Автор: Watkins, Marley W. Название: Step-by-step guide to exploratory factor analysis with spss ISBN: 0367710315 ISBN-13(EAN): 9780367710316 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS.In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots and code from SPSS 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 to help facilitate grasp of the key issues users will face while 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.
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 Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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 Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Fabrigar, Leandre R. Wegener, Duane T. Название: Exploratory factor analysis ISBN: 0199734178 ISBN-13(EAN): 9780199734177 Издательство: Oxford Academ Рейтинг: Цена: 48040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a non-mathematical introduction to the theory and application of Exploratory Factor Analysis. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, and procedures for determining the appropriate number of factors.
Автор: Watkins Marley W. Название: A Step-By-Step Guide to Exploratory Factor Analysis with SPSS ISBN: 0367711117 ISBN-13(EAN): 9780367711115 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using SPSS.
Автор: Watkins, Marley W. Название: Step-by-step guide to exploratory factor analysis with r and rstudio ISBN: 0367634686 ISBN-13(EAN): 9780367634681 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R.
Автор: Watkins Marley W. Название: A Step-by-Step Guide to Exploratory Factor Analysis with Stata ISBN: 0367710994 ISBN-13(EAN): 9780367710996 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata.
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 Рейтинг: Цена: 121440.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Husson, Francois Le, Sebastien Pages, Jerome Название: Exploratory multivariate analysis by example using r ISBN: 036765802X ISBN-13(EAN): 9780367658021 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis.
Название: Foundations of Factor Analysis, Second Edition ISBN: 1420099612 ISBN-13(EAN): 9781420099614 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offering understanding of how factor analysis works, this book discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling.
Автор: Cureton Название: Factor Analysis ISBN: 1138179248 ISBN-13(EAN): 9781138179240 Издательство: Taylor&Francis Рейтинг: Цена: 38780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.
Автор: Gorsuch Richard Название: Factor Analysis: Classic Second Edition ISBN: 1138831999 ISBN-13(EAN): 9781138831995 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use.
Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today.
An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book's thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.
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