Killer Data examines the phenomenon of serial murder using data collected from international sources to review offender patterning with a focus on contemporary cases. This type of attention will allow for a broader understanding of modern-day serial murderers and will help to dispel some of the myths that surround offenders.

　The current serial murder classification scheme incorrectly types serial murderers as supremely intelligent killing machines while discounting their socialization, experiences, and choices. This book exposes serial murderers as run-of-the-mill hometown losers, who brutalize women, and are lucky to escape apprehension. Like other atypical homicide offenders, modern-day serial murderers are propelled forward by a deep sense of entitlement, easy access to firearms, and a nonchalant attitude toward using murder to attain their goals. Readers should come away with a deeper understanding not of the ultra-rare or the "deadliest" serial murderers but of the more common offenders who pose a consistent threat to day-to-day life. The book utilizes the Consolidated Serial Homicide Offender Database, one of the largest and most robust open access databases of multiple murders available, presenting new thinking on areas such as:

myths and stereotypes

the impact of entertainment on the perception of serial murder

inaccurate prevalence estimates

spree/serial hybrid offenders

the classification of two and three victim serial murderers

how serial murderers pursue longevity

the characteristics of aspiring serial murderers

whether hit men and gang members are serial murderers

if and why serial murder is in a state of decline

how many serial murderers are responsible for the homicides that sent innocent people to prison

luck as a factor of “success” for serial murderers.

These findings are illustrated with 200 narrative vignettes of serial murder series that occurred between 2011 and 2021, such as Itzcoatl Ocampo, Charles Severance, Nikko Jenkins, and Pamela Hupp, offenders who may be unfamiliar to many but represent the next iteration of the serial murderer.

　Correcting decades of flawed assumptions about serial murderers, and written in an accessible and concise style, Killer Data is essential reading for students and scholars of criminal justice and criminology, law enforcement professionals, and the interested general reader.

Table of Contents

List of Tables

List of Figures

Foreword

Preface

Acknowledgments

1: Serial Murder: Then and Now

Introduction

2: What Do We Know About Serial Murder and How Do We Know It?

3: Serial Murder: 2011 – 2021

4: An Overview of the Modern Serial Murderer

5: Concluding Thoughts

Index/

It is universally accepted that sensitive and responsive caregiving leads to positive cognitive and socio-emotional outcomes for children. While several intervention approaches exist, this text brings together the rationale and current evidence base for one such approach-the Mediational Intervention for Sensitizing Caregivers (MISC). MISC integrates aspects of socio-emotional health and cognitive development as well as being less culturally intrusive than existing approaches. It is a strengths-based program complementing existing practices and cultures. Editors bring together in one volume the theory and research from the last decade supporting the MISC approach. Chapters focus on a range of topics, such as training the trainer, maternal depression and MISC, applying MISC to families reunited after migration-related separation and more. The book also focuses on several country-specific cases, such as applying MISC to HIV/AIDS-affected children in South Africa or in early childhood care settings in Israel. This book is essential reading for those working in early educational or clinical settings tasked with developing policy to ensure optimal child developmental outcomes. The book is applicable to professionals from a wide variety of disciplines including clinical, counselling, educational, psychology, psychiatry, paediatrics, nursing, social work and public health.

In the eleventh edition of Understanding Research Methods: An Overview of the Essentials, Newhart and Patten leverage the principles of learning and content design to present the fundamentals students need to get started in research. Basics of quantitative and qualitative research are covered in short, independent topics and grouped into meaningful sections.

A perennial bestseller for over ten editions, Understanding Research Methods focuses concisely on key concepts, and lessons in topics that are "chunked" to suit today’s students. Each topic ends with suggestions for planning a research project by answering topic-specific prompts in a research planning journal. Topic Review exercises encourage active learning. Finally, Topics for Discussion suggest open-ended prompts that could serve as conversation starters in the classroom or online. The final Part of the book offers guidance and activities specific to writing a research report. This section can be used to support the development of project-based assignments for courses, or it can be used independently to support senior thesis projects, master’s theses, dissertations, or articles for publication.

Instructors, will appreciate the organization of Understanding Research Methods because it allows a great deal of customization and choice in which topics to cover and in what order to cover them, making it suitable for methodological training in a variety of courses and fields of study. Online digital materials support course development.

New to this edition:

Part introductions now include a part table of contents and list of keywords

Newly expanded coverage of qualitative research

New coverage on designing quantitative research

Expanded material on sampling

More simple graphs, charts, and illustrations emphasize and visualize Topic key points

Table of Contents

1. Introduction to Research Methods 2. Reading, Reviewing, and Citing Literature 3. Basic Concepts in Quantitative Research 4. Designing Quantitative Research 5. Assessing Research Quality: Validity and Reliability 6. Sampling for Quantitative Research 7. Analyzing Quantitative Data 8. Qualitative Research 9. Writing About Research

* It is a straightforward, conversational introduction to statistics that delivers exactly what its title promises. * Each chapter begins with a brief overview of a statistic that describes what the statistic does and when to use it, followed by a detailed step-by-step explanation of how the statistic works and exactly what information it provides. * Chapters also include an example of the statistic (or statistics) in use in real-world research, "Worked Examples," "Writing It Up" sections that demonstrate how to write about each statistic, "Wrapping Up and Looking Forward" sections, and practice work problems. * A new chapter on person-centered analyses, including cluster analysis and latent class analysis (LCA) has been added (Chapter 16). * Person-centered analysis is an important alternative to the more commonly used variable-centered analyses (e.g., t tests, ANOVA, regression) and is gaining popularity in social-science research. * The chapter on non-parametric statistics (Chapter 14) was enhanced significantly with in-depth descriptions of Mann-Whitney U, Kruskall-Wallace, and Wilcoxon Signed-Rank analyses. * These non-parametric statistics are important alternatives to statistics that rely on normally distributed data. * This new edition also includes more information about the assumptions of various statistics, including a detailed explanation of the assumptions and consequences of violating the assumptions of regression (Chapter 13). * There is more information provided about the importance of the normal distribution in statistics (Chapters 4 and 7). * Each of the last nine chapters includes an example from the real world of research that employs the statistic, or statistics, covered in the chapter. * Altogether, these improvements provide important foundational information about how inferential statistics work and additional statistical tools that are commonly used by researchers in the social sciences. * The text works as a standalone or as a supplement and covers a range of statistical concepts from descriptive statistics to factor analysis and person-centered analyses.

Offers a unified discussion of generalized linear models and correlated data methods Provides information suitable for graduate non-statistics majors or advanced undergraduate statistics majors Includes case studies with real data Offers material on R at the end of each chapter Provides a solutions manual

The author proposes an epistemological strategy to resolve controversial issues in the indigenous psychology (IP) movement. These include the nature of IPs, scientific standards, cultural concepts, philosophy of science, mainstream psychology, generalization of findings, and the isolation and independence of IPs. The approach includes a two-step strategy for construction of culture-inclusive theories, based on a Mandala model of self and a Face and Favor model for social interaction, and the use of these models to develop culture-inclusive theories for Confucian morphostasis. The author has successfully used this strategy, and encourages others to use it to construct their own culture-inclusive theories.

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.

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.

Understanding Quantitative and Qualitative Research in Psychology is the most hands-on, accessible and approachable guide to the entire research process, which fully explores both quantitative and qualitative methods to give students the knowledge and confidence they need.

Students are presented with a practically-focused guide to carrying out psychological research and are taken from formulating a research question through to collecting data, analysing datasets statistically with SPSS or qualitatively with a range of approaches, and finally presenting and thinking critically about research findings.

They are shown the importance of research ethics, and coverage of the replication crisis and the open science movement is considered throughout.

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.

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 Element describes noteworthy developments in cross-cultural psychology of the past half century. It stresses the author's involvement with the Journal of Cross-Cultural Psychology and the International Association for Cross-Cultural Psychology. It presents events in a decade-by-decade format, allowing brief discussion of high points in each decade, such as significant conferences and books, and commentaries on selected scholars. Topics include summaries of IACCP conferences, Online Readings in Psychology and Culture, IACCP Archives, and assessment of introductory psychology texts and their cultural content. Key aspects of culture-centered methodology in psychology and the teaching of culture-oriented psychology conclude the presentation.

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.

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.

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.

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.

Outcome Research and the Future of Psychoanalysis explores the connection between outcome studies and important and complex questions of clinical practices, research methodologies, epistemology, and sociological considerations. Presenting the ideas and voices of leading experts in clinical and extra-clinical research in psychoanalysis, the book provides an overview of the state of the art of outcome research, its results and implications. Furthermore, its contributions discuss the basic premises and ideas of outcome research and in which way the contemporary Zeitgeist might shape the future of psychoanalysis. Divided into three parts, the book begins by discussing the scientific basis of psychoanalysis and advances in psychoanalytic thinking as well as the state of the art of psychoanalytic outcome research, critically analyzing so-called evidence-based therapies. Part II of the book contains exemplary research projects that are discussed from a clinical perspective, illustrating the dialogue between researchers and clinicians. Lastly, in Part III, several psychoanalysts review the importance of critical thinking and research in psychoanalytical education. Thought-provoking and expertly written and researched, this book is a useful resource for academics, researchers and postgraduate students in the fields of mental health, psychotherapy, and psychoanalysis.

Understanding how our brains and bodies actually work is a powerful tool in mitigating the anxiety generated by unpleasant physical and emotional symptoms that we all may experience from time to time. Here, Robert Scaer unravels the complexities of the brain-body connection, equipping all those who are in distress with a plausible explanation for how they feel. Making the science accessible, he outlines the core neurobiological concepts underlying the brain-body interface and explains why physical and emotional symptoms of stress and trauma occur. He explains why "feelings" represent physical sensations that inform us about the nature of our brain-body conflicts. He also offers practical, easy-to-implement strategies for strengthening motor skills, learning to listen to our gut to gauge our feelings, attuning to the present, and restoring personal boundaries to relieve symptoms and navigate a path to recovery.

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.

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.

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.

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.

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.

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.

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.