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Mapping Latent Variables of Sustainable Behavior

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Exploring Sustainable Behavior Structure in Higher Education

Part of the book series: Management and Industrial Engineering ((MINEN))

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Abstract

In the previous chapter, the author proposed a model to describe sustainable behavior (see Fig. 3.1) and explained how to built a questionnaire to test such proposed model among HEIs in different countries. In this chapter, firstly, an exploratory factor analysis (EFA) was used to prespecify the factors in terms of how well it reproduces the sample correlation (covariance) matrix of the measured variables to establish the underlying structure of SB construct. Secondly, a confirmatory factor analysis (CFA) was used to guide the specification and evaluation of the factor model based on a strong empirical, conceptual foundation to validate such SB construct.

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Notes

  1. 1.

    Variance (σ 2): The measure of variability produced by tacking the average of the sum of the squared deviation from the mean (Welkowitz et al. 2002).

References

  • Arbuckle, J. L. (2012). User’s Guide: IBM-SPSS Amos 20. Amos Development Corporation.

    Google Scholar 

  • Asparouhov, T., & Muthén, B. (2014). Multiple-group factor analysis alignment. Structural Equation Modeling: A Multidisciplinary Journal, 21, 1–14. doi:10.1080/10705511.2014.919210.

  • Barendse, M. T., Oort, F. J., & Timmerman, M. E. (2014). Using exploratory factor analysis to determine the dimensionality of discrete responses. Structural Equation Modeling: A Multidisciplinary Journal. doi:10.1080/10705511.2014.934850.

  • Bartholomew, D. J. (1987). Latent variable models and factor analysis. London: Charles Griffin & Company LTD/New York: Oxford University Press.

    Google Scholar 

  • Basilevsky, A. (1994). Statistical factor analysis and related methods. Theory and applications. In W. A. Shewhart & S. S. Wilks (Eds.), Probability and mathematical statistics. New York: Wiley.

    Google Scholar 

  • Bollen, K. A. (2002). Latent variables in psychology and the social sciences. Annual Review of Psychology, 53, 605–634.

    Article  Google Scholar 

  • Bollen, K. A. (2007). An overview of structural equation models with latent variables. In Proceedings of the Symposium on Computational Research at Miami University, Miami, USA, March 1–2, 2007.

    Google Scholar 

  • Bollen, K. A., & Lenox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110(2), 305–314.

    Article  Google Scholar 

  • Brace, N., Kemp, R., & Snelgar, R. (2006). SPSS for psychologist: A guide to data analysis using SPSS for Windows version 12 & 13. New York: Palgrave Macmillan.

    Google Scholar 

  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. NY: The Guilford Press.

    Google Scholar 

  • Corral-Verdugo, V. (2010). Psicología de la sustentabilidad: un análisis que nos hace pro ecológicos y pro sociales. México: Trillas.

    Google Scholar 

  • Dunn, E. C., Masyn, K. E., Jones, S. M., Subramanian, S. V., & Koenen, K. C. (2014). Measuring psychosocial environments using individual responses: An application of multilevel factor analysis to examining students in schools. Prevention Science. doi:10.1007/s11121-014-0523-x.

  • Gardner, H. (2001). Estructuras de la Mente. La teoría de las inteligencias múltiples. Segunda Edición. México: Fondo de Cultura Económica (1993).

    Google Scholar 

  • Gardner, R. C. (2003). Estadística para Psicología usando SPSS para Windows. México: Prentice Hall.

    Google Scholar 

  • Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987). Analysis and synthesis of research on responsible environmental behavior: A meta-analysis. Journal of Environmental Education, 18(2), 1–8.

    Article  Google Scholar 

  • Howard, A. L. (2013). Handbook of structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 20(2), 354–360.

    Article  Google Scholar 

  • Jolliffe, I. T. (1986). Principal component analysis. In D. Brillinger, S. Fienberg, J. Gani, J. Hartigan & K. Krickeberg (Advisors) Springer series in statistics. New York: Springer.

    Google Scholar 

  • Jöreskog, K. G. (1978). Structural analysis of covariance and correlation matrices. Psychometrika, 43(4), 443–477.

    Article  Google Scholar 

  • Juárez-Nájera, M. (2010). Sustainability in higher education. An explorative approach on sustainable behavior in two universities. Doctoral Thesis. Faculty of Social Sciences, Erasmus University Rotterdam, The Netherlands.

    Google Scholar 

  • Juárez-Nájera, M., Rivera-Martínez, J. G., & Hafkamp, W. A. (2010). An explorative socio-psychological model for determining sustainable behavior: Pilot study in German and Mexican Universities. Journal of Cleaner Production, 18, 686–694.

    Article  Google Scholar 

  • Ligtvoet, R., Van der Ark, L. A., Bergsma, W. P., & Sijtsma, K. (2011). Polytomous latent scales for the investigation of the ordering of items. Psychometrika, 76(2), 200–216.

    Article  Google Scholar 

  • McDonald, R. P. (2011). Measuring latent quantities. Psychometrika, 76(4), 511–536.

    Article  Google Scholar 

  • Muthén, L. K, & Muthén, B. O. (1998–2010). Mplus user’s guide (6th ed.). Los Angeles: Muthén & Muthén.

    Google Scholar 

  • Schmitt, T. A. (2011). Current methodological considerations in exploratory and confirmatory factor. Journal of Psychoeducational Assessment, 29, 304. doi:10.1177/0734282911406653.

    Article  Google Scholar 

  • Schwartz, S. H. (1994). Are there universal aspects in the structure and contents of human values? Journal of Social Issues, 50, 19–45.

    Google Scholar 

  • Stern, P. C., Dietz, T., Abel, T., Guagnano, G. A., & Kalof, L. (1999). A value-belief-norm theory of support for social movements: The case of environmentalism. Human Ecology Review, 6, 81–97.

    Google Scholar 

  • Welkowitz, J., Ewen, R. B., & Cohen, J. (2002). Introductory statistics for the behavioral sciences (5th ed.). NY: Wiley.

    Google Scholar 

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Correspondence to Margarita Juárez-Nájera .

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Juárez-Nájera, M. (2015). Mapping Latent Variables of Sustainable Behavior. In: Exploring Sustainable Behavior Structure in Higher Education. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-19393-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-19393-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19392-2

  • Online ISBN: 978-3-319-19393-9

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