Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters

SUMMARY: The main purpose of this study was to explore the latent relations of the selected morphometric, physiological and biochemical parameters. Thirty-six variables (12 morphometric, 9 physiological and 15 biochemical variables) were measured on 317 male-entities aged 17 - 35 y/o. The obtained d...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Rexhepi,Agron M, Brestovci,Behlul
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2019
Materias:	Multi-dimensional Factor analysis Total variance Biometric measures Human homeostasis Manifest variables Latent factors Latent components
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022019000300830
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0717-95022019000300830
record_format	dspace
spelling	oai:scielo:S0717-950220190003008302019-09-11Latent Relations Between Selected Morphometric, Physiological and Biochemical ParametersRexhepi,Agron MBrestovci,Behlul Multi-dimensional Factor analysis Total variance Biometric measures Human homeostasis Manifest variables Latent factors Latent components SUMMARY: The main purpose of this study was to explore the latent relations of the selected morphometric, physiological and biochemical parameters. Thirty-six variables (12 morphometric, 9 physiological and 15 biochemical variables) were measured on 317 male-entities aged 17 - 35 y/o. The obtained data were analysed through the factor analysis of the first and second order. The statistical analyses were performed with the IBM SPSS Statistics software package, version 20. The factorization of the first order enabled extraction of 12 latent factors that explain 74.8 % of the total variance, while the factorization of the second order enabled extraction of five latent components that explain 51.39 % of the total variance. The final results of this study confirm the main hypothesis that there exist the numbers of latent variables that explain the latent structure of selected biometric measures. The nature of the extracted latent factors/ components in both orders of factorization is relatively clear, understandable, and easy to interpret. The higher projections of the manifest biometric variables on the extracted latent factors of the first and second order were accordingly with the nature of the measured variables. The results of this research might be considered as one step more in the holistic approach to the biometric measures.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.37 n.3 20192019-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022019000300830en10.4067/S0717-95022019000300830
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Multi-dimensional Factor analysis Total variance Biometric measures Human homeostasis Manifest variables Latent factors Latent components
spellingShingle	Multi-dimensional Factor analysis Total variance Biometric measures Human homeostasis Manifest variables Latent factors Latent components Rexhepi,Agron M Brestovci,Behlul Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters
description	SUMMARY: The main purpose of this study was to explore the latent relations of the selected morphometric, physiological and biochemical parameters. Thirty-six variables (12 morphometric, 9 physiological and 15 biochemical variables) were measured on 317 male-entities aged 17 - 35 y/o. The obtained data were analysed through the factor analysis of the first and second order. The statistical analyses were performed with the IBM SPSS Statistics software package, version 20. The factorization of the first order enabled extraction of 12 latent factors that explain 74.8 % of the total variance, while the factorization of the second order enabled extraction of five latent components that explain 51.39 % of the total variance. The final results of this study confirm the main hypothesis that there exist the numbers of latent variables that explain the latent structure of selected biometric measures. The nature of the extracted latent factors/ components in both orders of factorization is relatively clear, understandable, and easy to interpret. The higher projections of the manifest biometric variables on the extracted latent factors of the first and second order were accordingly with the nature of the measured variables. The results of this research might be considered as one step more in the holistic approach to the biometric measures.
author	Rexhepi,Agron M Brestovci,Behlul
author_facet	Rexhepi,Agron M Brestovci,Behlul
author_sort	Rexhepi,Agron M
title	Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters
title_short	Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters
title_full	Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters
title_fullStr	Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters
title_full_unstemmed	Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters
title_sort	latent relations between selected morphometric, physiological and biochemical parameters
publisher	Sociedad Chilena de Anatomía
publishDate	2019
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022019000300830
work_keys_str_mv	AT rexhepiagronm latentrelationsbetweenselectedmorphometricphysiologicalandbiochemicalparameters AT brestovcibehlul latentrelationsbetweenselectedmorphometricphysiologicalandbiochemicalparameters
_version_	1718445106065833984

Latent Relations Between Selected Morphometric, Physiological and Biochemical Parameters

Ejemplares similares