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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.

Evaluating the use of exploratory factor analysis in psychological research

by Leandre R. Fabrigar, Duane T. Wegener, Robert C. MacCallum, Erin J. Strahan - PSYCHOLOGICAL METHODS , 1999
"... Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each of ..."
Abstract - Cited by 524 (4 self) - Add to MetaCart
Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each

Exploratory Factor Analysis

by Michael Stellefson, Bruce Hanik
"... When conducting an exploratory factor analysis, the decision regarding the number of factors to retain following factor extraction is one that the researcher should consider very carefully, as the decision can have a dramatic effect on results. Although there are numerous strategies that can and sho ..."
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When conducting an exploratory factor analysis, the decision regarding the number of factors to retain following factor extraction is one that the researcher should consider very carefully, as the decision can have a dramatic effect on results. Although there are numerous strategies that can

*Exploratory Factor Analysis

by Kevin M
"... Factor analysis has historically been used for myriad purposes in the social and behavioral sciences, but an especially important application of this technique has been to evaluate construct validity. Since in the present milieu both exploratory factor analysis (EFA) and confirmatory factor analysis ..."
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Factor analysis has historically been used for myriad purposes in the social and behavioral sciences, but an especially important application of this technique has been to evaluate construct validity. Since in the present milieu both exploratory factor analysis (EFA) and confirmatory factor

Bayesian Exploratory Factor Analysis

by Gabriella Conti, Sylvia Frühwirth-schnatter, James J. Heckman, Rémi Piatek, Gabriella Conti, Sylvia Frühwirth-schnatter, James J. Heckman, Rémi Piatek , 2014
"... (ii) development of ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
(ii) development of

Exploratory Factor Analysis

by unknown authors , 2003
"... FA is not worth the time necessary to understand it and carry it out.-Hills, 1977 Factor analysis should not be used in most practical situations.-Chatfield and Collins, 1980, pg. 89. At the present time, factor analysis still maintains the flavor of an art, ..."
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FA is not worth the time necessary to understand it and carry it out.-Hills, 1977 Factor analysis should not be used in most practical situations.-Chatfield and Collins, 1980, pg. 89. At the present time, factor analysis still maintains the flavor of an art,

1 Exploratory Factor Analysis

by Daire Hooper, Dr. Daire Hooper , 2012
"... Part of the Management Sciences and Quantitative Methods Commons This Book Chapter is brought to you for free and open access by the School of Management at ..."
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Part of the Management Sciences and Quantitative Methods Commons This Book Chapter is brought to you for free and open access by the School of Management at

RCMAR Workshop: Exploratory Factor Analysis

by unknown authors , 2001
"... There are many new developments in the area of exploratory factor analysis. The use of path models to explain exploratory factor analysis, speeds the learning curve in a subject that was previous dominated by matrix algebra (Loehlin, 1998). This approach not only improves understanding of the concep ..."
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There are many new developments in the area of exploratory factor analysis. The use of path models to explain exploratory factor analysis, speeds the learning curve in a subject that was previous dominated by matrix algebra (Loehlin, 1998). This approach not only improves understanding

Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis

by Anna B. Costello, Jason W. Osborne - Practical Assessment, Research & Evaluation , 2005
"... A peer-reviewed electronic journal. Copyright is retained by the first or sole author, who grants right of first publication to the Practical Assessment, Research & Evaluation. Permission is granted to distribute this article for nonprofit, educational purposes if it is copied in its entirety an ..."
Abstract - Cited by 431 (3 self) - Add to MetaCart
A peer-reviewed electronic journal. Copyright is retained by the first or sole author, who grants right of first publication to the Practical Assessment, Research & Evaluation. Permission is granted to distribute this article for nonprofit, educational purposes if it is copied in its entirety and the journal is credited.

Principal component analysis vs. exploratory factor analysis

by Diana D. Suhr, Ph. D - SUGI 30 Proceedings , 2009
"... Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA) are both variable reduction techniques and sometimes mistaken as the same statistical method. However, there are distinct differences between PCA and EFA. Similarities and differences between PCA and EFA will be examined. Examp ..."
Abstract - Cited by 17 (0 self) - Add to MetaCart
Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA) are both variable reduction techniques and sometimes mistaken as the same statistical method. However, there are distinct differences between PCA and EFA. Similarities and differences between PCA and EFA will be examined
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