A General Multivariate Latent Growth Model With Applications to Student Achievement

Silvia Bianconcini () and Silvia Cagnone

Journal of Educational and Behavioral Statistics, 2012, vol. 37, issue 2, 339-364

Abstract: The evaluation of the formative process in the University system has been assuming an ever increasing importance in the European countries. Within this context, the analysis of student performance and capabilities plays a fundamental role. In this work, the authors propose a multivariate latent growth model for studying the performances of a cohort of students of the University of Bologna. The model proposed is innovative since it is composed by (a) multivariate growth models that allow the capture of different dynamics of student performance indicators over time and (b) a factor model that allows measurement of the general latent student capability. The flexibility of the model proposed allows its applications in several fields such as socioeconomic settings in which personal behaviors are studied using panel data.

Keywords: generalized linear latent variable models; longitudinal and mixed data; EM algorithm (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:37:y:2012:i:2:p:339-364

DOI: 10.3102/1076998610396886

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