Abstract
The communication is related to a wide empirical research promoted by the Università Cattolica del Sacro Cuore of Milan (UCSC) aimed at acquiring an insight into the real work possibilities of its graduates in the last seven years, as well as the appreciation and satisfaction of the firms which offered them a job position. The group of 1,264 firms which have a special connection with UCSC, regarding new job appointments, was considered and they were given a questionnaire, using web for sending and answering. The analysis of the 203 complete answers was conducted by having recourse to a structural equation model with latent variables.
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References
Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.) Testing structural equation models (pp. 136–162). Newbury Park: Sage.
Chiandotto, B. (2004). Sulla misura della qualità della formazione universitaria. Studi e note di economia, 3, 27–61.
Farrell, A. M. (2010). Insufficient discriminant validity: A comment on Bove, Pervan, Beatty and Shiu (2009). Journal of Business Research, 63, 324–327.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Green, S. B., & Yang, Y. (2009). Reliability of summed item scores using structural equation modeling: an alternative to coefficient alpha. Psychometrika, 74(1), 155–167.
Jöreskog, K. G. (2005). Structural equation modeling with ordinal variables using LISREL. http://www.ssicentral.com/lisrel/techdocs/ordinal.pdf. Cited 14 May 2012.
Jöreskog, K. G. (1994). On the estimation of polychoric correlations and their asymptotic covariance matrix. Psychometrika, 59, 381–389.
Muthén, B. O. (1984). A general structural equation model with dichotomous, ordered, categorical, and continuous latent variable indicators. Psychometrika, 49, 115–132.
Raykov, T. (2002). Scale reliability evaluation with LISREL 8.50. http://www.ssicentral.com/lisrel/techdocs/reliabil.pdf. Cited 14 May 2012.
Raykov, T. (2002). Analytic estimation of standard error and confidence interval for scale reliability. Multivariate Behavioral Research, 37(1), 89–103.
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36.
Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74(1), 107–120.
Winship, C., & Mare, R. D. (1984). Regression models with ordinal variables. American Sociological Review, 49, 512–525.
Zanella, A., Boari, G., Baldi, P. L., Cantaluppi, G., & Facchinetti, D. (2011). Soddisfazione delle aziende nei confronti dei collaboratori laureati all’Università Cattolica del Sacro Cuore di Milano. In B. V. Frosini (Ed.) La valutazione della ricerca e la valutazione della didattica (pp. 147–175). Milano: Vita e Pensiero.
Zanella, A., & Cantaluppi, G. (2006). Some remarks on a test for assessing whether Cronbach’s coefficient α exceeds a given theoretical value. Statistica Applicata, 18, 251–275.
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Zanella, A., Boari, G., Bonanomi, A., Cantaluppi, G. (2013). A Simplified Latent Variable Structural Equation Model with Observable Variables Assessed on Ordinal Scales. In: Giudici, P., Ingrassia, S., Vichi, M. (eds) Statistical Models for Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00032-9_43
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