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

Anna Simonetto () and Emma Zavarrone ()

Quality & Quantity: International Journal of Methodology, 2015, vol. 49, issue 3, 1013-1022

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. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Cognitive skills; Latent growth model; Gompertz curve; Exponential curve (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s11135-014-0064-1 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:49:y:2015:i:3:p:1013-1022

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-014-0064-1

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().