A Step-by-Step Guide to Exploratory Factor Analysis with SPSS

2021-06-21

PDF A Step-by-Step Guide to Exploratory Factor Analysis with SPSS Download

Author: Marley W. Watkins
Publisher: Routledge
ISBN: 1000400271
Category : Computers
Languages : en
Pages : 210

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.

A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

2020-12-30

PDF A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio Download

Author: Marley W. Watkins
Publisher: Routledge
ISBN: 1000336824
Category : Psychology
Languages : en
Pages : 227

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.

A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

2020-12-29

PDF A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio Download

Author: Marley W. Watkins
Publisher: Routledge
ISBN: 1000336565
Category : Psychology
Languages : en
Pages : 184

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.

A Step-by-Step Guide to Exploratory Factor Analysis with Stata

2021-09-08

PDF A Step-by-Step Guide to Exploratory Factor Analysis with Stata Download

Author: Marley W. Watkins
Publisher: Routledge
ISBN: 1000426858
Category : Psychology
Languages : en
Pages : 210

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.

A Step-by-Step Guide to Exploratory Factor Analysis with Stata

2021-09-08

PDF A Step-by-Step Guide to Exploratory Factor Analysis with Stata Download

Author: Marley Watkins
Publisher: Taylor & Francis
ISBN: 1000426831
Category : Psychology
Languages : en
Pages : 209

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.

A Step-By-Step Guide to Exploratory Factor Analysis with R and RStudio

2021

PDF A Step-By-Step Guide to Exploratory Factor Analysis with R and RStudio Download

Author: Marley W. Watkins
Publisher: Routledge
ISBN: 9781003120001
Category : Psychology
Languages : en
Pages : 184

"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 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"--

Best Practices in Exploratory Factor Analysis

2014-07-23

PDF Best Practices in Exploratory Factor Analysis Download

Author: Jason W. Osborne
Publisher: Createspace Independent Publishing Platform
ISBN: 9781500594343
Category : Factor analysis
Languages : en
Pages : 0

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

Exploratory Factor Analysis

2012-01-12

PDF Exploratory Factor Analysis Download

Author: Leandre R. Fabrigar
Publisher: Oxford University Press
ISBN: 0199734178
Category : Medical
Languages : en
Pages : 170

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.

Structural Equation Modelling Made Easy for Business and Social Science Research Using SPSS and AMOS

2020-02-08

PDF Structural Equation Modelling Made Easy for Business and Social Science Research Using SPSS and AMOS Download

Author: Sheena Lovia Boateng
Publisher:
ISBN:
Category :
Languages : en
Pages : 234

You are welcome to the Second Edition of Structural Equation Modelling (SEM) Made Easy for Business and Social Science Research Using SPSS and Amos. This book seeks to provide a simple practical guide to conducting quantitative data analysis. First, it presents an overview of quantitative research, by explaining different types of variables and the formulation and testing of hypotheses. Second, it presents the rubrics for designing quantitative questionnaires, explains sampling and illustrates how to determine sample size. Third, the book also explains descriptive statistics and how to conduct and present descriptive statistics in a research write-up. Fourth, it provides a step by step process to carrying out exploratory factor analysis and procedures for interpreting related outputs from the statistical software package, SPSS. Fifth, it teaches how to establish reliability and validity in quantitative research. Finally, the book explains the basics of Structural Equation Modelling (SEM) and demonstrates the two-step approach to SEM analysis, the foundational concepts of measurement models, structural models, Confirmatory Factor Analysis (CFA) and Path Analysis (PA). It also teaches how to run SEM analysis using Amos, and how to interpret the resulting output. This Second Edition also explains how to perform Heterotrait-Monotrait (HTMT) analysis (in Microsoft Excel) and how to choose between exploratory factor analysis and confirmatory factor analysis for SEM. This book is essential for anyone involved in business and social science research. Its purpose is not to create a 'one best format', but to offer a practical guide in analyzing quantitative data and presenting such analysis in research papers, long essays, theses and dissertations.

Quantitative Data Analysis with IBM SPSS 17, 18 & 19

2012-08-21

PDF Quantitative Data Analysis with IBM SPSS 17, 18 & 19 Download

Author: Alan Bryman
Publisher: Routledge
ISBN: 1136588892
Category : Psychology
Languages : en
Pages : 410

This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regression Analysis of variance and covariance Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms. The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.