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

Author: Marley W. Watkins

Publisher: Routledge

Published: 2021-09-08

Total Pages: 210

ISBN-13: 1000426858

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

Author: Marley W. Watkins

Publisher: Routledge

Published: 2020-12-30

Total Pages: 227

ISBN-13: 1000336824

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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.

Market Research

Author: Erik Mooi

Publisher: Springer

Published: 2017-11-01

Total Pages: 429

ISBN-13: 9811052182

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This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata. The book offers readers an overview of the entire market research process from asking market research questions to collecting and analyzing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights.

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

Author: Marley Watkins

Publisher: Routledge

Published: 2020-12-29

Total Pages: 199

ISBN-13: 1000336565

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

Author: Marley W. Watkins

Publisher: Routledge

Published: 2021-06-21

Total Pages: 210

ISBN-13: 1000400271

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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 Spss

Author: Marley W. Watkins

Publisher:

Published: 2021

Total Pages: 204

ISBN-13: 9780367710316

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Learn to Perform Confirmatory Factor Analysis in Stata with Data from the General Social Survey (2016)

Author: Catherine Zimmer

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9781529700091

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This example introduces readers to confirmatory factor analysis (CFA). CFA is used to model how well latent variables are related to multiple observed variables that serve as measurements of the latent variables. In contrast to exploratory factor analysis (EFA), the links of particular latent variables to particular observed variables are specified in advance and tested statistically, not derived from the data. CFA is a type of structural equation model (SEM) used for measurement of concepts. These measurement models can be components of larger SEM models with latent variables being predictors of other variables or outcomes. This example introduces readers to the basic theory and assumptions associated with CFA, estimators and the interpretation of estimates, the associated hypothesis tests, results production, and reporting. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Stata.

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

Author: Marley W. Watkins

Publisher: Routledge

Published: 2021

Total Pages: 184

ISBN-13: 9781003120001

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"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"--

Discovering Structural Equation Modeling Using Stata 13 (Revised Edition)

Author: Alan C. Acock

Publisher: Stata Press

Published: 2013-09-10

Total Pages: 306

ISBN-13: 9781597181396

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Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning. A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text.