional modeling bifactor modeling testlet modeling two-tier modeling For beginners, this book provides a straightforward guide to learn how to use R for IRT applications. For more intermediate learners of IRT or users of R, this book will serve as a great time-saving tool for learning how to create the proper syntax, fit the various models, evaluate the models, and interpret the output using popular R IRT packages.

By revealing underlying assumptions that influence the field of psychology, The Hidden Worldviews of Psychology's Theory, Research, and Practice challenges psychologists to reconsider the origins of ideas they may take as psychological truths. Worldviews, or the systems of assumptions that provide a framework for psychological thinking, have great influence on psychological theory, research, and practice. This book attempts to correct assumptions by describing the worldviews that have shaped psychological theory, practice, and research and demonstrating how taking worldviews into account can greatly advance psychology as a whole.

Fully updated to reflect the latest developments, the third edition of Research Methods In Clinical Psychology offers a comprehensive introduction to the various methods, approaches, and strategies for conducting research in the clinical psychology field. * Represents the most accessible, user-friendly introduction to conducting and evaluating research for clinical psychologists and related professionals * Ideal for students and practitioners who wish to conduct their own research or gain a better understanding of published research * Addresses important issues such as philosophical underpinnings of various methodologies, along with socio-political issues that arise in clinical and community settings * Step-by-step guidance through all phases of a clinical psychology research project from initial concept and groundwork, through to measurement, design, analysis, and interpretation * Updates to this edition include new or expanded coverage of such topics as systematic review and literature searching methods, modern psychometric methods, guidance on choosing between different qualitative approaches, and conducting psychological research via the Internet

This book offers readers a uniquely detailed engagement with the ideas of legendary French psychoanalyst Jacques Lacan. The Freudian Thing is one of Lacan's most important texts, wherein he explains the significance and stakes of his "return to Freud" as a passionate defence of Freud's disturbing, epoch-making discovery of the unconscious, against misrepresentations and criticisms of it. However, Lacan is characteristically cryptic in The Freudian Thing. The combination of his writing style and vast range of references renders much of his thinking inaccessible to all but a narrow circle of scholarly specialists. Johnston's Irrepressible Truth opens up the universe of Lacanian psychoanalysis to much wider audiences by furnishing a sentence-by-sentence interpretive unpacking of this pivotal 1955 essay. In so doing, Johnston reveals the precision, rigor, and soundness of Lacan's teachings.

Touch may well be one of the least understood or talked about subjects in the helping professions. A discussion on the importance and ethics of positive, caring, and appropriate touch in professions such as teaching, nursing and counselling is long overdue. Touch in the Helping Professions delivers just that, weaving together scholarly evidence, research and clinical practice from a wide range of perspectives encompassing philosophy, theology, psychology, and anthropology to challenge assumptions about the role of touch in the helping professions. The contributors to the volume focus not only on the overarching roles of gender, age, culture and life experience, but go beyond to encompass canine-assisted therapy, touch deprivation, sacred objects, as well as key ethical considerations. The prevailing lack of dialogue, due to fear of contravening ethical boundaries, has stood in the way of an open and responsible discussion on the use of touch in therapy. Touch in the Helping Professions is a welcome and much needed contribution to the field-a window onto a fundamental need. This book is published in English. - Cet ouvrage offre un ensemble de donnees probantes et de resultats cliniques a l'appui du toucher dans le developpement physique et emotionnel. Il est structure selon trois axes : la theorie sur le toucher; la pratique du toucher dans un contexte de therapie, et les questions ethiques. Il aborde la question du role du genre, de l'age, de la culture et de l'experience de vie, des sujets comme la zootherapie, la privation sensorielle, des objets sacres, et des considerations d'ordre ethique. Les approches variees - philosophie, theologie, psychologie, anthropologie - remettent en question les presuppositions, offrent un contexte historico-culturelprofessionnel, et font appel a des donnees primaires. Les collaborateurs soutiennent que le toucher sain et non sexuel n'est pas suffisamment enseigne dans le cadre de la formation professionnelle. Cette absence de dialogue - engendree par la crainte de depasser des bornes ethiques, fait en sorte qu'une discussion ouverte et responsable sur l'utilisation du toucher dans un cadre therapeutique ne peut avoir lieu, alors meme qu'elle contribuerait aux balises theoriques de notre comprehension de cet enjeu fondamental. Ce livre est publie en anglais.

This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs. The book offers instructions on how to perform state-trace analysis using the authors' own publicly-available software in both Matlab and R. The book begins by discussing the general framework for thinking about the relationships between independent variables, latent variables, and dependent variables. Subsequent chapters provide a software package that can be used to fit state-trace models as well as additional designs and examples. The book concludes with a discussion on potential extensions of STA and additional aspects of its application. State-Trace Analysis will be of interest to researchers and graduate students working in experimental, applied, and cognitive psychology.

Can adversity lead to enduring positive change across the lifespan? Providing a thoughtful and considered exploration of this question, this book presents a critical reassessment of posttraumatic growth, based on correcting prior theoretical and methodological limitations in the current research. Its core argument is that posttraumatic growth should be reconceptualized as positive personality change, and thus should be studied using novel methodological approaches from the field of personality psychology. Broadly, this argument is put forward in five progressive sections. Beginning by giving a conceptual and interdisciplinary overview of posttraumatic growth as a phenomenon, the volume then reviews the current academic conceptualization of posttraumatic growth and makes a case for a 'reset' in the research. The next section maintains that posttraumatic growth is in fact a form of positive personality change and should be analyzed using personality science methodology. Using positive personality change as a theoretical foundation for posttraumatic growth, the following two sections look at posttraumatic growth in context. It is explored both in the long term, such as in the development of reflective knowledge and wisdom, and in specific situations such as with refugees in Sri Lanka and survivors of the Rwandan genocide. Lastly, Exploring the Psychological Benefits of Hardship: A Critical Reassessment of Posttraumatic Growth concludes by offering recommendations for scholars and researchers that will improve the quality of research on posttraumatic growth, and will advance this important and worthy field.

Intriguing new findings on how genes and environments work together through different stages of life take the spotlight in this significant collection. Studies from infancy to late adulthood show both forces as shaping individuals' relationships within family and non-family contexts, and examine how these relationships, in turn, continue to shape the individual. Transitional periods, in which individuals become more autonomous and relationships and personal identities become more complicated, receive special emphasis. In addition, chapters shed light on the extent to which the quantity and quality of genetic and environmental influence may shift across and even within life stages. Included in the coverage: Gene-environment interplay in parenting young children. The sibling relationship as a source of shared environment. Gene-environment transactions in childhood and adolescent problematic peer relationships. Toward a developmentally sensitive and genetically informed perspective on popularity. Spouse, parent, and co-worker: roles and relationships in adulthood. The family system as a unit of clinical care: the role of genetic systems. Behavioral geneticists, clinical psychologists, and family therapists will find in Gene-Environment Interplay in Interpersonal Relationships across the Lifespan a window into current thinking on the subject, new perspectives for understanding clients and cases, and ideas for further study.

Current robots and other artificial systems are typically able to accomplish only one single task. Overcoming this limitation requires the development of control architectures and learning algorithms that can support the acquisition and deployment of several different skills, which in turn seems to require a modular and hierarchical organization. In this way, different modules can acquire different skills without catastrophic interference, and higher-level components of the system can solve complex tasks by exploiting the skills encapsulated in the lower-level modules. While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain. They might even lead to the cumulative acquisition of an ever-increasing number of skills, which seems to be a characteristic of mammals, and humans in particular. This book is a comprehensive overview of the state of the art on the modeling of the hierarchical organization of behavior in animals, and on its exploitation in robot controllers. The book perspective is highly interdisciplinary, featuring models belonging to all relevant areas, including machine learning, robotics, neural networks, and computational modeling in psychology and neuroscience. The book chapters review the authors' most recent contributions to the investigation of hierarchical behavior, and highlight the open questions and most promising research directions. As the contributing authors are among the pioneers carrying out fundamental work on this topic, the book covers the most important and topical issues in the field from a computationally informed, theoretically oriented perspective. The book will be of benefit to academic and industrial researchers and graduate students in related disciplines.

Reach a new stage in brief therapy

Is it possible for clinicians to provide in-depth therapy in the cost-conscious, time-limited world of managed care?

This groundbreaking book offers clinicians new hope of maintaining professional satisfaction in time-effective practice. Authors Bruce Ecker and Laurel Hulley provide a practical guide for clinicians on how to work deeply and briefly with individuals, couples, and families, and shows how to meet the challenge of managed care without losing the deeper levels of change traditionally associated with long-term or existential work.

By using Depth-Oriented Brief Therapy, you'll work directly and immediately with the emotional and unconscious meanings that structure the very existence of the presenting problem.

This volume is the most comprehensive reference book on community sentiment available. The classic book about community sentiment is Norm Finkel's "Commonsense Justice: Jurors' Notions of the Law" (1995). A similarly influential book called "Justice, Liability, and Blame" was published at the same time, examining lay sentiment about a variety of criminal issues and suggesting ways in which the substantive criminal law could be reformed in light of such lay responses (Robinson & Darley, 1995). Although these books were influential and important for their time (and since), this Handbook expands significantly on them, both by updating research since that time and broadens the scope of topic areas to ones that are not limited to trial and criminal justice issues. Each chapter is original/unpublished and focuses on an area related to children/families, many of which are "hot topic" areas in the news and courts today. For instance, the U.S. Supreme Court decided a case in June 2012 about the constitutionality of "life without parole" for juvenile offenders-a topic discussed in the Fass and Miora chapter. Thus, it is of interest to those interested in family law topics as well.

A comprehensive collection by Professor Cary Cooper and his colleagues in the field of workplace stress and wellbeing, which draws on research in a number of areas including stress-strain relationships, sources of workplace stress and stressful occupations. Volume 2 of 2.

Capstone projects have long been used in other disciplines but are now being seen within psychology courses. This textbook is a one-stop-shop for anyone looking to undertake a capstone project or other final project. In a friendly and collaborative style, this book guides the student through everything they need to know to ensure a successful capstone or other final project.