Products related to Design:
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Research Design and Statistical Analysis
This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data.The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis. Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses. Detailed instructions on performing analysis using both R and SPSS. Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals. Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences. The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.
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Research Design and Statistical Analysis
This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data.The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis. Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses. Detailed instructions on performing analysis using both R and SPSS. Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals. Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences. The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.
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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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Technology Ethics : Responsible Innovation and Design Strategies
Technologies cannot simply be understood as neutral tools or instruments; they embody the values of their creators and may unconsciously reinforce existing inequalities and biases. Technology Ethics shows how responsible innovation can be achieved.Demonstrating how design and philosophy converge, the book delves into the intricate narratives that shape our understanding of technology – from instrumentalist views to social constructivism.Yet, at its core, it champions interactionalism as the most promising and responsible narrative.Through compelling examples and actionable tools this book unravels the nuances of these philosophical positions, and is tailored to foster responsible innovation and thoughtful design.As our everyday lives further intertwine with technology, understanding and implementing these design principles becomes not just beneficial, but essential. This concise and accessible introduction is essential reading for students and scholars of philosophy of technology, engineering ethics, science and technology studies, and human–machine communication, as well as policymakers.
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Is this a good design analysis?
Yes, this is a good design analysis. The analysis provides a clear breakdown of the design elements, such as color, typography, and layout, and explains how they contribute to the overall effectiveness of the design. The use of specific examples and explanations helps to support the analysis and make it more insightful. Additionally, the analysis offers suggestions for improvement, showing a critical evaluation of the design.
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What are the differences between rough design and detailed design in software development?
Rough design in software development is a high-level, conceptual plan that outlines the overall structure and functionality of the software. It focuses on the big picture and does not delve into specific implementation details. On the other hand, detailed design is a more in-depth and specific plan that includes the nitty-gritty technical details of how the software will be implemented. It covers things like data structures, algorithms, and specific modules or components. In essence, rough design is about the "what" of the software, while detailed design is about the "how."
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How could one design an experiment for a research paper in the subject of biology?
To design an experiment for a research paper in biology, one could start by identifying a specific research question or hypothesis to investigate. Then, one could design a controlled experiment with a clear experimental group and a control group to test the hypothesis. It is important to carefully plan the experimental procedures, including the variables to be measured and the methods for data collection. Additionally, ethical considerations and potential confounding variables should be taken into account when designing the experiment. Finally, the results should be analyzed and interpreted to draw conclusions and implications for the research paper.
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How can one design a research method?
Designing a research method involves several key steps. First, the researcher must clearly define the research question or problem they want to address. Next, they should review existing literature and research to understand what methods have been used in similar studies. Then, the researcher should select the most appropriate research method, such as qualitative, quantitative, or mixed methods, based on the nature of the research question and the data that needs to be collected. Finally, the researcher should carefully plan the data collection process, including selecting participants, designing surveys or interview questions, and determining the data analysis techniques to be used. Throughout this process, it's important to consider ethical considerations and potential biases that may impact the research method.
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Technology Ethics : Responsible Innovation and Design Strategies
Technologies cannot simply be understood as neutral tools or instruments; they embody the values of their creators and may unconsciously reinforce existing inequalities and biases. Technology Ethics shows how responsible innovation can be achieved.Demonstrating how design and philosophy converge, the book delves into the intricate narratives that shape our understanding of technology – from instrumentalist views to social constructivism.Yet, at its core, it champions interactionalism as the most promising and responsible narrative.Through compelling examples and actionable tools this book unravels the nuances of these philosophical positions, and is tailored to foster responsible innovation and thoughtful design.As our everyday lives further intertwine with technology, understanding and implementing these design principles becomes not just beneficial, but essential. This concise and accessible introduction is essential reading for students and scholars of philosophy of technology, engineering ethics, science and technology studies, and human–machine communication, as well as policymakers.
Price: 14.99 £ | Shipping*: 3.99 £ -
Research Methods, Design, and Analysis, Global Edition
Encourages mastery of the basic principles of psychological research Research Methods, Design, and Analysis, 12/e, provides an understanding of the research methods used to investigate human thought and behavior.The coverage of experimental, qualitative, correlational, and survey research helps students develop their research skills for all aspects of psychology.Information is presented in a simple and straightforward manner and placed into context of actual research studies, helping students make real-life connections. MySearchLab is a part of the Christensen / Johnson / Turner program.Research and writing tools, including access to academic journals, help students explore Psychological Research in even greater depth.To provide students with flexibility, students can download the eText to a tablet using the free Pearson eText app. This title is available in a variety of formats and prices – digital and print.Pearson offers its titles on the devices students love through Pearson’s MyLab products, CourseSmart, Amazon, and more.
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Market Research and Analysis : Methods, Design and Data
This book provides a comprehensive discussion of market research and analysis, covering key concepts, process descriptions, qualitative and quantitative techniques for market research and data analysis, and application scenarios.Although it is not an academic textbook, it is geared toward business management professionals and graduate students who want to enhance their skills in addressing management decision problems (MDP) and test them for statistical significance.Readers will appreciate the breadth and depth of this subject, market research techniques, and how they are relevant to the business enterprise, whether it is a startup entrepreneurship or an established business organization.This book guides readers on how to conduct market research and solve business challenges.The structure of the book is based on the six steps of the market research process: problem definition, development of an approach to the problem, research design formulation, fieldwork and data collection, data preparation, qualitative and quantitative analysis, statistical test of significance of results, report preparation, and presentation.
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Science, Technology And Innovation Indicators : Lessons from the Development Experience in Africa
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Windows or macOS for web design/web development?
Both Windows and macOS are viable options for web design and development. Windows is known for its compatibility with a wide range of software and hardware, making it a popular choice for developers. On the other hand, macOS is preferred by many designers for its sleek interface and seamless integration with other Apple products. Ultimately, the choice between Windows and macOS comes down to personal preference and the specific tools and software you prefer to use for your web design and development projects.
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How could one write a research paper on website design with HTML in computer science?
To write a research paper on website design with HTML in computer science, one could start by conducting a literature review to understand the current trends and best practices in website design. The paper could then delve into the fundamentals of HTML, discussing its syntax, structure, and various elements. Additionally, the research could explore how HTML is used in conjunction with other technologies like CSS and JavaScript to create visually appealing and interactive websites. Finally, the paper could analyze case studies or conduct experiments to demonstrate the impact of different design choices on user experience and website performance.
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How can one design a research paper as a complex task in the subject of computer science?
Designing a research paper in computer science can be a complex task due to the need for a deep understanding of the subject matter, the requirement for rigorous experimentation and analysis, and the necessity of staying up-to-date with the latest developments in the field. It involves identifying a research problem, conducting a thorough literature review, formulating a hypothesis, designing and implementing experiments or simulations, analyzing the results, and drawing meaningful conclusions. Additionally, the paper must adhere to the specific formatting and citation styles required by the academic community. Overall, designing a research paper in computer science requires a combination of technical expertise, critical thinking, and effective communication skills.
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What is the connection between web design and web development?
Web design and web development are closely related disciplines that work together to create functional and visually appealing websites. Web design focuses on the aesthetics and user experience of a website, including layout, color scheme, and typography. Web development, on the other hand, involves the technical aspects of building a website, such as coding, programming, and implementing functionality. Both web design and web development are essential for creating a successful website that engages users and meets their needs.
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