Structural Equation Modeling for Health and Medicine Book PDF

Structural Equation Modeling for Health and Medicine

  • Author : Douglas D. Gunzler
  • Publisher : CRC Press
  • Release Date : 2021-04-12
  • Genre : Mathematics
  • Pages : 319
  • ISBN : 9781351329712

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Structural Equation Modeling for Health and Medicine Book Description :

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

Structural Equation Modeling for Health and Medicine Book PDF

Structural Equation Modeling for Health and Medicine

  • Author : Douglas D. Gunzler
  • Publisher : CRC Press
  • Release Date : 2021-04-12
  • Genre : Mathematics
  • Pages : 299
  • ISBN : 9781351329729

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Structural Equation Modeling for Health and Medicine Book Description :

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

Structural Equation Modeling Book PDF

Structural Equation Modeling

  • Author : Sik-Yum Lee
  • Publisher : John Wiley & Sons
  • Release Date : 2007-04-04
  • Genre : Mathematics
  • Pages : 458
  • ISBN : 9780470024249

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Structural Equation Modeling Book Description :

***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Structural Equation Modeling introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject’s recent advances. Demonstrates how to utilize powerful statistical computing tools, including the Gibbs sampler, the Metropolis-Hasting algorithm, bridge sampling and path sampling to obtain the Bayesian results. Discusses the Bayes factor and Deviance Information Criterion (DIC) for model comparison. Includes coverage of complex models, including SEMs with ordered categorical variables, and dichotomous variables, nonlinear SEMs, two-level SEMs, multisample SEMs, mixtures of SEMs, SEMs with missing data, SEMs with variables from an exponential family of distributions, and some of their combinations. Illustrates the methodology through simulation studies and examples with real data from business management, education, psychology, public health and sociology. Demonstrates the application of the freely available software WinBUGS via a supplementary website featuring computer code and data sets. Structural Equation Modeling: A Bayesian Approach is a multi-disciplinary text ideal for researchers and students in many areas, including: statistics, biostatistics, business, education, medicine, psycholog

Essential Statistical Methods for Medical Statistics Book PDF

Essential Statistical Methods for Medical Statistics

  • Author : J. Philip Miller
  • Publisher : Elsevier
  • Release Date : 2010-11-08
  • Genre : Mathematics
  • Pages : 368
  • ISBN : 0444537384

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Essential Statistical Methods for Medical Statistics Book Description :

Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. · Contributors are internationally renowned experts in their respective areas · Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research · Methods for assessing Biomarkers, analysis of competing risks · Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs · Structural equations modelling and longitudinal data analysis

Epidemiology and Medical Statistics Book PDF

Epidemiology and Medical Statistics

  • Author : Anonim
  • Publisher : Elsevier
  • Release Date : 2007-11-21
  • Genre : Mathematics
  • Pages : 870
  • ISBN : 0080554210

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Epidemiology and Medical Statistics Book Description :

This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant. · Contributors are internationally renowned experts in their respective areas · Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research · Methods for assessing Biomarkers, analysis of competing risks · Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs · Structural equations modelling and longitudinal data analysis

Latent Variable Models Book PDF

Latent Variable Models

  • Author : John C. Loehlin
  • Publisher : Taylor & Francis
  • Release Date : 2016-12-07
  • Genre : Psychology
  • Pages : 376
  • ISBN : 9781317285281

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Latent Variable Models Book Description :

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models. This approach helps less mathematically-inclined readers to grasp the underlying relations among path analysis, factor analysis, and structural equation modeling, and to set up and carry out such analyses. This revised and expanded fifth edition again contains key chapters on path analysis, structural equation models, and exploratory factor analysis. In addition, it contains new material on composite reliability, models with categorical data, the minimum average partial procedure, bi-factor models, and communicating about latent variable models. The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds. Notes at the end of each chapter expand the discussion and provide additional technical detail and references. Moreover, most chapters contain an extended example in which the authors work through one of the chapter’s examples in detail to aid readers in conducting similar analyses with their own data. The book and accompanying website provide all of the data for the book’s examples as well as syntax from latent variable programs so readers can replicate the analyses. The book can be used with any of a variety of computer programs, but special attention is paid to LISREL and R. An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences, education, business, and health sciences, Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables.

Longitudinal Data Analysis Book PDF

Longitudinal Data Analysis

  • Author : Jason Newsom
  • Publisher : Routledge
  • Release Date : 2013-06-19
  • Genre : Psychology
  • Pages : 405
  • ISBN : 9781136705465

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Longitudinal Data Analysis Book Description :

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and ot

Assessing Competence in Medicine and Other Health Professions Book PDF

Assessing Competence in Medicine and Other Health Professions

  • Author : Claudio Violato
  • Publisher : CRC Press
  • Release Date : 2018-12-07
  • Genre : Medical
  • Pages : 420
  • ISBN : 9780429761836

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Assessing Competence in Medicine and Other Health Professions Book Description :

This comprehensive, yet accessible, text demystifies the challenging area of competence assessement in medicine and the health sciences, providing a clear framework and the tools for anyone working or studying in this area. Written by a single, highly experienced, author, the content benefits from uniformity of style and is supported and enhanced by a range of pedagogic features including cases, questions and summaries. Essential reading for all students and practitioners of medical education, it will also be an invaluable guide for allied health professionals and psychologists with a general interest in assessment, evaluation and measurement and a useful library reference.

A First Course in Structural Equation Modeling Book PDF

A First Course in Structural Equation Modeling

  • Author : Tenko Raykov
  • Publisher : Routledge
  • Release Date : 2012-08-21
  • Genre : Business & Economics
  • Pages : 248
  • ISBN : 9781135600761

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A First Course in Structural Equation Modeling Book Description :

In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software. Highlights of the Second Edition include: • Review of latent change (growth) analysis models at an introductory level • Coverage of the popular Mplus program • Updated examples of LISREL and EQS • Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples. A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.

Issues in Orthopedics and Occupational and Sports Medicine  2011 Edition Book PDF

Issues in Orthopedics and Occupational and Sports Medicine 2011 Edition

  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release Date : 2012-01-09
  • Genre : Medical
  • Pages : 3196
  • ISBN : 9781464963599

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Issues in Orthopedics and Occupational and Sports Medicine 2011 Edition Book Description :

Issues in Orthopedics and Occupational and Sports Medicine: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Orthopedics and Occupational and Sports Medicine. The editors have built Issues in Orthopedics and Occupational and Sports Medicine: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Orthopedics and Occupational and Sports Medicine in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Orthopedics and Occupational and Sports Medicine: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Basic and Advanced Bayesian Structural Equation Modeling Book PDF

Basic and Advanced Bayesian Structural Equation Modeling

  • Author : Sik-Yum Lee
  • Publisher : John Wiley & Sons
  • Release Date : 2012-07-05
  • Genre : Mathematics
  • Pages : 400
  • ISBN : 9781118358870

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Basic and Advanced Bayesian Structural Equation Modeling Book Description :

This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing. Introduces the Bayesian approach to SEMs, including discussion on the selection of prior distributions, and data augmentation. Demonstrates how to utilize the recent powerful tools in statistical computing including, but not limited to, the Gibbs sampler, the Metropolis-Hasting algorithm, and path sampling for producing various statistical results such as Bayesian estimates and Bayesian model comparison statistics in the analysis of basic and advanced SEMs. Discusses the Bayes factor, Deviance Information Criterion (DIC), and $L_\nu$-measure for Bayesian model comparison. Introduces a number of important generalizations of SEMs, including multilevel and mixture SEMs, latent curve models and longitudinal SEMs, semiparametric SEMs and those with various types of discrete data, and nonparametric structural equations. Illustrates how to use the freely available software WinBUGS to produce the results. Provides nu

Integrating Complementary Medicine Into Health Systems Book PDF

Integrating Complementary Medicine Into Health Systems

  • Author : Nancy Faass
  • Publisher : Jones & Bartlett Learning
  • Release Date : 2001
  • Genre : Medical
  • Pages : 763
  • ISBN : 0834212161

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Integrating Complementary Medicine Into Health Systems Book Description :

Comprehensive and in-depth guide provides the expertise of more than 100 of the nation's top professionals.

Evidence Based Health Care Management Book PDF

Evidence Based Health Care Management

  • Author : Thomas T.H. Wan
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre : Business & Economics
  • Pages : 233
  • ISBN : 9781461507956

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Evidence Based Health Care Management Book Description :

Evidence-Based Health Care Management introduces the principles and methods for drawing sound causal inferences in research on health services management. The emphasis is on the application of structural equation modeling techniques and other analytical methods to develop causal models in health care management. Topics include causality, theoretical model building, and model verification. Multivariate modeling approaches and their applications in health care management are illustrated. The primary goals of the book are to present advanced principles of health services management research and to familiarize students with the multivariate analytic methods and procedures now in use in scientific research on health care management. The hope is to help health care managers become better equipped to use causal modeling techniques for problem solving and decision making. Evidence-based knowledge is derived from scientific replication and verification of facts. Used consistently and appropriately, it enables a health care manager to improve organizational performance. Causal inference in health care management is a highly feasible approach to establishing evidence-based knowledge that can help navigate an organization to high performance. This book introduces the principles and methods for drawing causal inferences in research on health services management.

Analysis of Mixed Data Book PDF

Analysis of Mixed Data

  • Author : Alexander R. de Leon
  • Publisher : CRC Press
  • Release Date : 2013-01-16
  • Genre : Mathematics
  • Pages : 262
  • ISBN : 9781439884720

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Analysis of Mixed Data Book Description :

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and

Healthcare Technology Innovation Adoption Book PDF

Healthcare Technology Innovation Adoption

  • Author : Tugrul U. Daim
  • Publisher : Springer
  • Release Date : 2016-02-27
  • Genre : Business & Economics
  • Pages : 249
  • ISBN : 9783319179759

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Healthcare Technology Innovation Adoption Book Description :

This book aims to study the factors effecting the adoption and diffusion of Health Information Technology (HIT) innovation. It analyses the adoption processes of various tools and applications, particularly Electronic Health Records (EHR), highlighting the impact on various sectors of the healthcare system, such as physicians, administration and patient care, while also identifying the various pitfalls and gaps in the literature. With the various challenges currently facing the United States healthcare system, the study, adoption and diffusion of healthcare technology innovation, particularly HIT, is imperative to achieving national goals. This book is organized into three sections. Section one reviews theories and applications for the diffusion of Health Care Technologies. Section two evaluates EHR technology, including the barriers and enables in adoption and alternative technologies. Finally, section three examines the factors impacting the adoption of EHR systems. This book will be a key source for students, academics, researchers, practitioners, professionals and policy-makers.

Latent Variable Modeling with R Book PDF

Latent Variable Modeling with R

  • Author : W. Holmes Finch
  • Publisher : Routledge
  • Release Date : 2015-06-26
  • Genre : Psychology
  • Pages : 322
  • ISBN : 9781317970767

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Latent Variable Modeling with R Book Description :

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting the analyses is described along with the resulting output which provides readers with a template to follow when they apply the methods to their own data. The basic information pertinent to each model, the newest developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested readings. A glossary of the text’s boldfaced key terms and key R commands serve as helpful resources. The book is accompanied by a website with exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data providing a more realistic situation readers will encounter with their own data. -Reviews a wide range of LVMs including factor analysis, structural equation modeling, item response theory, and mixture models and advanced topics such as fitting nonlinear structural equation models, nonparametric item response theory models, and mixture regression models. -Demonstrates how data simulation can help researchers better understand statistical methods and assist in selecting the necessary sample size prior to collecting data. -www.routledge.com/9780415832458 provides exercises that apply the models along with annotated R output answer keys and the data that corresponds to the in-text examples so readers can replicate the results and check their work. The book opens with basic instructions in how to use R to read data, download functions, and conduct b

Foundations of Evidence Based Medicine Book PDF

Foundations of Evidence Based Medicine

  • Author : Milos Jenicek
  • Publisher : CRC Press
  • Release Date : 2019-08-16
  • Genre : Medical
  • Pages : 344
  • ISBN : 9780429582455

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Foundations of Evidence Based Medicine Book Description :

Presenting a range of topics seldom seen in a single resource, this fully revised edition continues to explore the principles of formal logic as applied to clinical problems with an increased emphasis on the fundamental relationship between EBM and clinical epidemiology. The book contains accounts and references to aid the reader gain a fuller understanding of the principles that underlie EBM and the evolving roles of public health and clinical epidemiology in modern medicine. The innovative blend of informal logic and structured evidence-based reasoning makes this book invaluable for anyone seeking broad, comprehensive and readable coverage of this complex and sometimes controversial field.

Contemporary Consumer Health Informatics Book PDF

Contemporary Consumer Health Informatics

  • Author : Nilmini Wickramasinghe
  • Publisher : Springer
  • Release Date : 2016-03-21
  • Genre : Medical
  • Pages : 465
  • ISBN : 9783319259734

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Contemporary Consumer Health Informatics Book Description :

This innovative reference examines how consumer health informatics (CHI) can transform healthcare systems stressed by staffing shortages and budget constraints and challenged by patients taking a more active role in their care. It situates CHI as vital to upgrading healthcare service delivery, detailing the relationship between health information technologies and quality healthcare, and outlining what stakeholders need to learn for health IT systems to function effectively. Wide-ranging content identifies critical issues and answers key questions at the consumer, practitioner, administration, and staff levels, using examples from diverse conditions, countries, technologies, and specialties. In this framework, the benefits of CHI are seen across service domains, from individual patients and consumers to healthcare systems and global health entities. Included in the coverage: Use of video technology in an aged care environment A context-aware remote health monitoring service for improved patient care Accessibility issues in interoperable sharing of electronic health records: physician’s perspective Managing gestational diabetes with mobile web-based reporting of glucose readings An organizing vision perspective for developing and adopting e-health solutions An ontology of consumer health informatics Contemporary Consumer Health Informatics combines blueprint and idea book for public health and health informatics students, healthcare professionals, physicians, medical administrators, managers, and IT practitioners.

The Routledge International Handbook of Military Psychology and Mental Health Book PDF

The Routledge International Handbook of Military Psychology and Mental Health

  • Author : Updesh Kumar
  • Publisher : Routledge
  • Release Date : 2019-12-20
  • Genre : Psychology
  • Pages : 558
  • ISBN : 9781000760538

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The Routledge International Handbook of Military Psychology and Mental Health Book Description :

Military psychology has become one of the world’s fastest-growing disciplines with ever-emerging new applications of research and development. The Routledge International Handbook of Military Psychology and Mental Health is a compendium of chapters by internationally renowned scholars in the field, bringing forth the state of the art in the theory, practice and future prospects of military psychology. This uniquely interdisciplinary volume deliberates upon the current issues and applications of military psychology not only within the military organization and the discipline of psychology, but also in the larger context of its role of building a better world. Split into three parts dedicated to specific themes, the first part of the book, "Military Psychology: The Roots and the Journey," provides an overview of the evolution of the discipline over the years, delving into concepts as varied as culture and cognition in the military, a perspective on the role of military psychology in future warfare and ethical issues. The second part, "Soldiering: Deployment and Beyond," considers the complexities involved in soldiering in view of the changing nature of warfare, generating a focal discourse on various aspects of military leadership, soldier resilience and post-traumatic growth in the face of extreme situations, bravery and character strengths and transitioning to civilian life. In the final section, "Making a Choice: Mental Health Issues and Prospects in the Military," the contributors focus on the challenges and practices involved in maintaining the mental health of the soldier, covering issues ranging from stress, mental health and well-being, through to suicide risk and its prevention, intervention and management strategies, moral injury and post-traumatic stress disorder. Incorporating enlightening contributions of eminent scholars from around the world, the volume is a comprehensive repository of current perspectives and future directions in the domain of milita