Methods for Transforming Observable to Latent Variables of Adolescent Eating Behavior Using Mathematical Tools and Social Behavior Criteria

Julio Fernando Siguencia, Mariela Cerrada, Diego Cabrera, René Vinicio Sánchez, Angélica Ochoa

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Social factors such as intelligence, attitude, self-esteem (latent variables) are variables that provide relevant information to facilitate the generation of behavioral patterns or models for experts in the social area. However, such information cannot be measured directly, since they are not quantifiable. There are underlying characteristics (observable variables) to the social factors which can be measured directly to the subject of study. For this reason, a methodology based on the transformation of variables using mathematical tools is proposed. The proposed objective is to transform observable variables into hidden variables by three methods; using the arithmetic mean, Euclidean distance and exponential function. Finally, a metric based on EMD distances is applied to evaluate the similarity of the concept resulting from the three transformation methods. The EMD metric allows to evaluate the cost paid for taking one form of distribution to another, in this case the arithmetic mean and exponential function methods generate the lowest cost, that is, there is greater similarity between the distributions of the observable variables and the distribution of the resulting construct.

Idioma originalInglés
Título de la publicación alojadaDoctoral Symposium on Information and Communication Technologies - DSICT
EditoresSantiago Berrezueta, Karina Abad
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas63-73
Número de páginas11
ISBN (versión impresa)9783030937171
DOI
EstadoPublicada - 2022
EventoDoctoral Symposium on Information and Communication Technologies, DSICT 2021 - Virtual, Online
Duración: 24 nov. 202126 nov. 2021

Serie de la publicación

NombreLecture Notes in Electrical Engineering
Volumen846 LNEE
ISSN (versión impresa)1876-1100
ISSN (versión digital)1876-1119

Conferencia

ConferenciaDoctoral Symposium on Information and Communication Technologies, DSICT 2021
CiudadVirtual, Online
Período24/11/2126/11/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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