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Analyzing Form, Function, and Financing of the U.S. Health Care System
by Paula Stamps DustonAnalyzing Form, Function, and Financing of the U.S. Health Care System tells the story of the U.S. health care system by using a narrative approach identifying function rather than the more common data-driven focus on structure. It presents policy decisions we have made about our health care system and analyzes some of their consequences to better
Analyzing Friction in the Design of Rubber Products and Their Paired Surfaces
by Robert Horigan SmithTaking a mechanistic approach that emphasizes the physical behavior of rubber as it slides, Analyzing Friction in the Design of Rubber Products and Their Paired Surfaces integrates the engineering and scientific evidence demonstrating that the laws of metallic friction do not apply to rubber. The book also presents a newly developed, scienti
Analyzing Global Environmental Issues: Theoretical and Experimental Applications and their Policy Implications (Routledge Explorations in Environmental Economics #39)
by Ariel Dinar Amnon RapoportThe existence of environmental dilemmas and political conflicts leads us to appreciate the need for individuals and groups to behave strategically in order to achieve their goals and maintain their wellbeing. Global issues such as climate change, resource depletion, and pollution, as well as revolts and protests against corporations, regimes, and other central authorities, are the result of increased levels of externalities among individuals and nations. These all require policy intervention at international and global levels. This book includes chapters by experts proposing game theoretical solutions and applying experimental design to a variety of social issues related to global and international conflicts over natural resources and the environment. The focus of the book is on applications that have policy implications, relevance and, consequently, could lead to the establishment of policy dialogue. The chapters in the book address issues that are global in nature, such as international environmental agreements over climate change, international water management, common pool resources, public goods, international fisheries, international trade, and collective action, protest, and revolt. The book’s main objective is to illustrate the usefulness of game theory and experimental economics in policy making at multiple levels and for various aspects related to global and international issues. The subject area of this book is already widely taught and researched, but it continues to gain popularity, given growing recognition that the environment and natural resources have become more strategic in human behavior.
Analyzing Group Interactions: A Guidebook for Qualitative, Quantitative and Mixed Methods
by Matthias Huber Dominik E. FroehlichAnalyzing Group Interactions gives a comprehensive overview of the use of different methods for the analysis of group interactions. International experts from a range of different disciplines within the social sciences illustrate their step-by-step procedures of how they analyze interactions within groups and explain what kind of data and skills are needed to get started. Each method is discussed in the same, structured manner, focusing on each method’s strengths and weaknesses, its applicability and requirements, and the precise workflow to "follow along" when analyzing group interactions with the respective method. The analyzing strategies covered in this book include ethnographical approaches, phenomenology, content analysis, documentary method, discourse analysis, grounded theory, social network analysis, quantitative ratings, and several triangulative and mixed-method research designs. This volume is recommended for researchers at all levels that need guidance with the complex task of analyzing group interactions. The unified structure throughout the book facilitates comparison across the different methods and helps with deciding on the approach to be taken.
Analyzing Health Data in R for SAS Users
by Monika Maya Wahi Peter SeebachAnalyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful as a textbook for a descriptive or regression modeling class, as it uses a publicly-available dataset for examples, and provides exercises at the end of each chapter. For students and public health professionals, not only is it a gentle introduction to R, but it can serve as a guide to developing the results for a research report using R software. Features: Gives examples in both SAS and R Demonstrates descriptive statistics as well as linear and logistic regression Provides exercise questions and answers at the end of each chapter Uses examples from the publicly available dataset, Behavioral Risk Factor Surveillance System (BRFSS) 2014 data Guides the reader on producing a health analysis that could be published as a research report Gives an example of hypothesis-driven data analysis Provides examples of plots with a color insert
Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and Their Implementation
by Owen O'Donnell Adam Wagstaff Magnus LindelowHave gaps in health outcomes between the poor and better off grown? Are they larger in one country than another? Are health sector subsidies more equally distributed in some countries than others? Are health care payments more progressive in one health care financing system than another? What are catastrophic payments and how can they be measured? How far do health care payments impoverish households? Answering questions such as these requires quantitative analysis. This in turn depends on a clear understanding of how to measure key variables in the analysis, such as health outcomes, health expenditures, need, and living standards. It also requires set quantitative methods for measuring inequality and inequity, progressivity, catastrophic expenditures, poverty impact, and so on. This book provides an overview of the key issues that arise in the measurement of health variables and living standards, outlines and explains essential tools and methods for distributional analysis, and, using worked examples, shows how these tools and methods can be applied in the health sector. The book seeks to provide the reader with both a solid grasp of the principles underpinning distributional analysis, while at the same time offering hands-on guidance on how to move from principles to practice.
Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R (Chapman And Hall/crc Computational Biology Ser.)
by Hongmei ZhangAnalyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible. Features: • Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. • Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). • Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers. This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.
Analyzing Inequalities: An Introduction to Race, Class, Gender, and Sexuality Using the General Social Survey
by Catherine E. HarnoisAnalyzing Inequalities: An Introduction to Race, Class, Gender, and Sexuality Using the General Social Survey is a practical resource for helping students connect sociological issues with real-world data in the context of their first undergraduate sociology courses. This worktext introduces readers to the GSS, one of the most widely analyzed surveys in the U.S.; examines a range of GSS questions related to social inequalities; and demonstrates basic techniques for analyzing this data online. No special software is required–the exercises can be completed using the Survey Documentation and Analysis (SDA) website at the University of California-Berkeley which is easy to navigate and master. Students will come away with a better understanding of social science research, and will be better positioned to ask and answer the sociological questions that most interest them.
Analyzing Inequalities: An Introduction to Race, Class, Gender, and Sexuality Using the General Social Survey
by Catherine E. HarnoisAnalyzing Inequalities: An Introduction to Race, Class, Gender, and Sexuality Using the General Social Survey is a practical resource for helping students connect sociological issues with real-world data in the context of their first undergraduate sociology courses. This worktext introduces readers to the GSS, one of the most widely analyzed surveys in the U.S.; examines a range of GSS questions related to social inequalities; and demonstrates basic techniques for analyzing this data online. No special software is required–the exercises can be completed using the Survey Documentation and Analysis (SDA) website at the University of California-Berkeley which is easy to navigate and master. Students will come away with a better understanding of social science research, and will be better positioned to ask and answer the sociological questions that most interest them.
Analyzing Information on Women-Owned Small Businesses in Federal Contracting
by National Research Council of the National AcademiesThe National Academies Press (NAP)--publisher for the National Academies--publishes more than 200 books a year offering the most authoritative views, definitive information, and groundbreaking recommendations on a wide range of topics in science, engineering, and health. Our books are unique in that they are authored by the nation's leading experts in every scientific field.
Analyzing Intelligence: Origins, Obstacles, and Innovations
by Roger Z. George James B. BruceDrawing on the individual and collective experience of recognized intelligence experts and scholars in the field, Analyzing Intelligence provides the first comprehensive assessment of the state of intelligence analysis since 9/11. Its in-depth and balanced evaluation of more than fifty years of U. S. analysis includes a critique of why it has under-performed at times. It provides insights regarding the enduring obstacles as well as new challenges of analysis in the post-9/11 world, and suggests innovative ideas for improved analytical methods, training, and structured approaches. The book's six sections present a coherent plan for improving analysis. Early chapters examine how intelligence analysis has evolved since its origins in the mid-20th century, focusing on traditions, culture, successes, and failures. The middle sections examine how analysis supports the most senior national security and military policymakers and strategists, and how analysts must deal with the perennial challenges of collection, politicization, analytical bias, knowledge building and denial and deception. The final sections of the book propose new ways to address enduring issues in warning analysis, methodology (or "analytical tradecraft") and emerging analytic issues like homeland defense. The book suggests new forms of analytic collaboration in a global intelligence environment, and imperatives for the development of a new profession of intelligence analysis. Analyzing Intelligence is written for the national security expert who needs to understand the role of intelligence and its strengths and weaknesses. Practicing and future analysts will also find that its attention to the enduring challenges provides useful lessons-learned to guide their own efforts. The innovations section will provoke senior intelligence managers to consider major changes in the way analysis is currently organized and conducted, and the way that analysts are trained and perform.
Analyzing Interactions in CSCL: Methods, Approaches and Issues (Computer-Supported Collaborative Learning Series #12)
by Gijsbert Erkens Sadhana Puntambekar Cindy Hmelo-SilverAnalyzing Interactions in CSCL: Methodology, Approaches, and Issues deepens the understanding of ways to document and analyze interactions in CSCL and informs the design of the next generation of CSCL tools. It provides researchers with several alternative methodologies, theoretical underpinnings of the methods used, data indicating how the method worked, guidance for using the methods, implications for understanding collaborative processes and their effect on learning outcomes and implications for design. CSCL research tends to span across several disciplines such as education, psychology, computer science and artificial intelligence. As a result, the methods for data collection and analysis are interdisciplinary, from fields such as sociology, anthropology, psychology, computer science, and artificial intelligence. This book brings perspectives together, and provides researchers with an array of methodologies to document and analyze collaborative interactions.
Analyzing Language in Restricted Domains: Sublanguage Description and Processing
by Ralph Grishman and Richard KittredgeFirst published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.
Analyzing Linguistic Data
by R. H. BaayenStatistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
Analyzing Longitudinal Clinical Trial Data: A Practical Guide (Chapman & Hall/CRC Biostatistics Series)
by Craig Mallinckrodt Ilya LipkovichAnalyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.The book, with its example-oriented approach that includes numerous SAS and R code fragments, is an essential resource for statisticians and graduate students specializing in medical research. The authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics covered include choice of endpoint and statistical test; modeling means and the correlations between repeated measurements; accounting for covariates; modeling categorical data; model verification; methods for incomplete (missing) data that includes the latest developments in sensitivity analyses, along with approaches for and issues in choosing estimands; and means for preventing missing data. Each chapter stands alone in its coverage of a topic. The concluding chapters provide detailed advice on how to integrate these independent topics into an over-arching study development process and statistical analysis plan.
Analyzing Markov Chains using Kronecker Products: Theory and Applications (SpringerBriefs in Mathematics)
by Tugrul DayarKronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is to alleviate the storage requirements associated with the MC. With this approach, systems that are an order of magnitude larger can be analyzed on the same platform. The developments in the solution of such MCs are reviewed from an algebraic point of view and possible areas for further research are indicated with an emphasis on preprocessing using reordering, grouping, and lumping and numerical analysis using block iterative, preconditioned projection, multilevel, decompositional, and matrix analytic methods. Case studies from closed queueing networks and stochastic chemical kinetics are provided to motivate decompositional and matrix analytic methods, respectively.
Analyzing Marx: Morality, Power and History
by Richard W. MillerIn this book Marx is revealed as a powerful contributor to the debates that now dominate philosophy and political theory. Using the techniques of analytic philosophy to unite Marx's general statements with his practice as historian and activist, Richard W. Miller derives important arguments about the rational basis of morality, the nature of power, and the logic of testing and explanation. The book also makes Marx's theory of change useful for current social science, by replacing economic determinist readings with a new interpretation in which systems of power relations are the basis of change. Part One discusses Marx's criticisms of the moral point of view as a basis for social choice. The outlook that emerges is humane but antimoral. Part Two argues that Marx's concept of the ruling class is a means, of measuring political power that is ignored yet urgently needed by present-day social science. Part Three bases Marx's theory of history on the dynamics of power, challenging both the standard, economic determinist readings of the theory and standard conceptions of science.
Analyzing Media Messages: Using Quantitative Content Analysis in Research
by Stephen Lacy Daniel Riffe Brendan R. Watson Jennette LovejoyThe fifth edition of this comprehensive and engaging text guides readers through the essential tools and skills necessary to conduct quantitative content analysis research. Readers will find a clear definition of quantitative content analysis and step-by-step instructions on designing a content analysis study, along with examples of content analysis studies and journal articles. This edition has been updated with the latest methods in sampling in the digital age, computerized content analysis, and the uses of social media in content analysis research. It maintains the concise, accessible approach of previous editions while including refreshed examples and discussions throughout. This is an essential text for content analysis courses in communication and media studies programs at all levels, as well as a useful supplementary text in more general research methods courses.
Analyzing Media Messages: Using Quantitative Content Analysis in Research (2nd Edition) (LEA Communication Series)
by Stephen Lacy Daniel Riff Frederick Fico Daniel Riffe<p>Analyzing Media Messages provides a comprehensive and comprehensible guide to conducting content analysis research. It establishes a formal definition of quantitative content analysis; gives step-by-step instruction on designing a content analysis study; and explores in depth research questions that recur in content analysis, in such areas as measurement, sampling, reliability, data analysis, validity, and technology. <p>This Second Edition maintains the concise, accessible approach of the first edition while offering an updated discussion and new examples. The goal of this resource is to make content analysis understandable, and to produce a useful guide for novice and experienced researchers alike. <p>Accompanied by detailed, practical examples of current and classic applications, this volume is appropriate for use as a primary text for content analysis coursework, or as a supplemental text in research methods courses. It is also an indispensable reference for researchers in mass communication fields, political science, and other social and behavioral sciences.</p>
Analyzing Media Messages: Using Quantitative Content Analysis in Research (LEA Communication Series)
by Stephen Lacy Daniel Riff Frederick FicoAnalyzing Media Messages is a primer for learning the technique of systematic, quantitative analysis of communication content. Rich with examples of recent and classic applications, it provides solutions to problems encountered in conducting content analysis, and it is written so that students can readily understand and apply the techniques. This thoroughly revised third edition includes current and engaging examples for today's students, in addition to a number of historically important cases. It emphasizes communication of visual imagery and studies of advertising content. Resources on the book’s companion website provide additional materials for students and instructors, including existing protocols, web links, and a bibliography of content analysis methods articles. This volume is intended for use as a primary text for content analysis coursework, or as a supplemental text in research methods courses. It is also an indispensable reference for researchers in mass media fields, political science, and other social and behavioral sciences.
Analyzing Media Messages: Using Quantitative Content Analysis in Research (Lea's Communication Ser.)
by Stephen Lacy Daniel Riff Frederick Fico Brendan WatsonAnalyzing Media Messages, Fourth Edition provides a comprehensive guide to conducting content analysis research. It establishes a formal definition of quantitative content analysis; gives step-by-step instructions on designing a content analysis study; and explores in depth several recurring questions that arise in such areas as measurement, sampling, reliability, data analysis, and the use of digital technology in the content analysis process. The fourth edition maintains the concise, accessible approach of the first three editions while offering updated discussions and examples. It examines in greater detail the use of computers to analyze content and how that process varies from human coding of content, incorporating more literature about technology and content analysis throughout. Updated topics include sampling in the digital age, computerized content analysis as practiced today, and incorporating social media in content analysis. Each chapter contains useful objectives and chapter summaries to cement core concepts.
Analyzing Memory: The Formation, Retention, and Measurement of Memory (The\mit Press Ser.)
by Richard A. ChechileAn accessible synthesis of memory research that discusses the creation of memory representations, the processes of storage and retrieval, and the effectiveness of encoding information.The field of memory research is subdivided into many separate and non-overlapping topic areas that often employ specialized tools and models. This book offers an accessible synthesis of memory research that explores how memory works, how it is organized, and how it changes dynamically. Written by an expert in the field, it can be used by undergraduate and graduate students of psychology and as a reference by researchers who want to fill in gaps in their knowledge. The book focuses on three general topics that cover a vast amount of research in the field: how a memory representation is created, how the cognitive processes of storage and retrieval can be studied and measured, and the process of encoding information and its varying degrees of effectiveness. Specific subjects addressed include habituation and sensitization, and the neurobiological changes that underlie them; evidence for a cognitive component underlying Pavlovian conditioning; biological constraints on a cognitive model of memory; an information-processing framework for memory; misconceptions about memory, including the static memory myth and the permanent memory myth; model-based measurement of storage and retrieval processes; a critique of the concept of memory strength; the distinction between implicit and explicit memory; and learning and repetition. Although the writing is accessible to the nonspecialist, the density of information is high. The text avoids jargon, and a glossary defines key terms. The notes expand on technical details and point to interesting related ideas.
Analyzing Microbes: Manual of Molecular Biology Techniques (Springer Protocols Handbooks)
by Dilip Kumar Arora Surajit Das Mesapogu SukumarThis Springer Protocols manual is a practical guide to the application of key molecular biology techniques in microbiological research. The focus is on experimental protocols, which are presented in an easy-to-follow way, as step-by-step procedures for direct use in the laboratory. Notes on how to successfully apply the procedures are included, as well as recommendations regarding materials and suppliers. In addition to the practical protocols, important background information and representative results of experiments using the described methods are presented. Researchers in all areas applying microbial systems, such as in molecular biology, genetics, pathology, and agricultural research will find this work of great value.
Analyzing Modern Business Cycles: Essays Honoring
by Philip A KleinThis title was first published in 1990.
Analyzing Moral Issues (5th edition)
by Judith A. BossThis text with readings addresses a variety of timely and interesting moral issues, providing background information and primary source selections for each issue presented. It includes a chapter on ethical theory and covers a broad range of ethical perspectives--among them virtue ethics (Aristotelian and Confucian), Buddhist and feminist care ethics, and the Rawlsian and communitarian approaches. The fifth edition also includes new readings and case studies covering some of the more pressing issues of recent ethical debate, such as genetic enhancement of children, racism and sexism in the 2008 presidential elections, the effect of the U. S. Patriot Act on academic freedom, military conscription, and global warming.