Nowadays, the educational context is one of the most important and interesting applicative field of social science. The object of interest is often the relation between student ability and motivation. In the context of social science the multilevel structure and the latent variable models are often encountered. In this work, we present an extension of the multilevel mixture factor models (MMFM) (Riggi & Vermunt, in press, 2011 ; Varriale & Vermunt, in press, 2009), with an application to the Italian school system. These models are a combination of Factor Analysis and Latent Class. The purpose of the MMFA is multiple: the teacher classification according to class motivation structure, and the analysis of home and teacher influences on pupil reading motivation.

(2011). Mixture factor model for hierarchical data structure and applications to the italian educational school system. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2011).

Mixture factor model for hierarchical data structure and applications to the italian educational school system

RIGGI, DANIELE
2011

Abstract

Nowadays, the educational context is one of the most important and interesting applicative field of social science. The object of interest is often the relation between student ability and motivation. In the context of social science the multilevel structure and the latent variable models are often encountered. In this work, we present an extension of the multilevel mixture factor models (MMFM) (Riggi & Vermunt, in press, 2011 ; Varriale & Vermunt, in press, 2009), with an application to the Italian school system. These models are a combination of Factor Analysis and Latent Class. The purpose of the MMFA is multiple: the teacher classification according to class motivation structure, and the analysis of home and teacher influences on pupil reading motivation.
INGRASSIA, SALVATORE
VERMUNT, JEROEN
Mixture, Multilevel, Motivation, Latent variables, Students
SECS-S/01 - STATISTICA
English
25-gen-2011
Scuola di Dottorato in Statistica e Matematica Applicata alla Finanza
STATISTICA - 11R
23
2009/2010
open
(2011). Mixture factor model for hierarchical data structure and applications to the italian educational school system. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2011).
File in questo prodotto:
File Dimensione Formato  
Phd_unimib_048141.pdf

accesso aperto

Tipologia di allegato: Doctoral thesis
Dimensione 1.23 MB
Formato Adobe PDF
1.23 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/19465
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact