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Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis

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  • Adam Carle

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  • Adam Carle, 2010. "Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(3), pages 483-497, April.
    • Handle: RePEc:spr:qualqt:v:44:y:2010:i:3:p:483-497
    DOI: 10.1007/s11135-009-9220-4
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    References listed on IDEAS

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    1. William Meredith, 1964. "Notes on factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 177-185, June.
    2. Adcock, Robert & Collier, David, 2001. "Measurement Validity: A Shared Standard for Qualitative and Quantitative Research," American Political Science Review, Cambridge University Press, vol. 95(3), pages 529-546, September.
    3. Paul P. Biemer & Christopher Wiesen, 2002. "Measurement error evaluation of self‐reported drug use: a latent class analysis of the US National Household Survey on Drug Abuse," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 97-119, February.
    4. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    5. William Meredith, 1964. "Rotation to achieve factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 187-206, June.
    6. K. Jöreskog, 1971. "Simultaneous factor analysis in several populations," Psychometrika, Springer;The Psychometric Society, vol. 36(4), pages 409-426, December.
    7. Anders Christoffersson, 1975. "Factor analysis of dichotomized variables," Psychometrika, Springer;The Psychometric Society, vol. 40(1), pages 5-32, March.
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