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

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: 116790.00 T
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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.

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110848252X ISBN-13(EAN): 9781108482523
Издательство: Cambridge Academ
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Цена: 102430.00 T
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Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

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: 116160.00 T
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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.

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: 20050.00 T
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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.

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: 63360.00 T
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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.

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 164113237X ISBN-13(EAN): 9781641132374
Издательство: Mare Nostrum (Eurospan)
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Цена: 50820.00 T
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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.

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 1641132388 ISBN-13(EAN): 9781641132381
Издательство: Mare Nostrum (Eurospan)
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Цена: 94250.00 T
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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.

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: 104550.00 T
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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.

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: 1108435041 ISBN-13(EAN): 9781108435048
Издательство: Cambridge Academ
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Цена: 33790.00 T
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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.

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: 38010.00 T
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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.

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: 115110.00 T
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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.

Автор: Hans-Hermann Bock; Wolfgang Lenski; Michael M. Ric
Название: Information Systems and Data Analysis
ISBN: 3540580573 ISBN-13(EAN): 9783540580577
Издательство: Springer
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Цена: 121110.00 T
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Описание: Proceedings of the 17th Annual Conference of the Gesellschaft fur Klassifikation e.V., University of Kaiserslautern, March 3 - 5, 1993