This paper focuses on the measurement of human capital, specifically on the growth of cognitive skills (CS) during the higher education at university. CS have already been evaluated in a macroeconomic perspective inside the neoclassical growth models, but not still in a micro perspective. However the measure of educational quality and learning process is still an issue not fully addressed. The micro approach allows the researcher to focus on the evaluation of CS acquisition process. Based on these measurements, different types of CS accumulation can be identified. We will investigate CS through nonlinear latent growth modeling, and we will apply this methodology to administrative data of an Italian university.

A micro approach to cognitive skills’ growth in a university context

SIMONETTO, Anna;
2014-01-01

Abstract

This paper focuses on the measurement of human capital, specifically on the growth of cognitive skills (CS) during the higher education at university. CS have already been evaluated in a macroeconomic perspective inside the neoclassical growth models, but not still in a micro perspective. However the measure of educational quality and learning process is still an issue not fully addressed. The micro approach allows the researcher to focus on the evaluation of CS acquisition process. Based on these measurements, different types of CS accumulation can be identified. We will investigate CS through nonlinear latent growth modeling, and we will apply this methodology to administrative data of an Italian university.
2014
2014
Ateneo di appartenenza
PE1_14 Statistics
PE6_12 Scientific computing, simulation and modelling tools
SH4_12 Education: systems and institutions, teaching and learning
Esperti anonimi
Inglese
Internazionale
ELETTRONICO
49
3
1013
1022
10
Cognitive skills; Latent growth model; Gompertz curve; Exponential curve
Nessuno
http://dx.doi.org/10.1007/s11135-014-0064-1
no
2
info:eu-repo/semantics/article
262
Simonetto, Anna; Zavarrone, Emma
1 Contributo su Rivista::1.1 Articolo in rivista
restricted
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/459250
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