The Comprehensive Resource Model

Traditional methods employed in psychotherapy have limited effectiveness when it comes to healing the psychological effects of trauma, in particular, complex trauma. While a client may seem to make significant breakthroughs in understanding their feelings and experiences on a rational level by talking with a therapist, this will make no difference to their post-traumatic symptoms if the midbrain is unable to modulate its activity in response. The Comprehensive Resource Model argues for a novel therapeutic approach, which uniquely bridges neuroscience and spirituality through a combination of somatic therapy, traditional psychotherapy, and indigenous healing concepts to provide effective relief to survivors of trauma. The Comprehensive Resource Model was developed in response to the need for a streamlined, integrative therapeutic model; one which engages a scaffolding of neurobiological resources in many brain structures simultaneously in order for clients to be fully embodied and conscious in the present moment while processing their traumatic material. All three phases of trauma therapy: resourcing, processing, and integration are done simultaneously. Demonstrating a nested model and employing brain and body-based physiological safety as the foundation of healing, chapters describe three primary categories of targeted processing: implicit and explicit survival terror, ‘Little T Truths’, and ‘Big T Truths’, all of which contribute to thorough healing of complex trauma and an expansion into higher states of consciousness and embodiment of the essential core self. This book describes the development and benefits of this pioneering new approach to trauma therapy. As such, it will be of key interest to academics, researchers and postgraduate students in the fields of psychiatry, psychotherapy, psychology and trauma studies. It will also appeal to practising therapists, psychiatrists, psychologists, psychiatric nurses, and to others involved in the treatment or management of patients with complex trauma disorders.

Traditional methods employed in psychotherapy have limited effectiveness when it comes to healing the psychological effects of trauma, in particular, complex trauma. While a client may seem to make significant breakthroughs in understanding their feelings and experiences on a rational level by talking with a therapist, this will make no difference to their post-traumatic symptoms if the midbrain is unable to modulate its activity in response. The Comprehensive Resource Model argues for a novel therapeutic approach, which uniquely bridges neuroscience and spirituality through a combination of somatic therapy, traditional psychotherapy, and indigenous healing concepts to provide effective relief to survivors of trauma. The Comprehensive Resource Model was developed in response to the need for a streamlined, integrative therapeutic model; one which engages a scaffolding of neurobiological resources in many brain structures simultaneously in order for clients to be fully embodied and conscious in the present moment while processing their traumatic material. All three phases of trauma therapy: resourcing, processing, and integration are done simultaneously. Demonstrating a nested model and employing brain and body-based physiological safety as the foundation of healing, chapters describe three primary categories of targeted processing: implicit and explicit survival terror, ‘Little T Truths’, and ‘Big T Truths’, all of which contribute to thorough healing of complex trauma and an expansion into higher states of consciousness and embodiment of the essential core self. This book describes the development and benefits of this pioneering new approach to trauma therapy. As such, it will be of key interest to academics, researchers and postgraduate students in the fields of psychiatry, psychotherapy, psychology and trauma studies. It will also appeal to practising therapists, psychiatrists, psychologists, psychiatric nurses, and to others involved in the treatment or management of patients with complex trauma disorders.

The Comprehensive Resource for Designing and Implementing MSG Processes As organizations strive to make the best possible decisions on critical issues such as compensation, succession planning, staffing, and outplacement, they have increasingly turned to multisource feedback (MSF) for answers. But while use of MSF (or 360-degree) systems has proliferated rapidly, understanding of its complexities has not3/4and many companies are moving forward with MSF amid a dangerous void of systematic research and discussion on this powerful process. The Handbook of Multisource Feedback provides the most comprehensive compendium available of current knowledge and practice in MSF. The volume's diverse group of contributors3/4which includes renowned academics, practitioners, and applied researchers3/4represents the acknowledged thought leaders in the current and future practice of MSF. Through their multiple perspectives, they identify best practices in the design and implementation of MSF processes and offer key guidelines for decision making when using MSF. The book offers solid grounding in the nuts and bolts of MSF data collection and reporting, providing a process model that leads the reader step-by-step through each phase of an MSF system. It details the developmental and decision-making uses of multisource feedback, describing MSF applications for improving executive development, organization development and change, teams, performance management, personnel decision, and more. And it addresses the realities of system forces that influence MSF processes, including legal, ethical, and cross-cultural issues. The Handbook of Multisource Feedback will provide an ideal one-stop reference for practitioners, researchers, consultants, and organizational clients who need to understand the challenges of using multisource feedback. The Editors David W. Bracken, is director of research consulting at Mercer Delta Consulting group, LLC. His twenty-two years of practice have included multisource feedback systems, individual and organizational assessments, performance management, and management development. Carol W. Timmreck, is an organization development consultant at Shell Oil Company. She is a cofounder of the Multisource Feedback Forum, a consortium of organizations with active MSF processes. Allen H. Church, is a principal consultant in management consulting services at PricewaterhouseCoopers, specializing in multisource feedback systems and organizational surveys. He is also an adjunct professor at Columbia University. The complete guide to MSF systems Handbook of Multisource Feedback offers a comprehensive, multiperspective look at the most current knowledge and practice in multisource feedback (MSF) systems. Drawing from extensive research and practice, a diverse group of distinguished contributors presents the "best practices" in the field and offers pragmatic guidelines for decision making at each step of design and implementation of an MSF process. Contributors include: David Antonioni Leanne E. Atwater H. John Bernardin Scott A. Birkeland Walter C. Borman David W. Bracken Stephane Brutus W. Warner Burke Allan H. Church Jeanette N. Cleveland Victoria B. Crawshaw Anthony T. Dalessio Maxine A. Dalton Mark R. Edwards Ann J. Ewen James L. Farr John W. Fleenor Marshall Goldsmith Glenn Hallam Michael M. Harris Sally F. Hartmann Jerry W. Hedge Laura Heft Mary Dee Hicks George P. Hollenbeck Robert A. Jako Richard Lepsinger Jean Brittain Leslie Manuel London Anntoinette D. Lucia Dana McDonald-Mann Carolyn J. Mohler Kevin R. Murphy Daniel A. Newman David B. Peterson Steven G. Rogelberg James W. Smither Jeffrey D. Stoner Lynn Summers Carol W. Timmreck Carol Paradise Tornow Walter W. Tornow Catherine L. Tyl

Print+CourseSmart

This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling options are available for which hypotheses. The author demonstrates how SEM is related to other longitudinal data techniques throughout. By exploring connections between models, readers gain a better understanding of when to choose one analysis over another. The book explores basic models to sophisticated ones including the statistical and conceptual underpinnings that are the building blocks of the analyses. Accessibly written, research examples from the behavioral and social sciences and results interpretations are provided throughout. The emphasis is on concepts and practical guidance for applied research rather than on mathematical proofs. New terms are highlighted and defined in the glossary. Figures are included for every model along with detailed discussions of model specification and implementation issues. Each chapter also includes examples of each model type, comment sections that provide practical guidance, model extensions, and recommended readings. Highlights include: Covers the major SEM approaches to longitudinal analysis in one resource. Explores connections between longitudinal SEM models to enhance integration. Numerous examples that help readers match research questions to appropriate analyses and interpret results. Reviews practical issues related to model specification and estimation to reinforce connections. Analyzes continuous and discrete (binary and ordinal) variables throughout for breadth not found in other sources. Reviews key SEM concepts for those who need a refresher (Ch. 1). Emphasizes how to apply and interpret each model through realistic data examples. Provides the book’s data sets at www.longitudinalsem.com along with the Mplus and R-lavaan syntax used to generate the results. Introduces the LISREL notation system used throughout (Appendix A). The chapters can be read out of order but it is best to read chapters 1 – 4 first because most of the later chapters refer back to them. The book opens with a review of latent variables and analysis of binary and ordinal variables. Chapter 2 applies this information to assessing longitudinal measurement invariance. SEM tests of dependent means and proportions over time points are explored in Chapter 3, and stability and change, difference scores, and lagged regression are covered in Chapter 4. The remaining chapters are each devoted to one major type of longitudinal SEM -- repeated measures analysis models, full cross-lagged panel models and simplex models, modeling stability with state-trait models, linear and nonlinear growth curve models, latent difference score models, latent transition analysis, time series analysis, survival analysis, and attrition. Missing data is discussed in the context of many of the preceding models in Chapter 13. Ideal for graduate courses on longitudinal (data) analysis, advanced SEM, longitudinal SEM, and/or advanced data (quantitative) analysis taught in the behavioral, social, and health sciences, this text also appeals to researchers in these fields. Intended for those without an extensive math background, prerequisites include familiarity with basic SEM. Matrix algebra is avoided in all but a few places.

In his first complete text on the ADKAR model, Jeff Hiatt explains the origin of the model and explores what drives each building block of ADKAR. Learn how to build awareness, create desire, develop knowledge, foster ability and reinforce changes in your organization. The ADKAR Model is changing how we think about managing the people side of change, and provides a powerful foundation to help you succeed at change.

In this text, practical strategies, techniques, and examples are used to show how spirituality can influence each stage of treatment from before the clinical intake, starting with an understanding of ethical practice guidelines and therapist self-awareness, through termination.

This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by the author, facilitates QCA within a graphical user interface. This book provides the most current information on the latest version of the QCA package, which combines written commands with a cross-platform interface. Beginning with a brief introduction to the concept of QCA, this book moves from theory to calibration, from analysis to factorization, and hits on all the key areas of QCA in between. Chapters one through three are introductory, familiarizing the reader with R, the QCA package, and elementary set theory. The next few chapters introduce important applications of the package beginning with calibration, analysis of necessity, analysis of sufficiency, parameters of fit, negation and factorization, and the construction of Venn diagrams. The book concludes with extensions to the classical package, including temporal applications and panel data. Providing a practical introduction to an increasingly important research tool for the social sciences, this book will be indispensable for students, scholars, and practitioners interested in conducting qualitative research in political science, sociology, business and management, and evaluation studies.