Analysing quantitative data variable based par kent raymond (12 résultats)

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Paperback. Etat : Brand New. 349 pages. 9.25x6.50x1.00 inches. In Stock.

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In covering both traditional and newer approaches, and presenting them alongside each other, and by consistently referring to two data sets throughout, this book provides students with a brand-new way of understanding methods and a tool with which they can think about their own research.…

Taschenbuch. Etat : Neu. Analysing Quantitative Data | Variable-based and Case-based Approaches to Non-experimental Datasets | Raymond A. Kent | Taschenbuch | Englisch | 2015 | SAGE Publications Ltd | EAN 9781446273418 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In covering both traditional and newer approaches, and presenting them alongside each other, and by consistently referring to two data sets throughout, this book provides students with a brand-new way of understanding methods and a tool with which they can .…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…