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Latent Variable Modeling Using R
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Latent Variable Modeling Using R
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Latent Variable Modeling Using R
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Latent Variable Modeling Using R : A Step-by-Step Guide
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Latent Variable Modeling Using R : A Step-by-Step Guide
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Latent Variable Modeling Using R (Paperback)
Published by Taylor & Francis Ltd, London, 2014
ISBN 10: 1848726996 ISBN 13: 9781848726994
Language: English
Paperback. Condition: new. Paperback. This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R.Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate R functions, packages, and datasets. The book and accompanying website at provides all of the data for the books examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values.The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapters exercises.Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New.
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Latent Variable Modeling Using R
Published by Taylor & Francis Group, 2014
ISBN 10: 1848726996 ISBN 13: 9781848726994
Language: English
Condition: New. pp. 218.
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Latent Variable Modeling Using R
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Latent Variable Modeling Using R
Published by Routledge 2014-07-02, 2014
ISBN 10: 1848726996 ISBN 13: 9781848726994
Language: English
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Latent Variable Modeling Using R : A Step-by-Step Guide
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Latent Variable Modeling Using R: A Step-by-Step Guide
Published by Taylor & Francis Ltd, 2014
ISBN 10: 1848726996 ISBN 13: 9781848726994
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
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Latent Variable Modeling Using R: A Step-by-Step Guide
Published by Taylor & Francis Ltd, 2014
ISBN 10: 1848726996 ISBN 13: 9781848726994
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Latent Variable Modeling Using R: A Step-by-Step Guide
Published by Taylor & Francis Ltd, 2014
ISBN 10: 1848726996 ISBN 13: 9781848726994
Language: English
Condition: New. . 2014. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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US$ 118.71
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Add to basketPaperback. Condition: Brand New. 1st edition. 218 pages. 10.75x8.25x0.50 inches. In Stock.
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Condition: New. A. Alexander Beaujean is an Associate Professor in Educational Psychology at Baylor University.This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusi.
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Add to basketPaperback. Condition: Like New. Like New. book.
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Latent Variable Modeling Using R (Paperback)
Published by Taylor & Francis Ltd, London, 2014
ISBN 10: 1848726996 ISBN 13: 9781848726994
Language: English
Paperback. Condition: new. Paperback. This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R.Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate R functions, packages, and datasets. The book and accompanying website at provides all of the data for the books examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values.The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapters exercises.Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
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Latent Variable Modeling Using R: A Step-by-Step Guide
Published by Routledge 2014-05-16, 2014
ISBN 10: 1848726988 ISBN 13: 9781848726987
Language: English
US$ 207.50
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Latent Variable Modeling Using R : A Step-by-Step Guide
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 210.90
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
