A feasible method for standard errors of estimate in maximum likelihood factor analysis
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DOI: 10.1007/BF02294078
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Cited by:
- Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
- P. Bentler, 1986. "Structural modeling and psychometrika: An historical perspective on growth and achievements," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 35-51, March.
- K. Renuka Ganegodage & Alicia N. Rambaldi & D. S. Prasada Rao & Kam K. Tang, 2017. "A New Multidimensional Measure of Development: The Role of Technology and Institutions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 65-92, March.
- Robert Jennrich, 2008. "Nonparametric Estimation of Standard Errors in Covariance Analysis Using the Infinitesimal Jackknife," Psychometrika, Springer;The Psychometric Society, vol. 73(4), pages 579-594, December.
- Guangjian Zhang & Kristopher Preacher & Robert Jennrich, 2012. "The Infinitesimal Jackknife with Exploratory Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 634-648, October.
- Haruhiko Ogasawara, 2002. "Concise formulas for the standard errors of component loading estimates," Psychometrika, Springer;The Psychometric Society, vol. 67(2), pages 289-297, June.
- Hayashi, Kentaro & Kumar Sen, Pranab, 1998. "On Covariance Estimators of Factor Loadings in Factor Analysis," Journal of Multivariate Analysis, Elsevier, vol. 66(1), pages 38-45, July.
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Keywords
maximum likelihood factor analysis; standard errors; jackknife; pseudo values; computer algorithms; differentials; alignment problem; Heywood case;All these keywords.
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