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Confirmatory factor analysis in Stata

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  • Stas Kolenikov

    () (University of Missouri, Columbia)

Abstract

I will present a set of routines to conduct a one-factor confirmatory factor analysis in Stata. The use of Mata in programming will be highlighted. Corrections for non-normality, as common in the structural equation modeling literature, will be demonstrated. Indications for further development into multifactor models and, eventually, structural equation models, will be given.

Suggested Citation

  • Stas Kolenikov, 2006. "Confirmatory factor analysis in Stata," North American Stata Users' Group Meetings 2006 4, Stata Users Group.
  • Handle: RePEc:boc:asug06:4
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    File URL: http://repec.org/nasug2006/NASUG-Kolenikov-cfa1.pdf
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    References listed on IDEAS

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    1. Karl Jöreskog & Arthur Goldberger, 1972. "Factor analysis by generalized least squares," Psychometrika, Springer;The Psychometric Society, vol. 37(3), pages 243-260, September.
    2. William Gould, 2001. "Statistical software certification," Stata Journal, StataCorp LP, vol. 1(1), pages 29-50, November.
    3. Albert Satorra, 1990. "Robustness issues in structural equation modeling: a review of recent developments," Quality & Quantity: International Journal of Methodology, Springer, vol. 24(4), pages 367-386, November.
    4. David Grayson & Herbert Marsh, 1994. "Identification with deficient rank loading matrices in confirmatory factor analysis: Multitrait-multimethod models," Psychometrika, Springer;The Psychometric Society, vol. 59(1), pages 121-134, March.
    5. Nicholas J. Cox, 2008. "Speaking Stata: Correlation with confidence, or Fisher's z revisited," Stata Journal, StataCorp LP, vol. 8(3), pages 413-439, September.
    6. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
    7. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
    8. Kenneth A. Bollen & Robert A. Stine, 1992. "Bootstrapping Goodness-of-Fit Measures in Structural Equation Models," Sociological Methods & Research, , vol. 21(2), pages 205-229, November.
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    Cited by:

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    3. Chidlow, Agnieszka & Holmström-Lind, Christine & Holm, Ulf & Tallman, Steve, 2015. "Do I stay or do I go? Sub-national drivers for post-entry subsidiary development," International Business Review, Elsevier, vol. 24(2), pages 266-275.
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    5. Knoll, Martin & Zloczysti, Petra, 2012. "The Good Governance Indicators of the Millennium Challenge Account: How Many Dimensions are Really Being Measured?," World Development, Elsevier, vol. 40(5), pages 900-915.
    6. Schuelke-Leech, Beth-Anne, 2013. "Resources and research: An empirical study of the influence of departmental research resources on individual STEM researchers involvement with industry," Research Policy, Elsevier, vol. 42(9), pages 1667-1678.
    7. Mauro Mastrogiacomo & Rob Alessie, 2011. "Did you really save so little for your retirement? An analysis of retirement savings and unconventional retirement accounts," CPB Discussion Paper 200, CPB Netherlands Bureau for Economic Policy Analysis.
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    12. Pascal Le Masson & Sylvain Lenfle & Benoit Weil, 2013. "Testing whether major innovation capabilities are systemic design capabilities: analyzing rule-renewal design capabilities in a case-control study of historical new business developments," Post-Print hal-00881700, HAL.

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