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  • Evaluation in Today’s World : Respecting Diversity, Improving Quality, and Promoting Usability
    Evaluation in Today’s World : Respecting Diversity, Improving Quality, and Promoting Usability

    Recipient of a 2021 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA) Evaluation in Today’s World: Respecting Diversity, Improving Quality, and Promoting Usability is a timely and comprehensive textbook that guides students, practitioners, and users of evaluations in understanding evaluation purposes, theories, methodologies, and challenges within today’s sociocultural and political context.Veronica G. Thomas and Patricia B. Campbell include discussions of evaluation history, frameworks, models, types, planning, and methods, through a social justice, diversity, and inclusive lens.The authors focus on ethics in diverse cultural contexts, help readers understand how social problems and programs get politicized and, sometimes, framed through a racialized lens, show how to engage stakeholders in the evaluation process, and communicate results in culturally appropriate ways. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.

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  • Usability Testing of Medical Devices
    Usability Testing of Medical Devices

    Usability Testing of Medical Devices covers the nitty-gritty of usability test planning, conducting, and results reporting.The book also discusses the government regulations and industry standards that motivate many medical device manufacturers to conduct usability tests. Since publication of the first edition, the FDA and other regulatory groups have modified their regulations and expectations regarding how medical device manufacturers should approach usability testing.Reflecting these changes, this Second Edition provides updated guidance to readers with an interest or direct role in conducting a usability test of a medical device or system.Key updates involve the 2011 FDA guidance on human factors engineering, requirements set forth by the third edition of IEC 60601 and closely related IEC 62366-1:2015, linking usability test tasks to risk analysis results, and analyzing root causes of use errors that occur during usability tests.Written by seasoned human factors specialists, Usability Testing of Medical Devices, Second Edition is an informative, practical, and up-to-date handbook for conducting usability tests of medical devices.The book helps ensure a smooth and painless development process—and thus, safe and effective medical devices.

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  • Time Series Analysis
    Time Series Analysis

    The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series.This book synthesizes these recent advances and makes them accessible to first-year graduate students.James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models.In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data.Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.The book is intended to provide students and researchers with a self-contained survey of time series analysis.It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.

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  • Challenging Learning Through Feedback : How to Get the Type, Tone and Quality of Feedback Right Every Time
    Challenging Learning Through Feedback : How to Get the Type, Tone and Quality of Feedback Right Every Time

    Using feedback to enhance learning Feedback has the potential to dramatically improve student learning – if done correctly.In fact, providing high quality feedback is one of the most critical roles of a teacher.But if feedback is not done correctly it can have a minimal – or even negative effect – on learning.Challenging Learning Through Feedback provides educators with the tools they need to establish clear learning intentions and success criteria in order to craft high quality feedback and avoid common feedback mistakes.Readers will learnWhen feedback is (and isn’t) workingHow to design feedback so that it answers three essential questionsStrategies for crafting clear Learning Intentions and Success CriteriaHow to teach students to give high quality feedback to themselves and othersWritten by educational innovators James Nottingham and Jill Nottingham, this book is full of specific examples for educators who want to understand the qualities of excellent feedback and how to craft it. "Feedback – a noun or a verb? A separate practice or an integral part of the learning process?Something we do ‘to students’ or ‘with students’? The Nottinghams sort it all out for us – the ‘what,’ ‘why,’ and ‘how’ of the process and the practice of feedback."Barb Pitchford, Co-authorLeading Impact Teams: Building a Culture of Efficacy (2016)"Finally a practical book on feedback for teachers!It is written with the teacher in mind, lesson plan in hand, and relevant to all in education.The perfect school-wide study book!"Lisa Cebelak, Education ConsultantGrand Rapids, MI

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  • Should traditional performance evaluation be reconsidered?

    Yes, traditional performance evaluation should be reconsidered. The traditional approach often focuses on past performance and can be subjective, leading to biases and unfair assessments. Instead, organizations should consider adopting a more modern and holistic approach that includes ongoing feedback, coaching, and development opportunities. This approach can provide a more accurate and comprehensive view of an employee's performance and potential for growth.

  • What is a performance assessment?

    A performance assessment is a method of evaluating an individual's or a group's skills, knowledge, and abilities in a real-world context. It involves observing and measuring how well a person or team performs specific tasks or activities related to their job or field of study. Performance assessments often include tasks such as presentations, projects, simulations, or demonstrations, and are designed to provide a more comprehensive and authentic measure of a person's capabilities compared to traditional tests or exams. These assessments are commonly used in education, professional development, and employee evaluations to gauge practical application of learning and skills.

  • Are grades and performance evaluation the same?

    Grades and performance evaluation are not the same. Grades typically reflect a student's performance on specific assignments or exams, while performance evaluation encompasses a broader assessment of an individual's overall work, including their skills, attitude, and contributions. Grades are often based on specific criteria and are more focused on academic achievement, while performance evaluation can take into account a wider range of factors, such as teamwork, communication, and problem-solving abilities. Overall, grades are a subset of performance evaluation, which provides a more comprehensive view of an individual's abilities and contributions.

  • What is the evaluation of NZXT's performance?

    NZXT's performance can be evaluated as strong and successful. The company has a solid reputation in the gaming and PC hardware industry, known for its high-quality products and innovative designs. NZXT has also shown consistent growth and expansion, with a wide range of products and a strong presence in the market. Additionally, the company has received positive reviews from customers and industry experts, further indicating its strong performance.

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  • Practical Time Series Analysis
    Practical Time Series Analysis

    Step by Step guide filled with real world practical examples. About This Book• Get your first experience with data analysis with one of the most powerful types of analysis—time-series. • Find patterns in your data and predict the future pattern based on historical data. • Learn the statistics, theory, and implementation of Time-series methods using this example-rich guideWho This Book Is ForThis book is for anyone who wants to analyze data over time and/or frequency.A statistical background is necessary to quickly learn the analysis methods. What You Will Learn• Understand the basic concepts of Time Series Analysis and appreciate its importance for the success of a data science project• Develop an understanding of loading, exploring, and visualizing time-series data• Explore auto-correlation and gain knowledge of statistical techniques to deal with non-stationarity time series• Take advantage of exponential smoothing to tackle noise in time series data• Learn how to use auto-regressive models to make predictions using time-series data• Build predictive models on time series using techniques based on auto-regressive moving averages• Discover recent advancements in deep learning to build accurate forecasting models for time series• Gain familiarity with the basics of Python as a powerful yet simple to write programming languageIn DetailTime Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations.This book describes special mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights.Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python. The book starts with descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation.Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described.This is followed by exponential smoothing to produce meaningful insights from noisy time series data.At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting.Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge.All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python. The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python. Style and approachThis book takes the readers from the basic to advance level of Time series analysis in a very practical and real world use cases.

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  • Cat & Bug: It's Snack Time!
    Cat & Bug: It's Snack Time!

    In this story in the Cat and Bug series of full-color board books about Cat and his oblivious friend Bug, it's almost but not quite snack time.Bug asks Cat to share his snack early, but by snack time, Cat's snack is all gone.Bug may have a lot to learn, but his friend Cat loves him anyway.This amusing beginner book, with bold, bright illustrations and simple text will show the readers the importance of waiting and of sharing.Introduces young readers to simple vocabulary and dialogue.

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  • Argumentation : Analysis and Evaluation
    Argumentation : Analysis and Evaluation

    This book concentrates on argumentation as it emerges in ordinary discourse, whether the discourse is institutionalized or strictly informal.Crucial concepts from the theory of argumentation are systematically discussed and explained with the help of examples from real-life discourse and texts.The basic principles are explained that are instrumental in the analysis and evaluation of argumentative discourse.Methodical instruments are offered for identifying differences of opinion, analyzing and evaluating argumentation and presenting arguments in oral and written discourse.Attention is also paid to the way in which arguers attempt to be not just reasonable, but effective as well, by maneuvering strategically.In addition, the book provides a great variety of exercises and assignments to improve the student’s skill in presenting argumentation. The authors begin their treatment of argumentation theory at the same juncture where argumentation also starts in practice: The difference of opinion that occasions the evolvement of the argumentation.Each chapter begins with a short summary of the essentials and ends with a number of exercises that students can use to master the material.Argumentation is the first introductory textbook of this kind.It is intended as a general introduction for students who are interested in a proper conduct of argumentative discourse.Suggestions for further reading are made for each topic and several extra assignments are added to the exercises. Special features:• A concise and complete treatment of both the theoretical backgrounds and the practice of argumentation analysis and evaluation. • Crucial concepts from pragmatics (speech act theory, Grice’s cooperative principle) presented in a non-technical way; introducing the theory of verbal communication. • The first textbook treatment of strategic maneuvering as a way of balancing being reasonable with being effective• Exercises and assignments based on real-life texts from a variety of contexts.

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  • Analysis of Financial Time Series
    Analysis of Financial Time Series

    This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data.It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time seriesThe return series of multiple assetsBayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets. The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.

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  • Can the PS4 lose performance over time?

    Yes, the PS4 can lose performance over time due to various factors such as dust accumulation, hardware degradation, and software updates that may not be optimized for older hardware. Dust accumulation can lead to overheating and reduced performance, while hardware degradation can cause components to become less efficient over time. Additionally, as software updates become more demanding, the PS4 may struggle to keep up with the latest games and applications, leading to a decrease in performance. Regular maintenance and cleaning can help mitigate these issues and prolong the lifespan of the PS4.

  • Does anyone have time for an English analysis?

    Yes, I have time for an English analysis. I am here to help with any questions or analysis you may need. Please feel free to ask me anything related to English analysis, and I will be happy to assist you.

  • What is the performance evaluation of Windows 7?

    The performance evaluation of Windows 7 is generally positive. It is known for its stability, speed, and compatibility with a wide range of software and hardware. Many users find it to be a reliable and efficient operating system for everyday use. However, as it is an older operating system, it may not be as optimized for newer hardware and may not have the same level of support and updates as more recent versions of Windows.

  • Could you please give feedback on my analysis?

    I'd be happy to provide feedback on your analysis. Please share your analysis with me and I will review it thoroughly to provide constructive feedback. It's important to be specific about what aspects of the analysis you would like feedback on, so that I can tailor my response to your needs. I look forward to helping you improve your analysis.

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