Intelligence, Latin America, and Human Capital

Flores-Mendoza, Carmen; Ardila, Rubén; Rosas, Ricardo; Lucio, María Emilia; Gallegos, Miguel; Colareta, Norma Reátegui

doi:10.1007/978-3-319-89975-6_6

Cited by 3 publications

(4 citation statements)

References 65 publications

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“…This presents companies with the challenge to create strategies to retain their talent because the costs of hiring and terminating employees increases when workers quit their jobs. The retention of human talent in organizations is a factor that affects productivity (Flores-Mendoza, Ardila, Rosas, Lucio & Colareta, 2018). It is for this reason that personnel departments must develop strategies to prevent organizational desertion and improve the culture and the working environment among the various generations at the work place.…”

Section: Discussionmentioning

confidence: 99%

Engagement of Mexican Millennials at Work in Relation to their Expectations

Carranza¹,

Soria²,

Lemus³

et al. 2019

IBR

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The project seeks to find the correlation between retention and labor expectations of the Millennial workforce in Mexico. The study was done with a sample of 422 workers between the ages of 18 and 37, at several types of companies in Mexico, that are experiencing a high rate of staff turnover. The retention and stay-at-work questionnaires were first validated through an exploratory factorial analysis. Subsequently, models were created using the multiple linear regression technique. The results show that work expectations, such as personal and organizational factors are important for staff retention. In addition, our findings are compared with others obtained and a list of recommendations for the development of organizational strategies is proposed as a means of employee retention.

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Section: Discussionmentioning

confidence: 99%

Engagement of Mexican Millennials at Work in Relation to their Expectations

Carranza¹,

Soria²,

Lemus³

et al. 2019

IBR

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“…First, we included a measure of parental education level categorised according to the number of parents holding a university degree as a) noneb) one, c) both 30 . Second, as school characteristics seem to be a stronger predictor of adolescents’ cognitive and school performance in Latin America than socioeconomic status 32 , we included two school-based indicators. The first was school type (public, subsidised, or private) because of its strong relationship with cognition, health behaviours, and academic performance, and its accuracy as an indicator of socioeconomic and parental education levels in the Chilean context 33 .…”

Section: Methodsmentioning

confidence: 99%

Multimodal neuroimaging correlates of physical-cognitive covariation in Chilean adolescents. The Cogni-Action Project

Cristi-Montero

Johansen‐Berg

Salvan

2022

Preprint

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Health-related behaviours have been related to brain structural features; however, most literature in this domain comes from developed countries. In developing settings, such as Latin America, high social inequality is associated inversely with several health-related behaviours affecting brain development. Understanding the relationship between health behaviours and brain structure in such settings is particularly important during adolescence when key habits are acquired and ingrained. In this cross-sectional study, we carry out a multimodal analysis identifying a brain region associated with health-related behaviours (i.e., fatness, fitness, sleep problems and others) and cognitive/academic performance independent of socioeconomic status in a large sample of Chilean adolescents. Our findings suggest that the relationship between health behaviours and cognitive/academic performance involves a particular brain phenotype that could play a mediator role. These findings raise the possibility of promoting healthy behaviours in adolescence as a means to influence brain structure and thereby cognitive/academic achievement, independently of socioeconomic factors.

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“…Estas medidas presentan mayor saturación del factor g (Gignac, 2015;Myszkowski & Storme, 2018), por lo cual se desarrollaron versiones breves que faciliten su aplicación en menos tiempo y reporten con mayor rigor los elementos más representativos de la unidimensionalidad del factor general (Myszkowski & Storme, 2018), a partir de diferentes modelos estadísticos instrumentales robustos (Flores-Mendoza et al, 2018;García-Garzón, Abad & Garrido, 2019;Myszkowski, 2020;Partchev, 2020) brindando mayor evidencia a la medición del factor g.…”

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“…Asimismo, otras investigaciones refieren una mejor puntuación del nivel de inteligencia en adultos de mayor edad que en los más jóvenes (Pérez, 2018;Rossi-Casé, Doná, Biganzoli & Llanos-Borja, 2018). Además, diversos estudios latinoamericanos de las medidas Raven a pesar de reportar diferencias generales en las puntuaciones según género (Flores-Mendoza et al, 2018), no presentan otros análisis, que permitan determinar si es debido a un sesgo diferencial en varones o mujeres u otro grupo sociodemográfico en particular. Por lo cual es importante fortalecer la medición mediante análisis diferencial de los ítems (DIF, por sus siglas en inglés) del test Matrices, y verificar si las posibles diferencias puntuadas se deben a alguna característica especifica de la muestra como el género (Mackintosh & Bennett, 2005;Waschl & Burns, 2020) o pertenecer a un grupo etario de la edad adulta (Hertzog, 2019).…”

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Estructura y análisis diferencial del ítem de acorde a sexo y edad del Test de Inteligencia General Matrices en estudiantes universitarios

Ramos-Vera

Torres

2021

Rev. Investig. Psicol.

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La presente investigación tuvo por objetivo analizar las propiedades psicométricas del Test de Inteligencia General Matrices en estudiantes de cuatro universidades de la ciudad de Lima. Para ello, se trabajó en una muestra peruana no probabilística de 517 (347 varones y 170 mujeres) de 18 y 31 años. Se utilizó el método de ecuaciones estructurales (SEM) para la medición del instrumento, lo cual permitió confirmar la estructura de unidimensionalidad, de igual manera se realizó la invarianza del análisis diferencial de los items mediante modelo SEM y regresión logística binaria que señalan la equivalencia de medida. Asimismo, se propone trabajar una estructura reducida del instrumento, en lo que respecta a la medida del factor g, como propuesta de evaluación de la inteligencia, esto con el fin de adaptarse a la muestra en estudiantes jóvenes y adultos evaluados.

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Intelligence, Latin America, and Human Capital

Cited by 3 publications

References 65 publications

Engagement of Mexican Millennials at Work in Relation to their Expectations

Engagement of Mexican Millennials at Work in Relation to their Expectations

Multimodal neuroimaging correlates of physical-cognitive covariation in Chilean adolescents. The Cogni-Action Project

Estructura y análisis diferencial del ítem de acorde a sexo y edad del Test de Inteligencia General Matrices en estudiantes universitarios

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