Ageism, second edition


Book Description

Current research and theory from a range of disciplines on ageism, discussing issues from elder abuse to age discrimination against workers, revised and updated. People commonly use age to categorize and stereotype others–even though those who stereotype the elderly are eventually bound to become elderly themselves. Ageism is found cross-culturally, but it is especially prevalent in the United States, where most people regard growing older with depression, fear, and anxiety. Older people in the United States are stigmatized and marginalized, with often devastating consequences. This volume collects the latest theory and research on prejudice against older people, offering perspectives from psychology, nursing, medicine, social work, and other fields. The second edition has been completely updated, with new or extensively revised contributions. The contributors, all experts in their fields, consider issues that range from elder abuse to age discrimination against workers. There has been a relative dearth of research on ageism, perhaps because age prejudice is still considered socially acceptable. This book is still the only one that examines ageism in such detail, from such diverse scholarly perspectives. The contributors discuss the origins and effects of ageism and offer suggestions for how to reduce ageism as the wave of baby boomers heads for old age. Contributors Yoav S. Bergman, Ehud Bodner, Jennifer Barbour, Piers Bayl-Smith, Daphne Blunt Bugental, Maria Clara P. de Paula Couto, Susan T. Fiske, Jeff Greenberg, Barbara Griffin, Jessica A. Hehman, Peter Helm, Sarah H. Kagan, Molly Maxfield, Lynn McDonald, Mary Chase Mize, Joann M. Montepare, Todd D. Nelson, Michael S. North, Amanda Rumsey, Jeff Schimel, Laura Shannonhouse, Dirk Wentura, Susan Krauss Whitbourne




Ageism


Book Description

Current findings on the origins and effects of ageism, as well as ways to reduce it.




Social Epidemiology


Book Description

This book shows the important links between social conditions and health and begins to describe the processes through which these health inequalities may be generated. It reviews a range of methodologies that could be used by health researchers in this field and proposes innovative future research directions.







AI and Machine Learning Paradigms for Health Monitoring System


Book Description

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.




Phys21


Book Description

A report by the Joint Task Force on Undergraduate Physics Programs




Integrative Framing Analysis


Book Description

Much of framing scholarship focuses either exclusively on the analysis of words or of visuals. This book aims to address this gap by proposing a six-step approach to the analysis of verbal frames, visual frames and the interplay between them—an integrative framing analysis. This approach is then demonstrated through a study investigating the way words and visuals are used to frame people living with HIV/AIDS in various communication contexts: the news, public service announcements and special interest publications. This application of integrative framing analysis reveals differences between verbal frames and visual frames in the same messages, underscoring the importance of looking at these frames together.




Adults As Learners


Book Description




Multimedia Projects in Education


Book Description

This practical text introduces the user to a model process (decide, develop and evaluate) for producing multimedia projects in the classroom.




Best Practices in Exploratory Factor Analysis


Book Description

Best Practices in Exploratory Factor Analysis (EFA) is a practitioner-oriented look at this popular and often-misunderstood statistical technique. We avoid formulas and matrix algebra, instead focusing on evidence-based best practices so you can focus on getting the most from your data.Each chapter reviews important concepts, uses real-world data to provide authentic examples of analyses, and provides guidance for interpreting the results of these analysis. Not only does this book clarify often-confusing issues like various extraction techniques, what rotation is really rotating, and how to use parallel analysis and MAP criteria to decide how many factors you have, but it also introduces replication statistics and bootstrap analysis so that you can better understand how precisely your data are helping you estimate population parameters. Bootstrap analysis also informs readers of your work as to the likelihood of replication, which can give you more credibility. At the end of each chapter, the author has recommendations as to how to enhance your mastery of the material, including access to the data sets used in the chapter through his web site. Other resources include syntax and macros for easily incorporating these progressive aspects of exploratory factor analysis into your practice. The web site will also include enrichment activities, answer keys to select exercises, and other resources. The fourth "best practices" book by the author, Best Practices in Exploratory Factor Analysis continues the tradition of clearly-written, accessible guides for those just learning quantitative methods or for those who have been researching for decades.NEW in August 2014! Chapters on factor scores, higher-order factor analysis, and reliability. Chapters: 1 INTRODUCTION TO EXPLORATORY FACTOR ANALYSIS 2 EXTRACTION AND ROTATION 3 SAMPLE SIZE MATTERS 4 REPLICATION STATISTICS IN EFA 5 BOOTSTRAP APPLICATIONS IN EFA 6 DATA CLEANING AND EFA 7 ARE FACTOR SCORES A GOOD IDEA? 8 HIGHER ORDER FACTORS 9 AFTER THE EFA: INTERNAL CONSISTENCY 10 SUMMARY AND CONCLUSIONS