In many psychometric studies, the observations may be often on longitu- dinal outcomes pertaining to General (G) and Specific (S) factors of human intelli- gence along with other covariates. Modelling human intelligence under Generalized Linear Mixed Model (GLMM) framework received the attention of psychologists in understanding the variables associated with the outcomes. In this paper, we formu- late (i) a suitable GLMM model for count data of human intelligence factors and (ii) further examine the association between the outcome variables of Spearman’s G and S factors of human intelligence using joint longitudinal modelling along with other covariates based on school lunch intervention data.

Modelling Human Intelligence Using Mixed Model Approach

Michele Gallo
2020-01-01

Abstract

In many psychometric studies, the observations may be often on longitu- dinal outcomes pertaining to General (G) and Specific (S) factors of human intelli- gence along with other covariates. Modelling human intelligence under Generalized Linear Mixed Model (GLMM) framework received the attention of psychologists in understanding the variables associated with the outcomes. In this paper, we formu- late (i) a suitable GLMM model for count data of human intelligence factors and (ii) further examine the association between the outcome variables of Spearman’s G and S factors of human intelligence using joint longitudinal modelling along with other covariates based on school lunch intervention data.
2020
978-3-030-51221-7
978-3-030-51222-4
File in questo prodotto:
File Dimensione Formato  
Gallo.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 155.87 kB
Formato Adobe PDF
155.87 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Gallo2.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 70.7 kB
Formato Adobe PDF
70.7 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/11574/195143
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact