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.File | Dimensione | Formato | |
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