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Intelligence, Latin America, and Human Capital

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Intelligence Measurement and School Performance in Latin America

Abstract

Intelligence research has shown that human cognitive capital is associated with the development of nations. This chapter summarizes the results presented in previous chapters in order to analyze the quality of the human capital available in the Latin American region compared to the existing human capital in a developed country (in this case Spain). Additionally, challenges and future prospects are discussed.

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Notes

  1. 1.

    The new approach eliminates the weaknesses of estimating skewness based on arithmetic mean and standard deviation in non-normal distributions. This new method called “GRiS method” determines the Coefficient of Skewness (G) by checking the balance of load distributions of both sides of the dataset according to the median. If the data stack is symmetrical around the median, G should be equal to −1. If the data stack is skewed towards the left of the median, G will be smaller than −1, and if the data stack is skewed towards the right of the median, it will be bigger than −1. The GRiS mean is represented by ‘O’, and ‘σ’ are the deviations generated by the extreme values relative to the GRiS mean.

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Authors and Affiliations

  1. Department of Psychology, Federal University of Minas Gerais, Psychology Institute, Belo Horizonte, Minas Gerais, Brazil

    Carmen Flores-Mendoza

  2. Department of Psychology, National University of Colombia, Bogota, Colombia

    Rubén Ardila

  3. School of Psychology, Pontifical Catholic University of Chile, Santiago, Chile

    Ricardo Rosas

  4. Mental Health and Diagnosis Program Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Distrito Federal, Mexico

    María Emilia Lucio

  5. Faculty of Psychology, National University of Rosario, Rosario, Argentina

    Miguel Gallegos

  6. Faculty of Humanities, San Ignacio de Loyola University, Lima, Lima y Callao, Peru

    Norma Reátegui Colareta

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  1. Carmen Flores-Mendoza
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  2. Rubén Ardila
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  4. María Emilia Lucio
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  5. Miguel Gallegos
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  6. Norma Reátegui Colareta
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Flores-Mendoza, C., Ardila, R., Rosas, R., Lucio, M.E., Gallegos, M., Reátegui Colareta, N. (2018). Intelligence, Latin America, and Human Capital. In: Intelligence Measurement and School Performance in Latin America. Springer, Cham. https://doi.org/10.1007/978-3-319-89975-6_6

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