Exploratory Factor Analysis

Download Exploratory Factor Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Exploratory Factor Analysis book now. This site is like a library, Use search box in the widget to get ebook that you want.

If the content Exploratory Factor Analysis not Found or Blank , you must refresh this page manually.

Exploratory Factor Analysis


Exploratory Factor Analysis
DOWNLOAD
READ ONLINE

Download Exploratory Factor Analysis PDF/ePub, Mobi eBooks by Click Download or Read Online button. Instant access to millions of titles from Our Library and it’s FREE to try! All books are in clear copy here, and all files are secure so don't worry about it.



Exploratory Factor Analysis


Exploratory Factor Analysis
DOWNLOAD
READ ONLINE


Author : Leandre R. Fabrigar
language : en
Publisher: Oxford University Press
Release Date : 2012-01-12

Exploratory Factor Analysis written by Leandre R. Fabrigar and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-12 with Medical categories.


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.

A Step By Step Guide To Exploratory Factor Analysis With R And Rstudio


A Step By Step Guide To Exploratory Factor Analysis With R And Rstudio
DOWNLOAD
READ ONLINE


Author : Marley W. Watkins
language : en
Publisher: Routledge
Release Date : 2020-12-30

A Step By Step Guide To Exploratory Factor Analysis With R And Rstudio written by Marley W. Watkins and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-30 with Psychology categories.


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.

Exploratory Factor Analysis


Exploratory Factor Analysis
DOWNLOAD
READ ONLINE


Author : W. Holmes Finch
language : en
Publisher: SAGE Publications
Release Date : 2019-09-05

Exploratory Factor Analysis written by W. Holmes Finch and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-05 with Social Science categories.


A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in EFA. The concluding chapter addresses a number of other key issues in EFA, such as determining the appropriate sample size for a given research problem, and the handling of missing data. It also offers brief introductions to exploratory structural equation modeling, and multilevel models for EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website.

Exploratory Factor Analysis


Exploratory Factor Analysis
DOWNLOAD
READ ONLINE


Author : Diana Mindrila
language : en
Publisher:
Release Date : 2017-10

Exploratory Factor Analysis written by Diana Mindrila and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10 with Education categories.


In education, researchers often work with complex data sets that include a multitude of variables. One question that often arises in such contexts is whether the structure of associations that underlies the data is accounted for by a latent construct. Exploratory factor analysis is a multivariate correlational procedure that helps researchers overcome such challenges. It helps reduce large data sets into main components or identify distinct constructs that account for the pattern of correlations among observed variables. These unobservable constructs are referred to as common factors, latent variables, or internal attributes, and they exert linear influences on more than one observed variable. Although exploratory factor analysis is widely used, many applied educational researchers and practitioners are not yet familiar with this procedure and are intimidated by the technical terminology. This book provides a conceptual description of this method and includes a collection of applied research studies that illustrates the application of exploratory factor analysis in school improvement research. The first chapter provides a theoretical overview of exploratory factor analysis. It explains the purposes for which this procedure can be used, the related terminology, the distinction between key concepts, the steps that must be taken, and the criteria for making the decisions. This information can serve as a starting point for researchers who need a brief, conceptual introduction to this topic. The following chapters present a series of research studies in which exploratory factor analysis was employed either by itself or in conjunction with other statistical procedures. The studies presented in this book address a variety of research problems in the field of school improvement. They specify how the factor analytic procedure was applied, and explain the theoretical contributions and the practical applications of the factor analytic results. In most studies, results from factor analysis were used for subsequent statistical procedures, thus helping researchers address more complex research questions and enriching the results.

Exploratory Factor Analysis With Sas


Exploratory Factor Analysis With Sas
DOWNLOAD
READ ONLINE


Author : Erin S Banjanovic
language : en
Publisher: Independently Published
Release Date : 2020-11-13

Exploratory Factor Analysis With Sas written by Erin S Banjanovic and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with categories.


Explore the mysteries of Exploratory Factor Analysis (EFA) with SAS with an applied and user-friendly approach.Exploratory Factor Analysis with SAS focuses solely on EFA, presenting a thorough and modern treatise on the different options, in accessible language targeted to the practicing statistician or researcher. This book provides real-world examples using real data, guidance for implementing best practices in the context of SAS, interpretation of results for end users, and it provides resources on the book's author page. Faculty teaching with this book can utilize these resources for their classes, and individual users can learn at their own pace, reinforcing their comprehension as they go.Exploratory Factor Analysis with SAS reviews each of the major steps in EFA: data cleaning, extraction, rotation, interpretation, and replication. The last step, replication, is discussed less frequently in the context of EFA but, as we show, the results are of considerable use. Finally, two other practices that are commonly applied in EFA, estimation of factor scores and higher-order factors, are reviewed. Best practices are highlighted throughout the chapters.A rudimentary working knowledge of SAS is required but no familiarity with EFA or with the SAS routines that are related to EFA is assumed.

An Easy Guide To Factor Analysis


An Easy Guide To Factor Analysis
DOWNLOAD
READ ONLINE


Author : Paul Kline
language : en
Publisher: Routledge
Release Date : 2014-02-25

An Easy Guide To Factor Analysis written by Paul Kline and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-25 with Psychology categories.


Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, and concludes with a discussion of the use of the technique with various examples. An Easy Guide to Factor Analysis is the clearest, most comprehensible introduction to factor analysis for students. All those who need to use statistics in psychology and the social sciences will find it invaluable. Paul Kline is Professor of Psychometrics at the University of Exeter. He has been using and teaching factor analysis for thirty years. His previous books include Intelligence: the psychometric view (Routledge 1990) and The Handbook of Psychological Testing (Routledge 1992).

Best Practices In Exploratory Factor Analysis


Best Practices In Exploratory Factor Analysis
DOWNLOAD
READ ONLINE


Author : Jason W. Osborne
language : en
Publisher: Createspace Independent Pub
Release Date : 2014-07-23

Best Practices In Exploratory Factor Analysis written by Jason W. Osborne and has been published by Createspace Independent Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-23 with Psychology categories.


Best Practices in Exploratory Factor Analysis (EFA) is a practitioner-oriented look at this popular and often-misunderstood statistical technique. We avoid formulas and matrix algebra, instead focusing on evidence-based best practices so you can focus on getting the most from your data. Each chapter reviews important concepts, uses real-world data to provide authentic examples of analyses, and provides guidance for interpreting the results of these analysis. Not only does this book clarify often-confusing issues like various extraction techniques, what rotation is really rotating, and how to use parallel analysis and MAP criteria to decide how many factors you have, but it also introduces replication statistics and bootstrap analysis so that you can better understand how precisely your data are helping you estimate population parameters. Bootstrap analysis also informs readers of your work as to the likelihood of replication, which can give you more credibility. At the end of each chapter, the author has recommendations as to how to enhance your mastery of the material, including access to the data sets used in the chapter through his web site. Other resources include syntax and macros for easily incorporating these progressive aspects of exploratory factor analysis into your practice. The web site will also include enrichment activities, answer keys to select exercises, and other resources. The fourth "best practices" book by the author, Best Practices in Exploratory Factor Analysis continues the tradition of clearly-written, accessible guides for those just learning quantitative methods or for those who have been researching for decades. NEW in August 2014! Chapters on factor scores, higher-order factor analysis, and reliability. Chapters: 1 INTRODUCTION TO EXPLORATORY FACTOR ANALYSIS 2 EXTRACTION AND ROTATION 3 SAMPLE SIZE MATTERS 4 REPLICATION STATISTICS IN EFA 5 BOOTSTRAP APPLICATIONS IN EFA 6 DATA CLEANING AND EFA 7 ARE FACTOR SCORES A GOOD IDEA? 8 HIGHER ORDER FACTORS 9 AFTER THE EFA: INTERNAL CONSISTENCY 10 SUMMARY AND CONCLUSIONS