Méthodes quantitatives et analyse de données PDF Download

Author: Gérald Baillargeon
Publisher:
ISBN:
Category :
Languages : fr
Pages :

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Author: Gérald Baillargeon
Publisher:
ISBN: 9782890940550
Category :
Languages : fr
Pages : 308

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Author: Gérald Baillargeon
Publisher:
ISBN: 9782890940987
Category :
Languages : fr
Pages : 175

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Author: Gérald Baillargeon
Publisher: Trois-Rivières Ouest [Québec] : Éditions SMG
ISBN: 9782890940970
Category : Electronic spreadsheets
Languages : fr
Pages : 670

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Author:
Publisher:
ISBN:
Category :
Languages : fr
Pages : 436

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Author: Henri Savall
Publisher: IAP
ISBN: 1617354775
Category : Business & Economics
Languages : en
Pages : 441

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The impetus for this work emerged from Savall’s belief that there is a doubleloop interaction between social and economic factors in organizations, between behaviors and structures, and between the quality of life in organizations and their economic performance. When managers underestimate this dynamic interaction, the resulting tension ultimately manifests in lowered performance and increased costs, what he refers to as the “hidden costs” of organizational life. Only by delving into the depths of these organizational dynamics can we hope to fully understand – and create the basis for improving – organizational performance. The Qualimetrics Approach presents a different and challenging way of thinking about analyzing organizations, one that draws together quantitative information, financial analysis and qualitative insights into organizational dynamics. As Savall and Zardet argue, to gain a true understanding of what is happening in organizations, intervener-researchers must focus on all three perspectives, as ignoring any one of them will lead to incomplete understandings. Their approach underscores the importance of using qualitative data to validate quantitative depictions (“the numbers”) of organizational performance in understanding the construction of financial statements. The strength of Savall and Zardet’s approach is that it pushes us to go deeper, to fully understand the narratives underlying the numbers and the social construction of our financial assessments.

Author: Willem Mertens
Publisher: Springer
ISBN: 3319427008
Category : Computers
Languages : en
Pages : 170

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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. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

Author: Jean Moscarola
Publisher:
ISBN: 9782376871323
Category :
Languages : fr
Pages : 257

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Author: Raymond A Kent
Publisher: SAGE
ISBN: 1473917913
Category : Social Science
Languages : en
Pages : 425

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This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research. Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis. The book is divided into four clear sections: Data and their presentation Variable-based analyses Case-based analyses Comparing and combining approaches Clear, original and written for students this book should be compulsory reading for anyone looking to conduct non-experimental quantitative data analysis.

Author: Tiffany Bergin
Publisher: SAGE
ISBN: 1526452316
Category : Social Science
Languages : en
Pages : 363

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Book Description
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.