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Maximum likelihood from incomplete data via the EM algorithm

by A. P. Dempster, N. M. Laird, D. B. Rubin - JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B , 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
Abstract - Cited by 11972 (17 self) - Add to MetaCart
situations, applications to grouped, censored or truncated data, finite mixture models, variance component estimation, hyperparameter estimation, iteratively reweighted least squares and factor analysis.

Confirmatory Factor Analysis

by Dupuis Lozeron, Elise Dupuis Lozeron, Maria-pia Victoria-feser , 2008
"... Confirmatory factor analysis (CFA) is a data analysis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large quantities of data (variables). The underlying model links a set latent factors, that are supposed to correspond to latent ..."
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Confirmatory factor analysis (CFA) is a data analysis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large quantities of data (variables). The underlying model links a set latent factors, that are supposed to correspond to latent

Results: Confirmatory Factor Analysis

by unknown authors
"... A confirmatory factor analysis (CFA) was conducted to determine if the single-factor structure identified in previous research for items on the MASS provided adequate fit to the data. Results of structural equation modeling (SEM) using Mplus 7.3 (Muthén & Muthén, 2008-2012) indicted the single- ..."
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A confirmatory factor analysis (CFA) was conducted to determine if the single-factor structure identified in previous research for items on the MASS provided adequate fit to the data. Results of structural equation modeling (SEM) using Mplus 7.3 (Muthén & Muthén, 2008-2012) indicted the single-factor

Exploratory and confirmatory factor analysis: Understanding concepts and applications

by Bruce Thompson , 2004
"... provides a concise (162 pages of text) and basic overview of two disciplines of assessing structure: exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). As Thompson explains, the book was written ‘‘to strike a happy medium between accuracy and completeness versus over-whelming ..."
Abstract - Cited by 239 (0 self) - Add to MetaCart
provides a concise (162 pages of text) and basic overview of two disciplines of assessing structure: exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). As Thompson explains, the book was written ‘‘to strike a happy medium between accuracy and completeness versus over

Running Head: CONFIRMATORY FACTOR ANALYSIS Basic Concepts of Confirmatory Factor Analysis

by J. Kyle, J. Kyle Roberts
"... Many researchers acknowledge the prominent role that factor analysis can play in efforts to establish construct validity. Data can be analyzed with no preconceived ideas about the underlying constructs of structure of the data. This approach is exploratory factor analysis, Another approach is used w ..."
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when the researcher has an understanding of the constructs underlying the data. This approach, confirmatory factor analysis, is a theory-testing procedure. A primer on confirmatory factor analysis is presented. Elements discussed include matrices that can be analyzed correctly and various statistics

Confirmatory factor analysis

by Chia-huei Wu, Æ Grace Yao
"... Abstract This study examined the relationship between global and domain mea-sures of quality of life from a psychometric perspective by three different factor structure models. Three hundred and four students at National Taiwan University participated in this study. They completed the Satisfaction w ..."
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Abstract This study examined the relationship between global and domain mea-sures of quality of life from a psychometric perspective by three different factor structure models. Three hundred and four students at National Taiwan University participated in this study. They completed the Satisfaction

Confirmatory factor analysis

by Introductionmanuel I. Ibáñez, Micaela Moro , 2007
"... behaviours in the EPM loaded in a second factor; and approach behaviour to novel environment in TM loaded in a third factor. CFA analysis confirmed this structure. Nowadays it has been demonstrated that genetic factors contribute to individual differences in human personality (Plomin, 1990). Accordi ..."
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behaviours in the EPM loaded in a second factor; and approach behaviour to novel environment in TM loaded in a third factor. CFA analysis confirmed this structure. Nowadays it has been demonstrated that genetic factors contribute to individual differences in human personality (Plomin, 1990

Confirmatory Factor Analysis of the

by Andrew M. Lane, David F. Sewell, Peter C. Terry, David Bartram, Mark S. Nesti
"... Measures of anxiety ..."
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Measures of anxiety

Exploratory and Confirmatory Factor Analysis of the Child

by unknown authors
"... Objective To conduct an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) of the Child Uncertainty in Illness Scale (CUIS) with a sample of children and adolescents with a chronic health condition. Developmental differences in factor structure were also examined. Methods A s ..."
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Objective To conduct an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) of the Child Uncertainty in Illness Scale (CUIS) with a sample of children and adolescents with a chronic health condition. Developmental differences in factor structure were also examined. Methods A

IDENTIFIERS Confirmatory Factor Analysis; *Noncognitive

by Terence J. Sedlacek, William E, Terence J. Tracey, William E. Sedlac, Terence J. Tracey
"... In an effort to improve the reliability of the Noncognitive Questionnaire (NCQ), the instrument was revised and the revision's reliability and validity were examined examined with black and white college freshmen. The NCQ measures eight non-traditional or non cognitive variables that relate to ..."
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to rrinority student retention. The revised NCQ is composed of 67 items; 38 Likert type items were added to the NCQ to create the revised form. Initially, the fit of the revised NCQ to eight hypothesized constructs was examined using confirmatory factor analysis on a sample of 101 black students. It was found
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