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| Author | : Timothy A. Brown |
| Publisher | : Guilford Publications |
| Total Pages | : 482 |
| Release | : 2015-01-07 |
| Genre | : Science |
| ISBN | : 146251779X |
Download Confirmatory Factor Analysis for Applied Research, Second Edition Book in PDF, ePub and Kindle
This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ...
| Author | : Rudolf J. Rummel |
| Publisher | : Northwestern University Press |
| Total Pages | : 644 |
| Release | : 1988 |
| Genre | : Mathematics |
| ISBN | : 9780810108240 |
Download Applied Factor Analysis Book in PDF, ePub and Kindle
Applied Factor Analysis was written to help others apply factor analysis throughout the sciences with the conviction that factor analysis is a calculus of the social sciences. The book developed from research undertaken to do a 236-variable cross-national analysis.
| Author | : Richard A. Reyment |
| Publisher | : Cambridge University Press |
| Total Pages | : 388 |
| Release | : 1996-09-28 |
| Genre | : Mathematics |
| ISBN | : 9780521575560 |
Download Applied Factor Analysis in the Natural Sciences Book in PDF, ePub and Kindle
This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory.
| Author | : Richard L. Gorsuch |
| Publisher | : Routledge |
| Total Pages | : 465 |
| Release | : 2014-11-27 |
| Genre | : Psychology |
| ISBN | : 1317564898 |
Download Factor Analysis Book in PDF, ePub and Kindle
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.
| Author | : Marley Watkins |
| Publisher | : Routledge |
| Total Pages | : 199 |
| Release | : 2020-12-29 |
| Genre | : Psychology |
| ISBN | : 1000336565 |
Download A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio Book in PDF, ePub and Kindle
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. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio 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 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.
| Author | : Edward E. Cureton |
| Publisher | : Psychology Press |
| Total Pages | : 480 |
| Release | : 2013-11-19 |
| Genre | : Psychology |
| ISBN | : 1317759656 |
Download Factor Analysis Book in PDF, ePub and Kindle
First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.
| Author | : Rudolph J. Rummel |
| Publisher | : |
| Total Pages | : 617 |
| Release | : 1977 |
| Genre | : |
| ISBN | : |
Download Applied Factor Analysis Book in PDF, ePub and Kindle
| Author | : Leandre R. Fabrigar |
| Publisher | : Oxford University Press |
| Total Pages | : 170 |
| Release | : 2012-01-12 |
| Genre | : Medical |
| ISBN | : 0199734178 |
Download Exploratory Factor Analysis Book in PDF, ePub and Kindle
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.
| Author | : Timothy A. Brown |
| Publisher | : Guilford Publications |
| Total Pages | : 483 |
| Release | : 2014-12-29 |
| Genre | : Psychology |
| ISBN | : 1462517811 |
Download Confirmatory Factor Analysis for Applied Research Book in PDF, ePub and Kindle
With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (www.guilford.com/brown3-materials) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages.
| Author | : Marjorie A. Pett |
| Publisher | : SAGE |
| Total Pages | : 369 |
| Release | : 2003-03-21 |
| Genre | : Mathematics |
| ISBN | : 0761919503 |
Download Making Sense of Factor Analysis Book in PDF, ePub and Kindle
Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs. This accessible volume will help both novice and experienced health care professionals to Increase their knowledge of the use of factor analysis in health care research Understand journal articles that report the use of factor analysis in test construction and instrument development Create new data collection instruments Examine the reliability and structure of existing health care instruments Interpret and report computer-generated output from a factor analysis run Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers.
