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Quantitative Data Analysis: A Companion for Accounting and Information Systems Research, Mertens Willem, Pugliese Amedeo, Recker Jan


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Автор: Mertens Willem, Pugliese Amedeo, Recker Jan
Название:  Quantitative Data Analysis: A Companion for Accounting and Information Systems Research
ISBN: 9783319826400
Издательство: Springer
Классификация:




ISBN-10: 3319826409
Обложка/Формат: Paperback
Страницы: 164
Вес: 0.25 кг.
Дата издания: 14.06.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 20 illustrations, color; 9 illustrations, black and white; x, 164 p. 29 illus., 20 illus. in color.
Размер: 23.39 x 15.60 x 0.97 cm
Читательская аудитория: General (us: trade)
Подзаголовок: A companion for accounting and information systems research
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions.


Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 5 ed.

Автор: Creswell, John W. Creswell, J. David
Название: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 5 ed.
ISBN: 1506386768 ISBN-13(EAN): 9781506386768
Издательство: Sage Publications
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Цена: 17519.00 р.
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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.

Qualitative Data Analysis with NVivo

Автор: Kristi Jackson, Patricia Bazeley
Название: Qualitative Data Analysis with NVivo
ISBN: 1526449935 ISBN-13(EAN): 9781526449931
Издательство: Sage Publications
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Цена: 17424.00 р.
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Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.

Quantitative longitudinal data analysis

Автор: Gayle, Professor Vernon (university Of Edinburgh, Uk) Lambert, Dr Paul (university Of Stirling, Uk)
Название: Quantitative longitudinal data analysis
ISBN: 1350188859 ISBN-13(EAN): 9781350188853
Издательство: Bloomsbury Academic
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Цена: 3008.00 р.
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Описание: First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series.Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.

Quantitative longitudinal data analysis

Автор: Gayle, Professor Vernon (university Of Edinburgh, Uk) Lambert, Dr Paul (university Of Stirling, Uk)
Название: Quantitative longitudinal data analysis
ISBN: 1350188840 ISBN-13(EAN): 9781350188846
Издательство: Bloomsbury Academic
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Цена: 9504.00 р.
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Описание:

First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series.

Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses.

This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.

Using classification and regression trees

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 164113237X ISBN-13(EAN): 9781641132374
Издательство: Mare Nostrum (Eurospan)
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Цена: 7623.00 р.
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Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.

Using classification and regression trees

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 1641132388 ISBN-13(EAN): 9781641132381
Издательство: Mare Nostrum (Eurospan)
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Цена: 14137.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.

The Production of Knowledge: Enhancing Progress in Social Science

Автор: Colin Elman, John Gerring, James Mahoney
Название: The Production of Knowledge: Enhancing Progress in Social Science
ISBN: 1108708285 ISBN-13(EAN): 9781108708289
Издательство: Cambridge Academ
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Цена: 5702.00 р.
Наличие на складе: Поставка под заказ.

Описание: A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency, replication, and reliability. Rather than focusing on individual studies or methods, this book examines how collective institutions and practices have (often unintended) impacts on the production of knowledge.

The Production of Knowledge: Enhancing Progress in Social Science

Автор: Colin Elman, John Gerring, James Mahoney
Название: The Production of Knowledge: Enhancing Progress in Social Science
ISBN: 1108486770 ISBN-13(EAN): 9781108486774
Издательство: Cambridge Academ
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Цена: 17266.00 р.
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Описание: A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency, replication, and reliability. Rather than focusing on individual studies or methods, this book examines how collective institutions and practices have (often unintended) impacts on the production of knowledge.

Data Analysis and Information Systems

Автор: Hans-Hermann Bock; Wolfgang Polasek
Название: Data Analysis and Information Systems
ISBN: 3540607749 ISBN-13(EAN): 9783540607748
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Proceedings of the 19th Annual Conference of the Gesell- schaft fur Klassifikation e.V. University of Basel, March 8-10, 1995.

Business Analytics

Автор: Vidgen Richard
Название: Business Analytics
ISBN: 1352007258 ISBN-13(EAN): 9781352007251
Издательство: Springer
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Цена: 7406.00 р.
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Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Information, Accountability, and Cumulative Learning: Lessons from Metaketa I

Автор: Thad Dunning, Guy Grossman, Macartan Humphreys, Susan D. Hyde, Craig McIntosh, Gareth Nellis
Название: Information, Accountability, and Cumulative Learning: Lessons from Metaketa I
ISBN: 1108422284 ISBN-13(EAN): 9781108422284
Издательство: Cambridge Academ
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Цена: 15682.00 р.
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Описание: Examines a set of voter information campaigns worldwide to assess their effectiveness, and develops a new social science research model aimed at cumulative learning. It will appeal to academics and practitioners looking for innovative ways to conduct social science research that is rigorous, policy-relevant, and cumulative.

Becoming a researcher: a research companion for the social sciences

Автор: Dunne, Mairead
Название: Becoming a researcher: a research companion for the social sciences
ISBN: 0335213944 ISBN-13(EAN): 9780335213948
Издательство: McGraw-Hill
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Цена: 5318.00 р.
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Описание: This innovative book combines what most books separate: research as practical activity and research as intellectual engagement. It clarifies and makes explicit the methodological issues that underlie the journey from initial research idea to the finished report and beyond.


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