Описание: The bestseller that pioneered the comparison of qualitative, quantitative, and mixed methods research design continues in its Fifth Edition to help students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis.
Автор: Friese, Susanne Название: Qualitative data analysis with atlas.ti ISBN: 1526458926 ISBN-13(EAN): 9781526458926 Издательство: Sage Publications Рейтинг: Цена: 7443.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Now updated to cover latest versions and featuring instructions for both Mac and Windows users, this book is still the go-to source of support for getting to grips with qualitative data analysis using ATLAS.ti.
Автор: Woolf, Nicholas H. Silver, Christina (university Of Surrey, Uk) Название: Qualitative analysis using atlas.ti ISBN: 1138743658 ISBN-13(EAN): 9781138743656 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The method of Five-Level QDA (R) helps researchers to analyse what makes for an expert analytic performance when using qualitative data analysis software. Written by experienced trainers, this practical guide to ATLAS.ti will allow qualitative researchers to increase the effectiveness of their data analysis.
Автор: Flick Uwe Название: Sage Handbook of Qualitative Data Analysis ISBN: 1446208982 ISBN-13(EAN): 9781446208984 Издательство: Sage Publications Рейтинг: Цена: 24552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first handbook to provide a state-of-the-art overview of the whole field of QDA, and a must-have for all qualitative researchers
Автор: Munzner Название: Visualization Analysis and Design ISBN: 1466508914 ISBN-13(EAN): 9781466508910 Издательство: Taylor&Francis Рейтинг: Цена: 10717.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Learn How to Design Effective Visualization Systems
Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.
The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.
The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human-computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.
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