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DOI: 10.14569/IJACSA.2018.090411
PDF

Terman-Merril Application for Intelligence Measurement

Author 1: Alicia Valdez
Author 2: Griselda Cortes
Author 3: Laura Vazquez
Author 4: Andrea de la Pena
Author 5: Blanca Montano

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.

  • Abstract and Keywords
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Abstract: The computational applications support different processes in organizations, one of these processes are those related to human resources, where one of the activities is the hiring of new personnel; the evaluation of human talent to be integrated into a company can be measured through different tests, one of which is the Terman-Merril intelligence test, which measures the intellectual quotient of candidates with a series of sub-tests. In this project, the waterfall method has been used for the development of a web computational application for the Terman-Merril intelligence test, as well as the management of the users and the results obtained to be visualized in spreadsheets for its subsequent analysis and graphing. The ASP.Net programming language and the SQL Server 2014 database have been used for the programming and the storage of information. As a result, it has been applied successfully in some companies, obtaining measurable and evaluable results on the candidates. The application has also been installed in a computer lab for students enrolled in the Bachelor of Human Resources at Faculty of Accounting and Administration at Coahuila, Mexico.

Keywords: Human resources; Terman-Merril test; intelligence test; ASP.Net

Alicia Valdez, Griselda Cortes, Laura Vazquez, Andrea de la Pena and Blanca Montano, “Terman-Merril Application for Intelligence Measurement” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090411

@article{Valdez2018,
title = {Terman-Merril Application for Intelligence Measurement},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090411},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090411},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Alicia Valdez and Griselda Cortes and Laura Vazquez and Andrea de la Pena and Blanca Montano}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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