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Robust Estimation Of Constrained Covariance Matrices For Confirmatory Factor Analysis


Robust Estimation Of Constrained Covariance Matrices For Confirmatory Factor Analysis
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Robust Estimation Of Constrained Covariance Matrices For Confirmatory Factor Analysis


Robust Estimation Of Constrained Covariance Matrices For Confirmatory Factor Analysis
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Author : Elise Dupuis Lozeron
language : en
Publisher:
Release Date : 2009

Robust Estimation Of Constrained Covariance Matrices For Confirmatory Factor Analysis written by Elise Dupuis Lozeron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.




Confirmatory Factor Analysis


Confirmatory Factor Analysis
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Author : Donna Harrington
language : en
Publisher: Oxford University Press
Release Date : 2009

Confirmatory Factor Analysis written by Donna Harrington 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 2009 with Medical categories.


Measures that are reliable, valid and can be used across diverse populations are vital to social work research, but the development of new measures is an expensive and time-consuming process. An array of existing measures can provide a cost-effective alternative, but in order to take this expedient step with confidence, researchers must ensure that the existing measure is appropriate for the new study. Confirmatory factory analysis (CFA) is one way to do so, and in this clearly written pocket guide Donna Harrington provides social work researchers with an essential roadmap to the highlights of CFA's powers and how to harness them.CFA has four primary functions-- psychometric evaluation of measures, construct validation, testing method effects, and testing measurement invariance-- all of which Harrington makes exceedingly accessible. She includes an easy-to-follow overview of the method, step-by-step guides to creating a CFA model and assessing its fit, and clear explanations of the requirements for using CFA, as well as underscoring the issues that are necessary to consider in alternative situations, such as when multiple groups are involved. Real-world examples, screenshots from the Amos software program that can be used to conduct CFA, and reading suggestions for each chapter make the material accessible for even the greenest novice.This pocket guide is ideally suited for readers who plan to conduct CFA analyses and need a brief, non-technical introduction to the topic to get them started before getting into the more detailed and technical literature, as well as readers who do not plan to conduct CFA analyses, but want to be knowledgeable consumers of research literature that uses CFA.



Confirmatory Factor Analysis


Confirmatory Factor Analysis
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Author : J. Micah Roos
language : en
Publisher: SAGE Publications
Release Date : 2021-10-19

Confirmatory Factor Analysis written by J. Micah Roos and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-19 with Social Science categories.


Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: Confirmatory Factor Analysis (CFA). As the authors explain, CFA is a theoretically informed statistical framework for linking multiple observed variables to latent variables that are not directly measurable. The authors begin by defining terms, introducing notation, and illustrating a wide variety of measurement models with different relationships between latent and observed variables. They proceed to a thorough treatment of model estimation, followed by a discussion of model fit. Most of the volume focuses on measures that approximate continuous variables, but the authors also devote a chapter to categorical indicators. Each chapter develops a different example (sometimes two) covering topics as diverse as racist attitudes, theological conservatism, leadership qualities, psychological distress, self-efficacy, beliefs about democracy, and Christian nationalism drawn mainly from national surveys. Data to replicate the examples are available on a companion website, along with code for R, Stata, and Mplus.



Confirmatory Factor Analysis


Confirmatory Factor Analysis
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Author : J. Scott Long
language : en
Publisher: SAGE Publications
Release Date : 1983-09-01

Confirmatory Factor Analysis written by J. Scott Long and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-09-01 with Social Science categories.


Demonstrates how to use confirmatory factor analysis--a model that allows researchers to specify the relationships among observed and latent variables on the basis of substantive considerations rather than mathematical convenience.



Robustness In Confirmatory Factor Analysis


Robustness In Confirmatory Factor Analysis
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Author : Youngkyoung Min
language : en
Publisher:
Release Date : 2008

Robustness In Confirmatory Factor Analysis written by Youngkyoung Min and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.


When the scale was set by specifying factor loadings equal to one, there were no important effects of the factors on the factor loading, factor variance, or factor covariance estimates. Results for standard error estimates indicate that Robust ML estimates were superior to the non-robust estimates in the bias of the standard error estimates for the non-normal distributions, and the standard error estimates were underestimated for the distribution with positive kurtosis and overestimated for the distribution with negative kurtosis. From the results, it can be concluded that ML estimation method should be adopted for a normal distribution regardless of sample size, model, and scale-setting method to obtain less biased estimates of parameters and standard errors, and Robust ML should be used for nonnormal distributions to improve estimation of standard errors. However, Robust ML estimation works very well even for a normal distribution and some cases better than GLS. It was also found that robust estimation generally worked better than non-robust estimation for the nonnormal distributions regardless of the sample size and the model type. When the distribution is non-normal, Robust GLS generally performs well, although Robust ML has less bias than Robust GLS.



Confirmatory Factor Analysis For Applied Research Second Edition


Confirmatory Factor Analysis For Applied Research Second Edition
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Author : Timothy A. Brown
language : en
Publisher: Guilford Publications
Release Date : 2015-01-07

Confirmatory Factor Analysis For Applied Research Second Edition written by Timothy A. Brown and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-07 with Science categories.


This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ...



Assessing Measurement Invariance For Applied Research


Assessing Measurement Invariance For Applied Research
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Author : Craig S. Wells
language : en
Publisher: Cambridge University Press
Release Date : 2021-06-03

Assessing Measurement Invariance For Applied Research written by Craig S. Wells and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Education categories.


This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.



Modelling Covariances And Latent Variables Using Eqs


Modelling Covariances And Latent Variables Using Eqs
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Author : G Dunn
language : en
Publisher: CRC Press
Release Date : 1993-08-01

Modelling Covariances And Latent Variables Using Eqs written by G Dunn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-01 with Mathematics categories.


First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.



Cofamm


Cofamm
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Author : Dag Sörbom
language : en
Publisher:
Release Date : 1976

Cofamm written by Dag Sörbom and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Analysis of covariance categories.




Robust Covariance Matrix Estimation Via Robust Estimation Of Principal Components


Robust Covariance Matrix Estimation Via Robust Estimation Of Principal Components
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Author : Jacqueline S. Galpin
language : en
Publisher:
Release Date : 1986

Robust Covariance Matrix Estimation Via Robust Estimation Of Principal Components written by Jacqueline S. Galpin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with categories.