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Recent Developments in Modeling and Applications in Statistics pp 13–20Cite as

Cross-Lagged Structural Equation Models vs Latent Growth Curve Models:A Study of Material Deprivation in Portugal with ICOR

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Part of the book series: Studies in Theoretical and Applied Statistics ((STASSPSS))

Abstract

Structural equation models with lagged and cross-lagged effects and latent growth curve models are proposed in this chapter to demonstrate the use of two different, but complementary, approaches to modeling material deprivation over time. Portuguese data (ICOR) from the European Statistics on Income and Living Conditions (EU-SILC) are used. The four waves for which the data are available, 2004–2007, are considered.

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References

  1. Bollen, K.: Structural Equations with Latent Variables. Wiley, New York (1989)

    Google Scholar 

  2. Bollen, K.A., Curran, P.J.: Latent Curve Models – A Structural Equation Perspective. Wiley, New Jersey (2006)

    Google Scholar 

  3. Finkel, S.: Causal Analysis with Panel Data. Sage, Thousand Oaks (1995)

    Google Scholar 

  4. Guio, A.-C.: What can be learned from material deprivation indicators in Belgium and in its regions. Institut Wallon de L’ Evaluation de la Prospective et de la Statistique 901 (2009)

    Google Scholar 

  5. INE: Inquérito às Condições de Vida e Rendimento-ICOR. Documento Metodológico (2009)

    Google Scholar 

  6. McArdle, J.J.: Latent variable modeling of differences and changes with longitudinal data. Ann. Rev. Psychol. 60, 577–605 (2009)

    Google Scholar 

  7. Salgueiro, M.F., Smith, P.W.F., Vieira, M.D.T.: A multi-process second-order latent growth curve model for subjective well-being. Quality & Quantity (2011). doi: 10.1007/s11135-011-9541-y

    Google Scholar 

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Author information

Authors and Affiliations

  1. Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit, Lisbon, Portugal

    Paula C. R. Vicente & Maria de Fátima Salgueiro

Authors
  1. Paula C. R. Vicente
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  2. Maria de Fátima Salgueiro
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Corresponding author

Correspondence to Paula C. R. Vicente .

Editor information

Editors and Affiliations

  1. CMUC, Mathematics, University of Coimbra, EC Santa Cruz, Apartado 3008, Coimbra, 3001501, Portugal

    Paulo Eduardo Oliveira

  2. CMUC, Mathematics, University of Coimbra, EC Santa Cruz, Apartado 3008, Coimbra, 3001501, Portugal

    Maria da Graça Temido

  3. CMUC, Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Viseu, Campus Politécnico de Repeses, Viseu, 3504510, Portugal

    Carla Henriques

  4. , Dipartimento di Scienze Statistiche, Sapienza Università di Roma, Piazzale Aldo Moro 5, Rome, 00185, Italy

    Maurizio Vichi

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Vicente, P.C.R., de Fátima Salgueiro, M. (2013). Cross-Lagged Structural Equation Models vs Latent Growth Curve Models:A Study of Material Deprivation in Portugal with ICOR. In: Oliveira, P., da Graça Temido, M., Henriques, C., Vichi, M. (eds) Recent Developments in Modeling and Applications in Statistics. Studies in Theoretical and Applied Statistics(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32419-2_2

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