- Table View
- List View
Analyzing Digital Discourses: Between Convergence and Controversy
by Marjut Johansson Sanna-Kaisa Tanskanen Jan ChovanecThis book contributes to the scholarly debate on the forms and patterns of interaction and discourse in modern digital communication by probing some of the social functions that online communication has for its users. An array of experts and scholars in the field address a range of forms of social interaction and discourses expressed by users on social networks and in public media. Social functions are reflected through linguistic and discursive practices that are either those of ‘convergence’ or ‘controversy’ in terms of how the discourse participants handle interpersonal relations or how they construct meanings in discourses. In this sense, the book elaborates on some very central concerns in the area of digital discourse analysis that have been reported within the last decade from various methodological perspectives ranging from sociolinguistics and pragmatics to corpus linguistics. This edited collection will be of particular interest to scholars and students in the fields of digital discourse analysis, pragmatics, sociolinguistics, social media and communication, and media and cultural studies.
Analyzing Digital Fiction: Analyzing Digital Fiction (Routledge Studies in Rhetoric and Stylistics)
by Astrid Ensslin Alice Bell Hans Kristian RustadWritten for and read on a computer screen, digital fiction pursues its verbal, discursive and conceptual complexity through the digital medium. It is fiction whose structure, form and meaning are dictated by the digital context in which it is produced and requires analytical approaches that are sensitive to its status as a digital artifact. Analyzing Digital Fiction offers a collection of pioneering analyses based on replicable methodological frameworks. Chapters include analyses of hypertext fiction, Flash fiction, Twitter fiction and videogames with approaches taken from narratology, stylistics, semiotics and ludology. Essays propose ways in which digital environments can expand, challenge and test the limits of literary theories which have, until recently, predominantly been based on models and analyses of print texts.
Analyzing Education, Sustainability, and Innovation: Multidisciplinary Research Perspectives (SpringerBriefs in Applied Sciences and Technology)
by Andreas Öchsner Azman Ismail Mohd Amran Mohd Daril Fatin Nur Zulkipli Rahimah MahatThis book describes a diverse array of studies unravelling the intricate interplay of education, sustainability, and organizational dynamics. From innovative teaching methodologies to sustainability trends and the pandemic's impact, this compendium offers a rich tapestry of insights. This book traverses through a compendium of studies that intricately dissect the synergy between education, sustainability, and organizational dynamics. This book is ideal for academics, practitioners, and curious minds seeking a deeper understanding of these vital contemporary forces.
Analyzing Efficiency & Managerial Performance: Using Sensitivity Scores of DEA Models
by Shan LiThis study was initially the author’s Ph.D dissertation written at the University of Texas at Austin in 1995 entitled “A New Approach to Sensitivity Analysis of the DEA Models and their Applications to Ranking and Productivity Growth.” An updated preface and a general index were added for this book which was originally published in 1996. The primary objective of this study is to demonstrate a new method available to management scientists for evaluating the organizational efficiency performance and analyzing how stable the evaluations are to the sample data collections.
Analyzing Electoral Promises with Game Theory (Routledge Focus on Economics and Finance)
by Yasushi AsakoElectoral promises help to win votes and political candidates, or parties should strategically choose what they can deliver to win an election. Past game-theoretical studies tend to ignore electoral promises and this book sheds illuminating light on the functions and effects of electoral promises on policies or electoral outcomes through game theory models. This book provides a basic framework for game-theoretical analysis of electoral promises. The book also includes cases to illustrate real life applications of these theories.
Analyzing Emotion in Spontaneous Speech
by Sunil Kumar Kopparapu Rupayan Chakraborty Meghna PandharipandeThis book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human-computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human-machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors' previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.
Analyzing English Grammar
by Thomas P. Klammer Muriel R. Schulz Angela Della VolpeWhile drawing upon traditional, structural and transformational grammatical theory, the primary purpose of this book is to provide sound pedagogical grammar instruction. Taking an eclectic approach, this effective learning tool is designed to support and assist learning about the structure of English. Unlike similar books, Analyzing English Grammar directly addresses its audience with understandable language and clear explanations. From cover to cover, it models the techniques of step-by-step linguistic analysis that the authors teach in their own classes. Numerous exercises help readers move from mastering clear, prototypical cases toward critical analysis of the more complex and borderline fuzzy grammar examples that characterize actual language. Includes the conventions of Standard English in a context of regional, social, and stylistic variation. Grammatical concepts are applied to practical writing problems.
Analyzing Ethics Questions from Behavior Analysts: A Student Workbook
by Jon S. Bailey Mary R. BurchSupplementing the best-selling textbook, Ethics for Behavior Analysts, this book analyzes over 50 original and up-to-date ethics cases recently faced by behavior analysts. The workbook provides "solutions" to each question written by the most expert professionals in the field using the Behavior Analyst Certification Board® Ethics Code. Covering all ten sections of the code and designed to allow the reader to see the original question, respond given their knowledge of the Code, and then compare their answers with the authors’ answers at the back of the book, Jon S. Bailey and Mary R. Burch provide the necessary guided practice for both students and clinicians to improve ethical competency in behavior analysis.
Analyzing Event Statistics In Corporate Finance
by Jau-Lian JengAnalyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast to conventional surveys or literature reviews, Jeng focuses on various methodological defects or deficiencies that lead to inaccurate empirical results, which ultimately produce bad corporate policies. This work discusses the issues of data collection and structure, the recursive smoothing for systematic components in excess returns, the choices of event windows, different time horizons for the events, and the consequences of applications of different methodologies. In providing improvement for event studies in corporate finance, and based on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventionalanalysis to more robust arguments.
Analyzing Evolutionary Algorithms: The Computer Science Perspective (Natural Computing Series)
by Thomas JansenEvolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algorithms. He then places the approach in the broader research context with a chapter on theoretical perspectives. By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step. This main part is followed by a chapter covering practical applications of these methods. The notational and mathematical basics are covered in an appendix, the results presented are derived in detail, and each chapter ends with detailed comments and pointers to further reading. So the book is a useful reference for both graduate students and researchers engaged with the theoretical analysis of such algorithms.
Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)
by Clifford S. AngThis book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis. This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student. Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.
Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)
by Clifford S. AngThis advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely and practical issues in financial modelling are covered including return and risk measurement, portfolio management, option pricing and fixed income analysis. This new edition updates and expands upon the existing material providing updated examples and new chapters on equities, simulation and trading strategies, including machine learnings techniques. Select data sets are available online.
Analyzing Fiscal Space Using the MAMS Model: An Application to Burkina Faso
by Jan Gottschalk Vu Manh Le Hans Lofgren Kofi NouveA report from the International Monetary Fund.
Analyzing Food for Nutrition Labeling and Hazardous Contaminants
by Ike J. Jeon William G. IkinsThis work provides up-to-date information on the various analytical procedures involved in both nutrition labelling and the identification and quantitation of hazardous chemicals in foods. It assesses the relative strengths of traditional and modern analysis techniques. The book covers all mandatory dietary components and many optional nutritients specified by the new labelling regulations of the Food and Drug Administration and the US Department of Agriculture Food Safety and Inspection Service.
Analyzing Food Security Using Household Survey Data
by Nathalie Troubat Ana Moltedo Michael Lokshin Zurab SajaiaSince the end of the Second World War, the international community has been focusing on reducing the number and the proportion of people who suffer from hunger. Over time it became clear that no single indicator would provide a comprehensive picture of the food security situation. Rather, a suite of indicators is necessary to describe food insecurity in all its dimensions. The demand for evidence-based policies, which brings together providers such as statistical offices and users of food security indicators including policy makers and researchers, has also been increasing. The stand-alone software, ADePT-Food Security Module (available for free downloading), was developed to produce food security indicators from food consumption data collected in household surveys. These indicators, derived at the national and subnational levels, include the consumption of calories and macronutrients, the availability of micronutrients and amino acids, the distribution of calories and the proportion of people undernourished. The book focuses on the theory, methodology, and analysis of these indicators. It has five chapters beginning with a brief overview on concepts of food security. The theory and methodology are further described in the following chapter. To help users with the interpretation of the results some examples are given in chapter 3. Chapter 4 of the book provides guidelines for the preparation of the input datasets. Finally, chapter 5 explains how to use the software. Both the software and this book are products of decades of experience in analyzing food security. This project was made possible through collaboration between FAO and the World Bank, with financial support from the European Union.
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 understand the choices we have. To facilitate this, the book is divided into four major sections. <p><p> Section I is mostly "about" the health care system. It describes several theoretical models that provide a foundation for the structure of the U.S. health care system. Section II provides a description of the form, or organization, of the U.S. health care delivery system. It presents a comprehensive overview of the entire health care delivery system, including identifying all levels of care. <p> Section III focuses on financing, beginning with a description of the economic and political values that determine how we finance our system. It describes health insurance, from the perspective of both the consumer and the provider, and discusses how money moves through the system. It concludes with a discussion and analysis of cost and cost control efforts. <p> Section IV describes some of the more important efforts in health care reform, including several targeted programs that are a significant part of the U.S. health care system, such as Medicare and Medicaid. It also describes other targeted programs within the U.S. health care system and explores how other countries with economies similar to that of the United States organize and finance their health care systems.
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 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.