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Computational Methodologies in Psychometry and Mental Health

T.V. Gopal

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RFP Indian Journal of Medical Psychiatry 7(1):p 19-25, January – June 2024. | DOI: NA

How Cite This Article:

T.V. Gopal. Computational Methodologies in Psychometry and Mental Health. RFP Ind Jr of Med Psy. 2024;7(1):19–25.

Timeline

Received : April 03, 2024         Accepted : May 29, 2024          Published : June 30, 2024

Abstract

Psychometry’ the science of measuring human intelligence has evolved slowly over the last  century. Today we have several theories for measuring this socially vital attribute of human  beings at various stages of development. Many of these theories are often contradictory and  the results are not conclusive. The measurement is done by administering mental ability tests  However, the search for a theory that yields good correlation is still ongoing.  Digital mental health by using a suite of digital technologies ranging from digital  interventions to the application of artificial intelligence is a logical next step in this progress.  Telepsychiatry and virtual reality in psychiatric treatment and rehabilitation are showing  considerable progress.  This paper reports the research of the author using three of the six major theories of  intelligence. The computational methodologies are generic and can be extended to any facet  of human potential measurement and development. It is reliant on advances in computer and  communication technologies such as high speed networking, multimedia and virtual reality.  If future generations are to remember us more with gratitude than sorrow, we must achieve  more than just the miracles of technology. We must also leave them a glimpse of the world as  it was created, not just as it looked when we got through with it.  - Lyndon B. Johnson, 36th president of the United States of America


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Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding

Author Contributions

All authors contributed significantly to the work and approve its publication

Ethics Declaration

This article does not involve any human or animal subjects, and therefore does not require ethics approval

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

No conflicts of interest in this work


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Cite this article

T.V. Gopal. Computational Methodologies in Psychometry and Mental Health. RFP Ind Jr of Med Psy. 2024;7(1):19–25.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator


Received Accepted Published
April 03, 2024 May 29, 2024 June 30, 2024

DOI: NA

Keywords

PsychologyIntelligent QuotientHuman Resource DevelopmentPsychometryMental HealthComputational ModelsMultimediaVirtual Reality

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Timeline


Received April 03, 2024
Accepted May 29, 2024
Published June 30, 2024

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator


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