Abstract
One of the main tasks of an educational system is to enrich the Cultural Capital of its students. The Cultural Capital linked to social origins is considered crucial in determining students’social life and subsequent professional achievement. This work moves from an ad hoc survey carried out on a sample of students who enrolled or applied for an entrance test at the university. The Cultural Capital is treated as a latent variable which students are supposed to possess at a greater or lesser degree. Latent Class Analysis is adopted in order to provide a non arbitrary scaling of Cultural Capital and to sort out mutually exclusive classes of students. Moreover, Item Response Models are implemented to assess the calibration of the questionnaire as an instrument to measure the Cultural Capital of the surveyed population.
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References
Agresti, A.: Categorical Data Analysis. Wiley-Interscience, Hoboken, NJ (2002)
Baker, F.B., Kim. S.H.: Item Response Theory: Parameter Estimation Techniques. Dekker, New York, NY (2004)
Barholomew, D.J., Steele, F., Galbraith, J.I., Moustaki, I.: The Analysis and Interpretation of Multivariate Analysis for Social Scientists. Chapman & All, Boca Raton, FL (2002)
Bourdieu, P.: The forms of capital. In: Richardson, J.G. (ed.) Handbook of Theory and Research for the Sociology of Education. Greenwood Press, New York, NY (1986)
Bourdieu, P.: Raisons pratiques. Sur la theorie de l’action. Edition du Seuil, Paris (1994)
De Boeck, P., Wilson, M. (eds.): Item Response Models: A Generalized Linear and Non Linear Approach. Statistics for Social and Behavioral Sciences. Springer, New York, NY (2004)
Fisher, G.H., Molenaar, I.W.: Rasch Models, Foundations, Recent Developments, and Applications. Springer, New York, NY (1995)
Linzer, D.A., Lewis, J.: poLCA: Polytomous Variable Latent Class Analysis. R package version 1.2. http://userwww.service.emory.edu/dlinzer/poLCA/ (2008)
Rijmen, F., Briggs, D.: Explanatory Item Response Models: A Generalized Linear and Non Linear Approach, Chapter Multiple Person Dimensions and Latent Item Predictors, pp. 111–166. Springer, New York, NY (2004)
Skrondal, A., Rabe-Hesketh, S.: Generalized Latent Variables Modeling. Chapman & Hall, Boca Raton, FL (2004)
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© 2011 Springer-Verlag Berlin Heidelberg
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Sulis, I., Porcu, M., Pitzalis, M. (2011). Scaling the Latent Variable Cultural Capital via Item Response Models and Latent Class Analysis. In: Fichet, B., Piccolo, D., Verde, R., Vichi, M. (eds) Classification and Multivariate Analysis for Complex Data Structures. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13312-1_28
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DOI: https://doi.org/10.1007/978-3-642-13312-1_28
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