Описание: New edition of a classic reference work recognizes recent developments in information literacy--including finding, evaluating, and citing a wide range of digital sources--and the evolving use of software for citation management, graphics, and paper format and submission while continuing to reflect best practices for research and writing.
Автор: Verma, J. P. Verma, Priyam Название: Determining sample size and power in research studies ISBN: 9811552037 ISBN-13(EAN): 9789811552038 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions.
Описание: Social Research and Disability emphasizes how disabled researchers negotiate the empirical process, in light of disability, whilst retaining the scientific rigour of the method.
Описание: Learning how to manage, share and preserve data is essential for active researchers. A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data.
Автор: Saldana, Johnny Название: Coding manual for qualitative researchers ISBN: 1529731747 ISBN-13(EAN): 9781529731743 Издательство: Sage Publications Рейтинг: Цена: 12645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This invaluable manual from world-renowned expert Johnny Saldana illuminates the process of qualitative coding and provides clear, insightful guidance for qualitative researchers at all levels.
Описание: When Kate L. Turabian first put her famous guidelines to paper, she could hardly have imagined the world in which today's students would be conducting research. Yet while the ways in which we research and compose papers may have changed, the fundamentals remain the same: writers need to have a strong research question, construct an evidence-based argument, cite their sources, and structure their work in a logical way. A Manual for Writers of Research Papers, Theses, and Dissertations--also known as "Turabian"--remains one of the most popular books for writers because of its timeless focus on achieving these goals. This new edition filters decades of expertise into modern standards. While previous editions incorporated digital forms of research and writing, this edition goes even further to build information literacy, recognizing that most students will be doing their work largely or entirely online and on screens. Chapters include updated advice on finding, evaluating, and citing a wide range of digital sources and also recognize the evolving use of software for citation management, graphics, and paper format and submission. The ninth edition is fully aligned with the recently released Chicago Manual of Style, 17th edition, as well as with the latest edition of The Craft of Research. Teachers and users of the previous editions will recognize the familiar three-part structure. Part 1 covers every step of the research and writing process, including drafting and revising. Part 2 offers a comprehensive guide to Chicago's two methods of source citation: notes-bibliography and author-date. Part 3 gets into matters of editorial style and the correct way to present quotations and visual material. A Manual for Writers also covers an issue familiar to writers of all levels: how to conquer the fear of tackling a major writing project. Through eight decades and millions of copies, A Manual for Writers has helped generations shape their ideas into compelling research papers. This new edition will continue to be the gold standard for college and graduate students in virtually all academic disciplines.
Автор: Johnny Saldana Название: The Coding Manual for Qualitative Researchers ISBN: 1529755999 ISBN-13(EAN): 9781529755992 Издательство: Sage Publications Рейтинг: Цена: 4750.00 р. Наличие на складе: Поставка под заказ.
Описание:
This invaluable manual from world-renowned expert Johnny Saldaña illuminates the process of qualitative coding and provides clear, insightful guidance for qualitative researchers at all levels. The fourth edition includes a range of updates that build upon the huge success of the previous editions:
A structural reformat has increased accessibility; the 3 sections from the previous edition are now spread over 15 chapters for easier sectional reference
There are two new first cycle coding methods join the 33 others in the collection: Metaphor Coding and Themeing the Data: Categorically
Includes a brand new companion website with links to SAGE journal articles, sample transcripts, links to CAQDAS sites, student exercises, links to video and digital content
Analytic software screenshots and academic references have been updated, alongside several new figures added throughout the manual
It remains the only book that looks specifically at coding qualitative data, as a core but often neglected skill that researchers and students alike need to effectively make sense of their data and to identify patterns, before they can analyse the material.
Saldana presents a range of coding options with advantages and disadvantages to help researchers to choose the most appropriate approach for their project, reinforcing their perspective with real world examples, used to show step-by-step processes and to demonstrate important skills.
Автор: Johnny Saldana Название: The Coding Manual for Qualitative Researchers ISBN: 1529731755 ISBN-13(EAN): 9781529731750 Издательство: Sage Publications Рейтинг: Цена: 21226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This invaluable manual from world-renowned expert Johnny Saldana illuminates the process of qualitative coding and provides clear, insightful guidance for qualitative researchers at all levels.
Описание: The Knowledge Translation Toolkit provides a thorough overview of what knowledge translation (KT) is and how to use it most effectively to bridge the "know-do" gap between research, policy, practice, and people. It presents the theories, tools, and strategies required to encourage and enable evidence-informed decision-making.Drawing from the experience of specialists in relevant disciplines around the world, this toolkit builds upon extensive research into the principles and skills of KT: its theory and literature, its evolution, strategies, and challenges. The book covers an array of crucial KT enablers-from context mapping to evaluative thinking-supported by practical examples, implementation guides, and references.
Описание: Valuation is at the heart of every investment decision, whether that decision is to buy, sell, or hold. But the pricing of any financial asset has become a more complex task in modern financial markets. Now completely revised and fully updated to reflect changing market conditions, "Investment Valuation", Second Edition, provides expert instruction on how to value virtually any type of asset-stocks, bonds, options, futures, real assets, and much more. Noted valuation authority and acclaimed NYU finance professor Aswath Damodaran uses real-world examples and valuation tools as he guides the reader through the theory and application of valuation models a highlights their strengths and weaknesses. Expanded coverage addresses: valuation of unconventional assets, financial service firms, start-ups, private companies, dot-coms, and many other traditionally valued assets; risk in foreign countries and how best to deal with it; using real option theory and option pricing models in valuing business and equity; the models used to value different types of assets and the elements of these models; how to choose the right model for any given asset valuation scenario; online real-time valuations that are continually updated online. A guide for those who need to know more about the tricky business of valuation, "Investment Valuation", Second Edition, should be a valuable asset for anyone learning about this part of the investment process.
Описание: This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts.
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