Analysis of the Prevalence of Dissociative Identity Disorder Using Neutrosophic Plithogenic Statistics
Dissociative Identity Disorder (DID) is one of the most enigmatic, intricate issues of contemporary psychiatry. It is challenging to assess how prevalent it is and what diagnosis means because dissociative identity disorder is a complicated disorder that manifests differently across populations. Yet...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-07-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | http://fs.unm.edu/NSS/10.DissociativeIdentityPlithogenic.pdf |
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| Summary: | Dissociative Identity Disorder (DID) is one of the most enigmatic, intricate issues of contemporary psychiatry. It is challenging to assess how prevalent it is and what diagnosis means because dissociative identity disorder is a complicated disorder that manifests differently across populations. Yet when the disorder can be analyzed with statistically significant results from solid populations, critical advances in disorder awareness, treatment, and quality of life for those with IDD exist. Yet the literature does not provide such a statistical approach that will process uncertainty and vagueness based upon clinical observation of persons with DID. Therefore, this research attempts to apply neutrosophic plithogenic statistics—an advanced calculating technique—to a clearly defined population of subjects to ascertain significance from findings that are less meaningful. This creative statistical method applied to It a representative sample over time not only produces results that manifest otherwise unrecognized patterns of frequency and incidence of DID, but it also renders theoretical and practical contributions to the field. The findings expand the theoretical base of consideration for DID and allow educators/researchers/clinicians better clarity of the subtleties, and need for definitive diagnosis. Beyond theory, the findings help real clinicians in practical applications for better diagnosis and treatment of DID. Therefore, this project extends both theoretical benefits over statistical probability that better behavior capitalizes on generalization of DID, as well as practical application for real-world clinical comprehension of this disorder. |
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| ISSN: | 2331-6055 2331-608X |