The Likelihood Ratio Test in Structural Equation Models: A Multi-group Approach to Portuguese Material Deprivation

  • Paula C.R. Vicente
Keywords: EU-SILC Data, Multi-Group Analysis, Satorra-Bentler Scaled Correct Chi-Square Estimator, Structural Equation Models

Abstract

In this study a multi-group approach is used within the structural equations modelling framework, with the purpose of validating the temporal stability of the material deprivation measurement model, as well the impact of the existence of children in the household. For the purposes of model comparison, the use of the likelihood ratio test is discussed, when the normal distribution of the data cannot be assumed and the robust Satorra-Bentler scaled-corrected chi-square estimator is used. The statistical package LISREL 8.8 is used for estimating models.

References

[1] Bollen, K. (1989). Structural Equations with Latent Variables, Wiley, New York.
[2] Bryant, F. B. & Satorra, A. (2012). Principles and practice of scaled difference chi-square testing. Structural Equation Modelling, 19(3), 372-398.
[3] Bryant, F. B. & Satorra, A. (2013). EXCEL macro file for conducting scaled difference chi-square tests via LISREL 8, LISREL 9, EQS and Mplus. Retrieved from www.eco.upf.edu/~satorra.
[4] Guio, A. (2005) Material Deprivation in the EU. Statistics in Focus, Population and Social Conditions and Welfare, 21.
[5] Jöreskog, K.G. & Sörbom, D. (2004). LISREL8, Chicago IL: Scientific Software International, Inc.
[6] Schumacker, R.E. & Lomax, R.G. (2010). A beginner’s guide to structural equation modelling, 3rd ed., Routledge, Taylor & Francis Group, New York.
[7] Whelan, C.T. & Maître, B. (2007) Measuring material deprivation with EU-SILC: Lessons from the Irish survey. European Societies, 9, 147-173.
Published
2018-10-31
How to Cite
Paula C.R. Vicente. (2018). The Likelihood Ratio Test in Structural Equation Models: A Multi-group Approach to Portuguese Material Deprivation. International Journal of Engineering and Management Research, 8(5), 185-189. https://doi.org/10.31033/ijemr.8.5.22