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Evaluating Uncertainty of Model Acceptability in Empirical Applications: A Replacement Approach

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Recent Developments on Structural Equation Models

Part of the book series: Mathematical Modelling: Theory and Applications ((MMTA,volume 19))

Abstract

A major problem in psychological measurements is that in some circum-tances there is no basis to assume that subjects are responding honestly. Some individuals actually tend to distort their responses in order to reach specific goals. For example, in personnel selection some subjects are likely to fake a personality questionnaire to match the ideal candidate’s profile (positive impression management). Similarly, in the administration of diagnostic tests individuals often attempt to malinger posttraumatic stress disorder (PTSD) in order to secure financial gain and/or treatment, or to avoid being charged with a crime.

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© 2004 Springer Science+Business Media Dordrecht

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Lombardi, L., Pastore, M., Nucci, M. (2004). Evaluating Uncertainty of Model Acceptability in Empirical Applications: A Replacement Approach. In: van Montfort, K., Oud, J., Satorra, A. (eds) Recent Developments on Structural Equation Models. Mathematical Modelling: Theory and Applications, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-1958-6_4

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  • DOI: https://doi.org/10.1007/978-1-4020-1958-6_4

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6549-0

  • Online ISBN: 978-1-4020-1958-6

  • eBook Packages: Springer Book Archive

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