Profile Analysis of Binet Kamat Intelligence Test in Tertiary Hospital.
Published In: Indian Journal of Health & Wellbeing, 2024, v. 15, n. 4. P. 573 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Selvam, V. S. 3 of 3
Abstract
Intelligence is described as the ability to think, learn from experience, solve problems, and adjust to new situations. The first intelligence testing movement began with Binet-Simon, a French psychologist, in the early 20th century. To find out the common level of paucity of primary mental abilities among the intellectual disabilities, borderline intelligence, and below-average intelligence in the Binet Kamat Test. It is a descriptive study comprising 362 samples that were collected from the Department of Clinical Psychology, Vinayaka Mission Medical College Hospital, Karaikal. We excluded people with intellectual disabilities with comorbidity and people who were not willing to give consent for the study. The study revealed that principally they are female, have mild intellectual disabilities, and have borderline intelligence. Basal age is from 4 yrs, mental age 4 to 13 yrs, and terminal age 19 yrs. The marital status shows primarily single and mostly married are slow learners. The primary mental abilities were started in early childhood, whereas verbal reasoning is from 9 yrs to 12 yrs. The non-verbal reasoning, social intelligence, and visuo-motor abilities were not improved after 14 years, whereas other primary mental abilities are improving. The test profile indicates an overall decline in mental abilities at the age of 19 years. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Indian Journal of Health & Wellbeing. 2024/12, Vol. 15, Issue 4, p573
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:2229-5356
- Accession Number:182338813
- Copyright Statement:Copyright of Indian Journal of Health & Wellbeing is the property of Indian Association of Health, Research & Welfare and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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