An Intelligent Semi-Latin Square Construct for Measuring Human Capital Intelligence in Recruitment

Processing speed and memory recall ability are two major Human Capital Intelligence attributes required for recruitment. Matzel identified five domains of Intelligence. Unfortunately, there were no stated means for measuring them. This paper presents a framework for measuring Processing speed and Memory intelligence domains using Sternberg and Posner paradigms of short memory scanning test. A Semi-Latin square was constructed and used as a competitive platform for n= 20 student-applicant contestants. The Cumulative Grade Point Average rankings of 20 randomly selected final year student-applicants were used for the test. Results show that the CGPA performance ranking of the student-applicants differ from that of the HCI using the framework. A Wilcoxon Signed-Ranks Test was used to determine if the disparity in performance ranking was significant. Results show that there is indeed a significant difference in the performance ranking of the student-applicants using both approaches. The automated Construct was implemented using PHP and Mysql and deployed at (hcipredictor.eu3.org).

@article{Ukekwe2019,
  title     = {An Intelligent Semi-Latin Square Construct for Measuring Human Capital Intelligence in Recruitment},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {9},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Emmanuel C Ukekwe and Francis S. Bakpo and Mathew C.Okoronkwo and Gregory E.Anichebe},
  doi       = {10.14569/IJACSA.2019.0100960},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100960}
}