A time-tested, landmark approach to health promotion and communication projects and everything that goes into making them successful. For more than 40 years, the PRECEDE-PROCEED model, developed in the early 1970s by Lawrence W. Green and first published as a text in 1980 with Marshall W. Kreuter, Sigrid G. Deeds, and Kay B. Partridge, has been effectively applied worldwide to address a broad range of health issues: risk factors like tobacco and lack of exercise, social determinants of health such as lack of access to transportation and safe housing, and major disease challenges like heart disease and guinea worm disease. In Health Program Planning, Implementation, and Evaluation, Green and his team of senior editors and chapter authors combine their expertise to offer a high-level guide to public health programming. This guide aligns with foundational public health competencies required by increasingly rigorous certification and accreditation standards. Driven by the coronavirus pandemic and a looming climate crisis, the book addresses the rapid changes in modern-day conceptions of disease prevention and health promotion. Today's public health practitioners and researchers are often called upon to address a complex web of factors, including population inequities, that influence health status, from biology to social and structural determinants. Program and policy solutions to population health challenges require systematic planning, implementation, and evaluation. Providing students with knowledge, skills, and a range of tools, the book recognizes new approaches to communication and fresh methods for reaching a greater diversity of communities. The authors highlight the importance of starting the population health planning process with an inclusive assessment of the social needs and quality-of-life concerns of the community. They explain how to assess health problems systematically in epidemiological terms and address the behavioral and environmental determinants of the most important and changeable health problems. They also cover procedures for assessing and developing the capacity of communities and organizations to implement and evaluate programs. Drawing on more than 1,200 published applications of the PRECEDE-PROCEED model, Health Program Planning, Implementation, and Evaluation features numerous case studies and contributions from internationally recognized experts, including governmental, academic, and community public health leaders, giving readers a thorough and well-rounded view of the subject. Ultimately, it is an up-to-date powerhouse for community and global health promotion at all levels. Contributors: Faten Ben Abdelaziz, John P. Allegrante, Patricia Chalela, Cam Escoffery, Maria E. Fernandez, Jonathan E. Fielding, Robert S. Gold, Shelly Golden, Holly Hunt, Vanya C. Jones, Michelle C. Kegler, Gerjo Kok, Lloyd J. Kolbe, Chris Y. Lovato, Rodney Lyn, Guy Parcel, Janey C. Peterson, Nico Pronk, Amelie G. Ramirez, Paul Terry

Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and improve the human condition. Although many surveys are conducted using self-administered modes, interviewer-administered modes continue to be optimal for surveys that require high levels of participation, include difficult-to-survey populations, and collect biophysical data. Survey interviewing is complex, multifaceted, and challenging. Interviewers are responsible for locating sampled units, contacting sampled individuals and convincing them to cooperate, asking questions on a variety of topics, collecting other kinds of data, and providing data about respondents and the interview environment. Careful attention to the methodology that underlies survey interviewing is essential for interviewer-administered data collections to succeed. In 2019, survey methodologists, survey practitioners, and survey operations specialists participated in an international workshop at the University of Nebraska-Lincoln to identify best practices for surveys employing interviewers and outline an agenda for future methodological research. This book features 23 chapters on survey interviewing by these worldwide leaders in the theory and practice of survey interviewing. Chapters include: The legacy of Dr. Charles F. Cannell's groundbreaking research on training survey interviewers and the theory of survey interviewing Best practices for training survey interviewers Interviewer management and monitoring during data collection The complex effects of interviewers on survey nonresponse Collecting survey measures and survey paradata in different modes Designing studies to estimate and evaluate interviewer effects Best practices for analyzing interviewer effects Key gaps in the research literature, including an agenda for future methodological research Chapter appendices available to download from https://digitalcommons.unl.edu/sociw/ Written for managers of survey interviewers, survey methodologists, and students interested in the survey data collection process, this unique reference uses the Total Survey Error framework to examine optimal approaches to survey interviewing, presenting state-of-the-art methodological research on all stages of the survey process involving interviewers. Acknowledging the important history of survey interviewing while looking to the future, this one-of-a-kind reference provides researchers and practitioners with a roadmap for maximizing data quality in interviewer-administered surveys.

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

This timely and compact monograph addresses how to determine drug permeability across the blood-brain barrier more effectively. Focusing on the physiological mechanisms that influence the passage of agents into the brain, the book covers the latest research on the blood-brain barrier, the current problems of and solutions to drug delivery to the central nervous system (CNS), existing strategies, and prospects for future research. Avoid excessive in vivo experimentation and utilize timesaving in vitro techniques. A concise reference with reviews from nearly 40 international specialists in diverse fields, The Blood-Brain Barrier and Drug Delivery to the CNS assesses the properties of the blood-brain barrier to determine and measure drug permeability in animals and humans presents techniques to predict successful drug uptake through in vitro systems or by computation of physicochemical parameters examines the multidrug resistance protein P-glycoprotein as a natural transporter analyzes current drug designs to known requirements for transport looks at drug delivery systems for the brain and much more! Densely packed with over 800 literature references, drawings, photographs, x-rays, tables, and equations, The Blood-Brain Barrier and Drug Delivery to the CNS is a vital addition to the bookshelves of biochemists, pharmacists, clinical and research pharmacologists, neuroscientists and neurologists, and graduate and medical school students in these disciplines.

This volume provides a single-source of reviews for all the important colloidal drug delivery systems, including nanoparticles, liposomes, niosomes, microemulsions and ointments. Over 1000 bibliographic citations, as well as tables, drawings, equations and photographs, are provided. Arranged in order of increasing physical complexity, this work analyzes developments in the field.

Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and improve the human condition. Although many surveys are conducted using self-administered modes, interviewer-administered modes continue to be optimal for surveys that require high levels of participation, include difficult-to-survey populations, and collect biophysical data. Survey interviewing is complex, multifaceted, and challenging. Interviewers are responsible for locating sampled units, contacting sampled individuals and convincing them to cooperate, asking questions on a variety of topics, collecting other kinds of data, and providing data about respondents and the interview environment. Careful attention to the methodology that underlies survey interviewing is essential for interviewer-administered data collections to succeed. In 2019, survey methodologists, survey practitioners, and survey operations specialists participated in an international workshop at the University of Nebraska-Lincoln to identify best practices for surveys employing interviewers and outline an agenda for future methodological research. This book features 23 chapters on survey interviewing by these worldwide leaders in the theory and practice of survey interviewing. Chapters include: The legacy of Dr. Charles F. Cannell's groundbreaking research on training survey interviewers and the theory of survey interviewing Best practices for training survey interviewers Interviewer management and monitoring during data collection The complex effects of interviewers on survey nonresponse Collecting survey measures and survey paradata in different modes Designing studies to estimate and evaluate interviewer effects Best practices for analyzing interviewer effects Key gaps in the research literature, including an agenda for future methodological research Chapter appendices available to download from https://digitalcommons.unl.edu/sociw/ Written for managers of survey interviewers, survey methodologists, and students interested in the survey data collection process, this unique reference uses the Total Survey Error framework to examine optimal approaches to survey interviewing, presenting state-of-the-art methodological research on all stages of the survey process involving interviewers. Acknowledging the important history of survey interviewing while looking to the future, this one-of-a-kind reference provides researchers and practitioners with a roadmap for maximizing data quality in interviewer-administered surveys.

This timely and compact monograph addresses how to determine drug permeability across the blood-brain barrier more effectively. Focusing on the physiological mechanisms that influence the passage of agents into the brain, the book covers the latest research on the blood-brain barrier, the current problems of and solutions to drug delivery to the central nervous system (CNS), existing strategies, and prospects for future research. Avoid excessive in vivo experimentation and utilize timesaving in vitro techniques. A concise reference with reviews from nearly 40 international specialists in diverse fields, The Blood-Brain Barrier and Drug Delivery to the CNS -assesses the properties of the blood-brain barrier to determine and measure drug permeability in animals and humans -presents techniques to predict successful drug uptake through in vitro systems or by computation of physicochemical parameters -examines the multidrug resistance protein P-glycoprotein as a natural transporter -analyzes current drug designs to known requirements for transport -looks at drug delivery systems for the brain -and much more! Densely packed with over 800 literature references, drawings, photographs, x-rays, tables, and equations, The Blood-Brain Barrier and Drug Delivery to the CNS is a vital addition to the bookshelves of biochemists, pharmacists, clinical and research pharmacologists, neuroscientists and neurologists, and graduate and medical school students in these disciplines.

Through the use of new technologies, researchers, and practitioners in health education and health communication can now provide health information and behavior change strategies that are customized based on the unique needs, interests, and concerns of different individuals. These tailored health messages can be highly effective in assisting individuals in understanding and responding to health concerns.
In this volume, Matthew Kreuter, David Farrell, and their colleagues define the process of tailoring and describe its uses in health communication programs. They present a theoretical and public health rationale for tailoring and support their position with empirical evidence. They also lay out the steps involved in creating and delivering tailored health communication programs, which can then be applied in practice. Practitioners, researchers, and students in health communication, health psychology, public health, and related areas will find this book to be a vital and invaluable resource for improving communication about health issues.

This volume provides a single-source of reviews for all the important colloidal drug delivery systems, including nanoparticles, liposomes, niosomes, microemulsions and ointments. Over 1000 bibliographic citations, as well as tables, drawings, equations and photographs, are provided. Arranged in order of increasing physical complexity, this work analyzes developments in the field.

Through the use of new technologies, researchers, and practitioners in health education and health communication can now provide health information and behavior change strategies that are customized based on the unique needs, interests, and concerns of different individuals. These tailored health messages can be highly effective in assisting individuals in understanding and responding to health concerns. In this volume, Matthew Kreuter, David Farrell, and their colleagues define the process of tailoring and describe its uses in health communication programs. They present a theoretical and public health rationale for tailoring and support their position with empirical evidence. They also lay out the steps involved in creating and delivering tailored health communication programs, which can then be applied in practice. Practitioners, researchers, and students in health communication, health psychology, public health, and related areas will find this book to be a vital and invaluable resource for improving communication about health issues.

This book examines the academic discussion on climate engineering as an instance of politicization - as a subject of deliberation and decision-making. It traces legitimizing and delegitimizing frames applied to discuss both Carbon Dioxide Removal and Solar Radiation Management approaches in academic publications, and their implications for political decision-making. Moreover, it offers insights into how academic discourse on climate technology can influence political decision-making - especially at a technological stage where a socio-technical system with a high degree of inertia does not (yet) exist. The high degree of diversity of frames in the academic discussion is understood as an opportunity for deliberate decision-making concerning the future roles of these approaches in global climate policy. This book demonstrates how insights from science and technology studies can be operationalized in empirical political analysis. It appeals to scholars in both political science and environmental science who are interested in climate change policy-making and the science-policy nexus.

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

This book examines the academic discussion on climate engineering as an instance of politicization - as a subject of deliberation and decision-making. It traces legitimizing and delegitimizing frames applied to discuss both Carbon Dioxide Removal and Solar Radiation Management approaches in academic publications, and their implications for political decision-making. Moreover, it offers insights into how academic discourse on climate technology can influence political decision-making - especially at a technological stage where a socio-technical system with a high degree of inertia does not (yet) exist. The high degree of diversity of frames in the academic discussion is understood as an opportunity for deliberate decision-making concerning the future roles of these approaches in global climate policy. This book demonstrates how insights from science and technology studies can be operationalized in empirical political analysis. It appeals to scholars in both political science and environmental science who are interested in climate change policy-making and the science-policy nexus.

A satiric and searing collection of poetry obsessed with television, oceans, Jewish history, and time. Nature isn't dying it's simply revising its target audience In Shifting Baseline Syndrome , Aaron Kreuter asks the hard questions: will the Anthropocene have a laugh track? Is it okay to marry your eighteenth cousin? How different would the world look from outside the life-frame of the human? What is it like to have an acid trip in a portapotty? Is it the end . . . of Earth? Of capitalism? Of television? Throughout Kreuter's sophomore collection, the TV remote is never far. Shifting Baseline Syndrome is both searching and searing, veering between satire and sincerity, history and prophecy, and human and non-human worlds. As these clash ecstatically with loathing-and with the end looming-Kreuter demonstrates why we'll keep doing what we've always done: hoping, for once, that the series finale will be good.

The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples. The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages. Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition: * Details on new functions in the PracTools package * Additional machine learning methods to form weighting classes * New coverage of nonlinear optimization algorithms for sample allocation * Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors * A new chapter on nonprobability sampling * Additional examples, exercises, and updated references throughout Richard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research's report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nurnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal. She is founder of the International Program for Survey and Data Science and co-founder of the Coleridge Initiative.

This volume explores new ground in the area of personal transformation, achieved partly through a person’s volition with a guide or catalyst. The authors research and define the dynamics of paradigmatic-thinking, incorporating a series of case vignettes of personal transitions. They describe impediments to such change, as well as the post-transformation state of mind where vulnerabilities may persist. The resultant need for on going commitment may include guidance or coaching in order to sustain the positive effect of a change in paradigm. An important feature of the book is a case study written by “Rex,” a participant in Dr. Kreuter’s earlier work. Rex has achieved significant change in his thought process, both in how he sees the world (less sinister) and his self-perspective (worthy and connected). An in-depth view of the “new” Rex shows the extent to which change has been possible in one human being. Combined with other evidence of shifting paradigms drawn from a cross-section of therapeutic practice, the authors connect the clinical data with their own developed philosophy on the subject of human behavior and the ability to change with the assistance of a therapist guide to effectuate and sustain such change.

The compensating construct of resiliency, itself, has not been compared to the problem of loss of relevancy. Therefore, there is an open corridor for the enlightened therapist, career coach, or mentor to appropriately guide a troubled person with targeted challenges to transform themselves into a newly thriving being. This book explores the topic in detail with references to the literature where prior theory can be applied to advance this topic further. Anecdotal evidence supporting the authors' perspective is presented, including several brief case studies of individuals who have thrived following cessation of their prior careers.

The compensating construct of resiliency, itself, has not been compared to the problem of loss of relevancy. Therefore, there is an open corridor for the enlightened therapist, career coach, or mentor to appropriately guide a troubled person with targeted challenges to transform themselves into a newly thriving being. This book explores the topic in detail with references to the literature where prior theory can be applied to advance this topic further. Anecdotal evidence supporting the authors' perspective is presented, including several brief case studies of individuals who have thrived following cessation of their prior careers.

When Emil Kraepelin died (15. 02. 1856-07. 10. 1926), he left behind his memoirs, which were not published until today. Co-workers and col leagues from the last years of Kraepelin's life and his family knew that such an autobiography existed, but they were not sure whether these memoirs should be made public, so they remained unpublished. At a commemoration 50 years after Emil Kraepelin's death in Mu nich (1976) the descendants, who attended the festivities, agreed to the editors' suggestion to publish the "Memoirs". Through this publication we have been able to learn more about the life of a man, whose work has had a decisive and lasting effect on the entire psychiatry since the end of the last century. When one reads the memoirs, one has to admit that on ly very little is known about this great psychiatrist's personality and path through life and that this gap has by no means been filled by the publica tion of his memoirs. Perhaps this publication will encourage work on a biography, which will give us more information on Kraepelin's person ality, life and scientific work. The focal-point of Kraepelin's work lies in the classification of psy chiatric clinical syndromes, which was developed from clinical observa tions, was constantly tested empirically and was altered taking new findings and knowledge into account. However, the basis of this system has remained unchanged and valid until today.

Leaving Other People Alone reads contemporary North American Jewish fiction about Israel/Palestine through an anti-Zionist, diasporic lens. Aaron Kreuter argues that since Jewish diasporic fiction played a major role in establishing the centroperipheral relationship between Israel and the diaspora, it therefore also has the potential to challenge, trouble, and ultimately rework this relationship. Kreuter suggests that any fictional work that concerns itself with Israel/Palestine and Zionism comes with heightened responsibilities, primarily to make narrative space for the Palestinian worldview, the dispossessed other of the Zionist project. In engaging prose, the book features a wide range of scholarship and new, compelling readings of texts by Theodor Herzl, Leon Uris, Philip Roth, Ayelet Tsabari, and David Bezmozgis. Throughout the book, Kreuter develops his concept of diasporic heteroglossia, which is fiction’s unique ability to contain multiple, diasporic voices that resist and write back against national centres. This work makes an important and original contribution to Jewish studies, diaspora studies, and world literatures.

In cases where, in one language, a particular term is applicable to several professions, industries, etc. while the foreign equivalent varies according to the industry, etc. in which it is used, the particular branch of industry is noted in parenthesis in accordance with the "Explanations of Abbreviations and Signs" given at the beginning of the book. This reference has, however, been omitted where there can be no doubt as to the industry, etc. covered by the term. Expressions which are preferred, or are used almost exclusively, in the United States, are marked (A). I would like to sincerely thank all the individuals, institutions, firms, etc. for their generous as- sistance in placing their excellent and valuable material at my disposal. Their ready co-operation has enabled me to include in this dictionary a large number of technical terms which have not, to my know- ledge, as yet appeared in any dictionary devoted to Engineering, Agriculture, Commerce, or Communi- cations. The number of those who, by making valuable original contributions available to me, have added to the contents of this new edition, is too large to permit of all their names being recorded here.

This volume explores new ground in the area of personal transformation, achieved partly through a person's volition with a guide or catalyst. The authors research and define the dynamics of paradigmatic-thinking, incorporating a series of case vignettes of personal transitions. They describe impediments to such change, as well as the post-transformation state of mind where vulnerabilities may persist. The resultant need for on going commitment may include guidance or coaching in order to sustain the positive effect of a change in paradigm. An important feature of the book is a case study written by "Rex," a participant in Dr. Kreuter's earlier work. Rex has achieved significant change in his thought process, both in how he sees the world (less sinister) and his self-perspective (worthy and connected). An in-depth view of the "new" Rex shows the extent to which change has been possible in one human being. Combined with other evidence of shifting paradigms drawn from a cross-section of therapeutic practice, the authors connect the clinical data with their own developed philosophy on the subject of human behavior and the ability to change with the assistance of a therapist guide to effectuate and sustain such change.

The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples. The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages. Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition: * Details on new functions in the PracTools package * Additional machine learning methods to form weighting classes * New coverage of nonlinear optimization algorithms for sample allocation * Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors * A new chapter on nonprobability sampling * Additional examples, exercises, and updated references throughout Richard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research's report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nurnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal. She is founder of the International Program for Survey and Data Science and co-founder of the Coleridge Initiative.

The hard clam, Mercenaria mercenaria, is an important commercial, recreational and ecological inhabitant of coastal bays along the east and gulf coasts of the United States. This title represents the first state of the art summary of existing knowledge of the hard clam by experts in various disciplines.
Containing a compendium of literature on the hard clam, comprehensive chapters on various aspects of its biology as well as summaries of knowledge including the gray literature on this economically important species, this volume represents a comprehensive source of biological information for managers and researchers interested in shallow marine and estuarine ecosystems. Research students and managers charged with maintaining coastal ecosystems will also find a wealth of background material.
The first synthesis of available information on the mercenaria mercenaria, this title is a response to the needs of individuals involved in hard clam aquaculture and scientists interested in molluscan biology, coastal ocean ecology and similar fields. Over 2300 documents have been synthesized, and chapter authors have added unpublished information as well as new material.

Emil Kraepelin (15. Februar 1856-7. 0ktober 1926) hat Erinnerungen hinterlassen, die bisher nicht veroeffentlicht worden sind. Mitarbeiter und Kollegen Kraepelins aus den letzten Jahren vor seinem Tod und Familien angehoerige wussten von dem Lebensbericht. Da sie sich jedoch nicht sicher waren, ob diese Erinnerungen einem groesseren Publikum zuganglich ge macht werden sollten, blieben die Erinnerungen bisher unveroeffentlicht. Bei einer Gedenkfeier aus Anlass der 50. Wiederkehr des Todestags von Emil Kraepelin in Munchen (1976) stimmten die auf dieser Feier anwesen den Nachkommen Kraepelins dem Vorschlag der Herausgeber zu, die "Le benserinnerungen" zu publizieren. Dadurch wird erst jetzt mehr uber das Le ben eines Mannes bekannt, dessen Werk die gesamte Psychiatrie seit Ende des letzten Jahrhunderts entscheidend und nachhaltig beeinflusst hat. Wenn man die Lebenserinnerungen liest, wird man sich eingestehen, dass man im Grunde wenig uber die Persoenlichkeit und den Lebensweg dieses grossen Psy chiaters wusste. Bisher fehlt ja auch immer noch eine breit angelegte und um fassende wissenschaftliche Biographie uber Kraepelin. Diese Lucke wird nun durch die Veroeffentlichung der "Lebenserinnerungen" keineswegs geschlos sen. Aber vielleicht wird die Publikation dieser Erinnerungen doch zu einer Biographie anregen, die das rechte Licht auf die Persoenlichkeit, den Lebens weg und das wissenschaftliche Werk Kraepelins zu werfen vermag.