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

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Title: A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
Description: 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.
Authors: Marley Watkins
Resource Type: eBook.
Subjects: Factor analysis--Computer programs, R (Computer program language)
Categories: PSYCHOLOGY / General, PSYCHOLOGY / Human Sexuality, PSYCHOLOGY / Mental Health
Database: eBook Collection (EBSCOhost)
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PubType: eBook
PubTypeId: ebook
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  Data: 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.
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        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Factor analysis--Computer programs
        Type: general
      – SubjectFull: R (Computer program language)
        Type: general
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      – TitleFull: A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
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            NameFull: Marley Watkins
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            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 05
              M: 02
              Type: profile
              Y: 2021
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            – TitleFull: A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
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