Exploratory and descriptive statistics, Scott Jones, Julie Goldring

Автор: Wouter De Nooy, Andrej Mrvar, Vladimir Batagelj
Название: Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software
ISBN: 1108474144 ISBN-13(EAN): 9781108474146
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.

Автор: Wouter De Nooy, Andrej Mrvar, Vladimir Batagelj
Название: Exploratory Social Network Analysis with Pajek. Revised and Expanded Edition for Updated Software
ISBN: 1108462278 ISBN-13(EAN): 9781108462273
Издательство: Cambridge Academ
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Цена: 6494.00 р.
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Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.

Автор: Watkins, Marley W.
Название: Step-by-step guide to exploratory factor analysis with stata
ISBN: 0367710323 ISBN-13(EAN): 9780367710323
Издательство: Taylor&Francis
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Цена: 7195.00 р.
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Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face when applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.