Mo Wang – författare

As the Baby Boom generation approaches traditional retirement age, the aging of the global labor force will continue to lead to an increase in the number of people who will transition into retirement in the next decade. Retirement researchers have made several important advances in their field in recent years that represent a shift from examining retirement through an economic to a psychological perspective. Retirement is not simply a one-time decision-making event; rather, it represents a process through which workers decrease their psychological commitment to work and behaviorally withdraw from the workforce.Approaching retirement from this perspective, The Oxford Handbook of Retirement offers comprehensive, up-to-date, and forward-thinking summaries of contemporary knowledge on retirement. The approach is interdisciplinary, spanning human resource management, organizational psychology, development psychology, gerontology, sociology, public health, and economics. The chapters assembled in this volume are organized into five parts, providing comprehensive coverage conceptualizations of retirement from multiple disciplines; existing theoretical perspectives and research findings on retirement, including adult development, career development, organizational and management, and economic perspectives; current and future challenges in retirement research and practice; and recommendations and suggestions for prospective areas of research.Assembling expertly authored chapters from leaders in the field, this volume provides a comprehensive summary on the knowledge domain of retirement useful for students, academics, and retirement researchers.

This new book looks at the unique career issues faced by those workers in their mid and late career stages, particularly with regard to the psychosocial dynamics of mid and late careers. With the growth in aging workers worldwide, we need a deeper understanding of the unique challenges and issues as well as the practical implications related to the shifting demographics to an older workforce, particularly the aging of the baby boom generation. This book reviews, summarizes and integrates the literature on a wide variety of issues and organizational realities related to these workers. Numerous case studies based on one-on-one interviews with older workers and recent retirees provides illustrative examples of the key concepts discussed in each chapter. Students, researchers, and professionals in industrial organizational psychology, human resource management, developmental psychology, vocational psychology and gerontology will find this authoritative book of interest.

This new book looks at the unique career issues faced by those workers in their mid and late career stages, particularly with regard to the psychosocial dynamics of mid and late careers. With the growth in aging workers worldwide, we need a deeper understanding of the unique challenges and issues as well as the practical implications related to the shifting demographics to an older workforce, particularly the aging of the baby boom generation. This book reviews, summarizes and integrates the literature on a wide variety of issues and organizational realities related to these workers. Numerous case studies based on one-on-one interviews with older workers and recent retirees provides illustrative examples of the key concepts discussed in each chapter. Students, researchers, and professionals in industrial organizational psychology, human resource management, developmental psychology, vocational psychology and gerontology will find this authoritative book of interest.

Research Methods in Occupational Health Psychology: Measurement, Design, and Data Analysis provides a state-of-the-art review of current issues and best practices in the science of Occupational Health Psychology. Occupational Health Psychology (OHP) is a multidisciplinary and rapidly growing area of research and it is difficult or impossible for researchers to keep up with developments in all of the fields where scholars conduct OHP science. This book will help OHP scholars improve their own research by translating recent innovations in methodology into sets of concrete recommendations that will help scholars improve their own research as well as their training of future researchers.

This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams.To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology.Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams.To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology.Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Research Methods in Occupational Health Psychology: Measurement, Design, and Data Analysis provides a state-of-the-art review of current issues and best practices in the science of Occupational Health Psychology. Occupational Health Psychology (OHP) is a multidisciplinary and rapidly growing area of research and it is difficult or impossible for researchers to keep up with developments in all of the fields where scholars conduct OHP science. This book will help OHP scholars improve their own research by translating recent innovations in methodology into sets of concrete recommendations that will help scholars improve their own research as well as their training of future researchers.

This book investigates the most common approach to assessing behavior in youth development. It explores use of multiple informants who each observe youth in the social contexts that typify their everyday lives, including parents, teachers, peers, and youth themselves. The volume characterizes the most common outcome from taking this assessment approach — the discrepant results or estimates about behavior that informants’ reports often produce. Grounded in the Operations Triad Model — the foundational framework for contemporary scholarship about discrepant results — this book focuses on strategies that discrepant results compel scholars to implement, namely strategies for integrating these results. The book highlights that the integrative strategies scholars have historically used prevent them from capitalizing on the valid data that discrepant results often contain. This authoritative, thoroughly resourced, and methodologically rigorous book provides readers with integrative strategies that align with scholarship in youth development. In doing so, the book provides readers with a paradigm for testing competing data integration strategies, using a sophisticated suite of Monte Carlo Simulation and measurement validation tools that are applicable to a host of assessment scenarios in scholarship on youth development.Key areas of coverage include:Use of multiple informants to assess behavior in youth development.The frequent observation of discrepant results when assessing behavior in youth development.Theoretical models for explaining discrepant results in behavior assessments and how they inform strategies for integrating assessment data.Key distinctions in the assumptions that underlie the use of competing integrative strategies.Application of Monte Carlo Simulation strategies for testing competing integrative strategies.Implementation of measurement validation strategies that put competing integrative strategies to the test, within data conditions that typify research in youth development.Youth Development in Context is an essential resource for researchers, professors, graduate students as well as clinicians, therapists, and other professionals in developmental psychology, social work, public health, pediatrics, family studies, child and adolescent psychiatry, school and educational psychology, and all interrelated disciplines.This book investigates the most common approach to assessing behavior in youth development. It explores use of multiple informants who each observe youth in the social contexts that typify their everyday lives, including parents, teachers, peers, and youth themselves. The volume characterizes the most common outcome from taking this assessment approach — the discrepant results or estimates about behavior that informants’ reports often produce. Grounded in the Operations Triad Model — the foundational framework for contemporary scholarship about discrepant results — this book focuses on strategies that discrepant results compel scholars to implement, namely strategies for integrating these results. The book highlights that the integrative strategies scholars have historically used prevent them from capitalizing on the valid data that discrepant results often contain. This authoritative, thoroughly resourced, and methodologically rigorous book provides readers with integrative strategies that align with scholarship in youth development. In doing so, the book provides readers with a paradigm for testing competing data integration strategies, using a sophisticated suite of Monte Carlo Simulation and measurement validation tools that are applicable to a host of assessment scenarios in scholarship on youth development.Key areas of coverage include:Use of multiple informants to assess behavior in youth development.The frequent observation of discrepant results when assessing behavior in youth development.Theoretical models for explaining discrepant results in behavior assessments and how they inform strategies for integrating assessment data.Key distinctions in the assumptions that underlie the use of competing integrative strategies.Application of Monte Carlo Simulation strategies for testing competing integrative strategies.Implementation of measurement validation strategies that put competing integrative strategies to the test, within data conditions that typify research in youth development.Youth Development in Context is an essential resource for researchers, professors, graduate students as well as clinicians, therapists, and other professionals in developmental psychology, social work, public health, pediatrics, family studies, child and adolescent psychiatry, school and educational psychology, and all interrelated disciplines.