Автор: Scherbaurm Charles Название: Analysing Quantitative Data for Business and Management Stud ISBN: 1446273539 ISBN-13(EAN): 9781446273531 Издательство: Sage Publications Рейтинг: Цена: 5226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an in-depth yet practical guide for Masters students on basic quantitative methods of analysis, covering the foundations through to the analysis.
Автор: Lyons E & Coyle A Название: Analysing Qualitative Data in Psychology ISBN: 1412907837 ISBN-13(EAN): 9781412907835 Издательство: Sage Publications Рейтинг: Цена: 3483.00 р. Наличие на складе: Поставка под заказ.
Описание: Equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusing on four major methods. To help students and researchers make informed methodological choices about their own research, this book addresses data collection and the writing up of research using each method.
Автор: Scherbaurm Charles, Shockley Kristen Название: Analysing Quantitative Data for Business and Management Students ISBN: 1446273520 ISBN-13(EAN): 9781446273524 Издательство: Sage Publications Рейтинг: Цена: 16790.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an in-depth yet practical guide for Masters students on basic quantitative methods of analysis, covering the foundations through to the analysis.
Автор: Alain Zuur; Elena N. Ieno; Graham M. Smith Название: Analysing Ecological Data ISBN: 1441923578 ISBN-13(EAN): 9781441923578 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a practical introduction to analyzing ecological data using real data sets. It features 17 case studies covering topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader`s own data analysis.
A practical guide to using modern software effectively in quantitative research in the social and natural sciences.
This book offers a practical guide to the computational methods at the heart of most modern quantitative research. It will be essential reading for research assistants needing hands-on experience; students entering PhD programs in business, economics, and other social or natural sciences; and those seeking quantitative jobs in industry. No background in computer science is assumed; a learner need only have a computer with access to the Internet. Using the example as its principal pedagogical device, the book offers tried-and-true prototypes that illustrate many important computational tasks required in quantitative research. The best way to use the book is to read it at the computer keyboard and learn by doing.
The book begins by introducing basic skills: how to use the operating system, how to organize data, and how to complete simple programming tasks. For its demonstrations, the book uses a UNIX-based operating system and a set of free software tools: the scripting language Python for programming tasks; the database management system SQLite; and the freely available R for statistical computing and graphics. The book goes on to describe particular tasks: analyzing data, implementing commonly used numerical and simulation methods, and creating extensions to Python to reduce cycle time. Finally, the book describes the use of LaTeX, a document markup language and preparation system.
