Products related to Analysis:
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Transforming Qualitative Information : Thematic Analysis and Code Development
Thematic analysis, a process for encoding qualitative information can be thought of as a bridge between the language of qualitative research and the language of quantitative research.Author Richard E. Boyatzis helps researchers understand thematic analysis a process that is a part of many qualitative methods and provides clear guidelines about learning to develop techniques to apply it to one's own research.Transforming Qualitative Information shows how to sense themes, the first step in analyzing information as well as how to develop codes, through the use of numerous examples from myriad research settings.Research design issues that are essential to rigorous and high-quality use of qualitative information are addressed, such as identifying, sampling, scoring and scaling, and reliability.This original volume confronts the debate between positivist and postmodernist looking at the research act in an innovative and fresh way.Boyatzis argues for an ecumenical approach to doing research.His book will be invaluable to researchers across a broad spectrum of disciplines and approaches.
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Innovation in Information Technology
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Computational Analysis of Communication
Provides clear guidance on leveraging computational techniques to answer social science questions In disciplines such as political science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing.Statistical modeling, machine learning, and other computational techniques are revolutionizing the way electoral results are predicted, social sentiment is measured, consumer interest is evaluated, and much more.Computational Analysis of Communication teaches social science students and practitioners how computational methods can be used in a broad range of applications, providing discipline-relevant examples, clear explanations, and practical guidance. Assuming little or no background in data science or computer linguistics, this accessible textbook teaches readers how to use state-of-the art computational methods to perform data-driven analyses of social science issues.A cross-disciplinary team of authors—with expertise in both the social sciences and computer science—explains how to gather and clean data, manage textual, audio-visual, and network data, conduct statistical and quantitative analysis, and interpret, summarize, and visualize the results.Offered in a unique hybrid format that integrates print, ebook, and open-access online viewing, this innovative resource: Covers the essential skills for social sciences courses on big data, data visualization, text analysis, predictive analytics, and othersIntegrates theory, methods, and tools to provide unified approach to the subjectIncludes sample code in Python and links to actual research questions and cases from social science and communication studiesDiscusses ethical and normative issues relevant to privacy, data ownership, and reproducible social scienceDeveloped in partnership with the International Communication Association and by the editors of Computational Communication Research Computational Analysis of Communication is an invaluable textbook and reference for students taking computational methods courses in social sciences, and for professional social scientists looking to incorporate computational methods into their work.
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Social Network Analysis
Incorporating the most important and cutting-edge developments in the field, this bestselling text introduces newcomers to the key theories and techniques of social network analysis and guides more experienced analysts in their own research. New to This Edition:A chapter on data collection, covering a crucial phase of the research processFully updated examples reiterate the continued importance of social network analysis in an increasingly interconnected worldDetailed ‘Further Reading’ sections help you explore the wider literaturePractical exercises including real-world examples of social networks enable you to apply your learningExpanded and brought right up-to-date, this classic text remains the indispensable guide to social network analysis for students, lecturers and researchers throughout the social sciences.
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How are calculations for circuit analysis in digital technology performed?
Calculations for circuit analysis in digital technology are performed using Boolean algebra and logic gates. Boolean algebra is used to represent the logical relationships between inputs and outputs in a digital circuit. Logic gates, such as AND, OR, and NOT gates, are then used to implement these logical relationships in the circuit. By applying Boolean algebra and using logic gates, engineers can analyze and design digital circuits to ensure proper functionality and performance.
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What is a communication analysis?
A communication analysis is the process of examining and evaluating the effectiveness of communication within a specific context or organization. This can involve studying the methods, channels, and content of communication to identify strengths, weaknesses, and areas for improvement. Communication analysis can also involve assessing the impact of communication on relationships, decision-making, and overall organizational performance. The goal of communication analysis is to gain insights into how communication functions and to make recommendations for enhancing its effectiveness.
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How do I write a communication analysis?
To write a communication analysis, start by selecting a communication piece to analyze, such as a speech, advertisement, or conversation. Next, identify the purpose, audience, and context of the communication. Then, analyze the key elements of the communication, such as the message, tone, language, and nonverbal cues. Finally, evaluate the effectiveness of the communication in achieving its intended goals and consider any potential improvements or alternative strategies that could enhance the communication.
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What exactly does a specialist in information technology for data and process analysis do?
A specialist in information technology for data and process analysis is responsible for analyzing and interpreting data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. They use various tools and techniques to collect, clean, and analyze data, and then present their findings to stakeholders in a clear and understandable manner. They also work to identify areas for process improvement and develop strategies to optimize workflows and increase efficiency. Overall, their role is to leverage technology and data to drive informed decision-making and improve business operations.
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Inferential Network Analysis
This unique textbook provides an introduction to statistical inference with network data.The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised.Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research.From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions.The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.
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Project Analysis in Developing Countries : Cost Benefit Analysis for Development
This updated new edition explores the techniques used to assess the economic impact of projects in developing countries.Blending an academic understanding of economics and development with an accessible style and practical advice, the costs and benefits of investment projects, an important mechanism for economic development, are assessed to ensure that resource allocation is as productive as possible.New material has been added, particularly on the environmental impact of projects, the role of the discount rate in decision-taking, the application of techniques to estimate willingness to pay for benefit estimation and the quantification of health impacts. Although the basic techniques of project analysis were developed many decades ago, they remain highly relevant to address current concerns, such as population growth, urbanisation, pressure on physical infrastructure, inequality, and the climate crisis.This book aims to provide an accessible overview, drawn from extensive practical experience, of project analysis in developing countries.It will be relevant to students, researchers, and practitioners interested in development economics.
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Technology Innovation for the Circular Economy : Recycling, Remanufacturing, Design, System Analysis and Logistics
TECHNOLOGY INNOVATION FOR THE CIRCULAR ECONOMY The book comprises 56 peer-reviewed chapters comprehensively covering in-depth areas of circular economy design, planning, business models, and enabling technologies. Some of the greatest opportunities for innovation in the circular economy are in remanufacturing, refurbishment, reuse, and recycling.Critical to its growth, however, are developments in product design approaches and the manufacturing business model that are often met with challenges in the current, largely linear economies of today’s global manufacturing chains. The conference hosted by the REMADE Institute in Rochester, NY, brought together U.S. and international researchers, industry engineers, technologists, and policymakers, to discuss the myriad intertwining issues relating to the circular economy. This book consists of 56 chapters in 10 distinct parts covering broad areas of research and applications in the circular economy area.The first four parts explore the system level work related to circular economy approaches, models and advancements including the use of artificial intelligence (AI) and machine learning to guide implementation, as well as design for circularity approaches.Mechanical and chemical recycling technologies follow, highlighting some of the most advanced research in those areas.Next, innovation in remanufacturing is addressed with descriptions of some of the most advanced work in this field.This is followed by tire remanufacturing and recycling, highlighting innovative technologies in addressing the volume of end-of-use tires.Pathways to net-zero emissions in manufacturing of materials concludes the book, with a focus on industrial decarbonization. Audience This book has a wide audience in academic institutes, business professionals and engineers in a variety of manufacturing industries.It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
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Play Directing : Analysis, Communication, and Style
Play Directing describes the various roles a director plays, from selection and analysis of the play, to working with actors and designers to bring the production to life.The authors emphasize that the role of the director as an artist-leader collaborating with actors and designers who look to the director for partnership in achieving their fullest, most creative expressions.The text emphasizes how the study of directing provides an intensive look at the structure of plays and acting, and of the process of design of scenery, costume, lighting, and sound that together make a produced play.
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How can one focus on communication in an analysis?
To focus on communication in an analysis, one can start by clearly defining the purpose and audience of the communication. It is important to identify key messages and ensure they are conveyed effectively. Paying attention to the tone, language, and medium of communication can also help in delivering the message clearly. Additionally, actively listening to feedback and being open to adjusting the communication strategy can further enhance the effectiveness of the analysis.
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What is the topic of the communication analysis exam?
The topic of the communication analysis exam is to evaluate and analyze various forms of communication, such as verbal, nonverbal, written, and visual communication. Students are expected to demonstrate their understanding of communication theories, principles, and concepts, as well as their ability to critically analyze different communication strategies and their effectiveness in various contexts. The exam may also cover topics related to interpersonal communication, organizational communication, mass communication, and the impact of technology on communication.
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How does network analysis work in electrical engineering?
Network analysis in electrical engineering involves studying and analyzing the behavior of electrical circuits. This analysis helps in understanding how different components in a circuit interact with each other and how signals flow through the network. By using techniques such as Kirchhoff's laws, nodal analysis, and mesh analysis, engineers can determine important parameters like voltage, current, power, and impedance in a circuit. This information is crucial for designing, optimizing, and troubleshooting electrical systems. Overall, network analysis plays a key role in ensuring the efficient and reliable operation of electrical networks.
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What information is needed for a market analysis?
A market analysis requires a variety of information to be effective. This includes data on the size and growth potential of the market, the target customer demographics and behaviors, the competitive landscape, and any regulatory or economic factors that may impact the market. Additionally, information on industry trends, market segmentation, and consumer preferences is also important for a comprehensive market analysis. Gathering and analyzing this information helps businesses make informed decisions about their marketing strategies, product development, and overall business operations.
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