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.

This book examines the principles and practice of authentic assessment. It seeks to answer the following questions. What is authentic assessment? How is authentic assessment different from 'performance assessment' or 'alternative assessment'? How can authentic assessment support learner-centred education, especially when a performance-oriented culture favours pen-and-paper examinations? The book is structured into two major parts. The first, 'Principles of authentic assessment design', provides readers with a conceptual explanation of authenticity; the principles for designing quality authentic assessments for valid evidence of student learning; and guidance about how to develop quality rubrics to structure assessment tasks. The second part of the book, 'Theory into practice' provides examples developed by teachers to demonstrate an understanding of authentic assessment. The subject areas covered include humanities, languages, mathematics, sciences, character and citizenship. Two case studies are discussed to demonstrate how authentic assessment can be used to comprehensively address key learning objectives in a variety of curriculum contexts. This book provides practitioners with concrete examples on how to develop authentic assessment to suit their context and also enhance their students' learning. The book will also enable teachers to face assessment challenges present in our changing world. Chapter 1 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com

Neuropsychology for Occupational Therapists is a bestselling, comprehensive guide to the assessment and rehabilitation of impaired cognitive function and brain damage. Divided into two parts, the first introduces the fundamental role cognition has in occupational performance, before moving on to examine the theoretical frameworks behind cognitive rehabilitation. The second part covers the key components of each cognitive function, including attention, visual perception, movement, memory, and executive functions, and the disorders associated with them. Revised throughout, this invaluable new edition includes: * Updated theory and evidence base of neuropsychology * Frameworks and guidelines for assessment and intervention in practice * Updated content on attention, memory and executive functions * A new chapter on cognitive function in later years, and working with people to maintain cognitive health. Written in a clear and engaging style by an experienced author team of academic occupational therapists, with contributions from expert practising clinicians, it is full of a range of learning features, including case studies, summaries, and reflective activities, as well as for the first time narratives of the lived experience of cognitive impairment. Neuropsychology for Occupational Therapists is essential reading for students, newly qualified practitioners, and all those who work within neuropsychology and cognitive rehabilitation.

* 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

*Accessible reference and text on a critical topic--testing pervades society, yet students find its core concepts challenging. *Class tested at two universities; the emphasis on conceptual understanding and application promotes critical thinking. *Flexible organization enables researchers and students to review the basics or delve into advanced concepts as needed. *Competing titles are pricey, dated, and not as reader friendly. *Examples and discussions walk readers through critical decisions in the selection, administration, scoring, interpretation, and development of measurement instruments.

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.

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.

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.

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.

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 book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use. Building on the author's previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics.

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.

Dokument aus dem Jahr 2009 im Fachbereich Psychologie - Methoden, Note: 1, Universitat Wien, Sprache: Deutsch, Abstract: Zeigten noch im Februar zahllose Diskussionen uber den Sinn und die Sinnlosigkeit heute die christliche Religion praktisch auszuuben, strenge Tendenzen zum konkreten Detail der - in der jeweiligen soziokulturellen Bevolkerungsgemeinschaft von Einwohnern mehrheitlich christlicher Lander ausgeubten ? jeweiligen religiosen Tatigkeit auf, so war vor Kurzem sein Fokus auf die Mitgliedschaft bei einer Usergroup zu Neukonzipierungsgedanken fur eine fachubergreifend tatige Psychotherapierichtung gerichtet. Als Leiter des Partikulogischen Instituts in Wien, weiss Leitha um die praktischen Tatigkeiten der Beteiligten so weit Bescheid, dass er sich bislang nur in Selbstveroffentlichungen und solchen uber Online-Verlage von wissenschaftlichen Texten zur offenen Frage der Registrierung des Interessensverbundes in einer gesetzlich anerkannten Form ausserte. Die praktischen Tatigkeiten ranken sich eher ganz unformell um das Abfassen von Arbeiten zu Tendenzen der sozialen Revolution in verschiedenen Zeitepochen, egal auf welcher Fakultat, immer im Wissen daruber, dass DER jeweilige TEXT SELBST eine Verbindung zwischen den Tatigkeiten der im Partikulogie-Institut zusammentreffenden Personen schafft. Es gibt zur Zeit im personellen Umfeld des Instituts einen mundlich gefuhrten Diskurs zur Relevanz von wissenschaftlichen Texten uber hebraischen Schriften in der Bibel, die durch Versmass, Reim und Wiederholung nach mundlicher Uberlieferung fur eine authentische schriftliche Uberlieferung sorgten, fur die wissenschaftliche Psychologie. Ein Beispiel: Der fruhe Israelitische Wiederholungs-Vortragsstil anhand des 3. Kapitels aus dem Buch ?Yahweh and The Gods of Canaan? von W. F. Albright: Im 13. Jahrhundert vor Christus entwickelten sich Poesie und Linguistik von Israel ubergangsmassig: ?Verschiedene Konsonanten wurden in Verbindung mit anderen Konsonanten gebracht

This Handbook provides a contemporary and research-informed review of the topics essential to clinical psychological assessment and diagnosis. It outlines assessment issues that cross all methods, settings, and disorders, including (but not limited to) psychometric issues, diversity factors, ethical dilemmas, validity of patient presentation, psychological assessment in treatment, and report writing. These themes run throughout the volume as leading researchers summarize the empirical findings and technological advances in their area. With each chapter written by major experts in their respective fields, the text gives interpretive and practical guidance for using psychological measures for assessment and diagnosis.

The field of psychometrics has a long and varied tradition across the social sciences. A range of academics have sought to understand human consciousness more fully by statistical testing our abilities, personalities, attitudes and beliefs. But perhaps the area where psychometric techniques have had most impact on contemporary society is in employee recruitment, where a range of psychometric tests have become common-place. Professor Peter Saville is one of the pioneers of adapting psychometric testing to the field of occupational psychology and human resource management. In a career of nearly 40 years, his work has been adopted by hundreds of public and private organizations, assessing the suitability of prospective candidates through a range of questionnaires and tests. In this anthology of his work, including both keynote conference address and journal papers, Saville provides a masterly overview of the field of psychometrics, and the key issues and questions that it raises. An ideal companion for any student or researcher of HRM, occupational or organizational psychology, or applied psychology in general, Peter Saville's selected works represent the thinking of one of the most influential psychologists of our time.

Robert Guion's best seller is now available in this new second edition. This noted book offers a comprehensive and practical view of assessment -based personnel decisions not available elsewhere in a single source. This edition more frankly evaluates the current research and practice and presents challenges that will change the basic thinking about staffing systems. This new edition suggests new directions for research and practice, includes emphasis on modern computers and technology useful in assessment, and pays more attention to prediction of individual growth and globalization challenges in the assessment process. The book will be of interest to faculty and students in Industrial Organizational psychology, human resource management and business. IO psychologists in private business and public sector organizations who have responsibilities for staffing and an interest in measurement and statistics will find this book useful.

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.

Acclaimed as a text and professional development tool, this user-friendly resource has now been revised and updated, and offers expanded coverage of collaborative action research (CAR) and participatory action research (PAR). Preservice and inservice educators get crucial step-by-step guidance for conducting classroom- and school-based studies to improve their instructional practices. Organized to mirror the full cycle of action research, the book provides balanced coverage of qualitative, quantitative, and mixed methods approaches. Vivid vignettes and examples illustrate research approaches for a range of teaching and learning situations, school subjects, and age groups (PreK-12). Readers learn how research approaches are driven by the research question, as well as how to develop data collection strategies; design and/or evaluate assessment tools; interpret, analyze, report, and implement study results; and design a new cycle of research that builds on the previous one. New to This Edition *In-depth descriptions of CAR and PAR--which enable groups of teachers to work together to solve problems in a classroom or school--plus examples of both throughout the book. *Expanded or new discussions (with examples) of such topics as how research approaches and methods are driven by the research question, how to assess different types of reliability and validity, the differences between analysis and interpretation, and how to use sequential cycles of research for continuous improvement and professional development. *Fully updated references and resources. Pedagogical Features *Both individual and group exercises and activities in every chapter. *New and updated checklists and guidelines that enable busy educators to self-assess the progress and quality of their studies. *Sample templates to assist in development of research instruments. *Example boxes illustrating the components of an action research report. *Summary tables highlighting key aspects of different research strategies. *Chapter summaries (now shorter for ease of use) and suggestions for further reading.

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.). This second edition has been completely revised to reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).

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.