Robustness In Confirmatory Factor Analysis
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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.
The Robustness Of Confirmatory Factor Analysis To Model Misspecification And Violations Of Normality
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Author : Patrick J. Curran
language : en
Publisher:
Release Date : 1994
The Robustness Of Confirmatory Factor Analysis To Model Misspecification And Violations Of Normality written by Patrick J. Curran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Factor analysis categories.
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.
Poetas Argentinos Contempor Neos
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Author : Ruth Fernández
language : en
Publisher:
Release Date : 1991
Poetas Argentinos Contempor Neos written by Ruth Fernández and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Argentine poetry categories.
The Performance Of Model Fit Measures By Robust Weighted Least Squares Estimators In Confirmatory Factor Analysis
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Author : Yu Zhao
language : en
Publisher:
Release Date : 2015
The Performance Of Model Fit Measures By Robust Weighted Least Squares Estimators In Confirmatory Factor Analysis written by Yu Zhao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Despite the prevalence of ordinal observed variables in applied structural equation modeling (SEM) research, limited attention has been given to model evaluation methods suitable for ordinal variables, thus providing practitioners in the field with few guidelines to follow. This dissertation represents a first attempt to thoroughly examine the performance of five fit measures--[chi]^2 statistic, Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR)--produced by the mean- and variance-corrected Weighted Least Squares (WLSMV) estimator from Mplus 7 and the Diagonally Weighted Least Squares (DWLS) estimator from LISREL 9.1, both of which are forms of Robust Weighted Least Squares (RWLS) estimator designed to accommodate ordinal and nonnormal observed variables, in Confirmatory Factor Analysis (CFA) model evaluation, under various realistic sample, data, and model conditions, especially when different types and degrees of model misspecification occur. This study also empirically examined the applicability of the most widely used cut-off criteria of the fit indices proposed by Hu and Bentler (1999) in RWLS estimation with ordinal variables. Results showed that in evaluating the goodness-of-fit of CFA models with ordinal variables, fit measures generated by Mplus WLSMV seemed to be more effective and reliable than those produced by LISREL DWLS across studied conditions. The WLSMV fit measures generally maintained good Type I error control and were powerful enough to detect moderate model misspecification, provided that the model was not too large. The DWLS fit measures, on the other hand, were susceptible to influences of small sample size and could be largely inflated or deflated when a small sample was used to evaluate a large model. In addition, Hu and Bentler's (1999) cut-off criteria, despite of their popularity among applied SEM researchers, were not universally applicable in RWLS model evaluation, mainly because all of the fit indices examined varied systematically with the size of the proposed model. Recommendations are made by the end of the dissertation, based on the results of the current study, on practical issues pertaining to real-life CFA model evaluation with ordinal observed variables, such as minimum sample size required and how to use information provided by the RWLS fit measures to make model-data fit decisions, while taking into consideration the sample, data, and model characteristics specific to researchers' own studies.
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 For Applied Research Second Edition
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Author : Timothy A. Brown
language : en
Publisher: Guilford Publications
Release Date : 2015-01-08
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 2015-01-08 with Psychology 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 ...
On The Robustness Of Factor Analysis Against Crude Classification Of The Observations
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Author : Ulf Olsson
language : en
Publisher:
Release Date : 1978
On The Robustness Of Factor Analysis Against Crude Classification Of The Observations written by Ulf Olsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.
Robustness Of Maximum Likelihood Factor Analysis To Nonrandomness
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Author : Noma H. Shaw
language : en
Publisher:
Release Date : 1977
Robustness Of Maximum Likelihood Factor Analysis To Nonrandomness written by Noma H. Shaw and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Factor analysis categories.
Measurement Error And Research Design
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Author : Madhu Viswanathan
language : en
Publisher: SAGE
Release Date : 2005-02-10
Measurement Error And Research Design written by Madhu Viswanathan and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-10 with Psychology categories.
"Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most important, the book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research."--BOOK JACKET.