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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Do hallucinations exist on a continuum with subclinical hallucinatory experiences?
T2 - A multi-method taxometric study
AU - Elahi, Anam
AU - Fletcher, Cheri
AU - Perez Algorta, Guillermo
AU - White, Ross G
AU - Bentall, Richard P
PY - 2025/5/21
Y1 - 2025/5/21
N2 - BackgroundThere remains a debate about whether symptoms of psychosis lie on a continuum with healthy functioning or exist separately and are taxonic. This issue has important implications for the classification, assessment and treatment of psychosis. Research has highlighted that some symptoms of psychosis, such as paranoia, have a dimensional latent structure but it remains to be seen whether this is true for other symptoms.AimTo assess the latent structure of hallucinations in a diverse sample using taxometric methods.MethodsThree taxometric procedures; MAMBAC, MAXEIG and L-MODE, were applied to a dataset of clinical (n=290) and non-clinical (n=1580) participants who had completed the Launay-Slade Hallucinations Scale- revised (LSHS-R). Analyses were initially conducted with a non-clinical group before a clinical group was included, increasing the likelihood of producing a pseudo-taxon.ResultsThree out of six taxometric analyses found a strong dimensional result (non-clinical sample; MAXEIG and L-Mode analyses. Whole sample; MAXEIG analysis). Two of the other three results were more in favour of a dimension (non-clinical sample; MAMBAC analysis and L-Mode analyses). The final analysis (whole sample; MAMBAC) supported neither a dimension nor a taxon.DiscussionDespite some ambiguity in the findings, we observe some indications that hallucinations, like paranoia, could be dimensional, especially in the non-clinical sample. Clinical implications of these findings are discussed. Potential issues with the LSHS-R mean that results should be interpreted with some caution. The development of additional scales or assessments for hallucinations, expanding recruitment to more diverse non-clinical and clinical populations, is recommended.Keywords: Hallucinations, taxometrics, MAMBAC, MAXEIG, L-MODE
AB - BackgroundThere remains a debate about whether symptoms of psychosis lie on a continuum with healthy functioning or exist separately and are taxonic. This issue has important implications for the classification, assessment and treatment of psychosis. Research has highlighted that some symptoms of psychosis, such as paranoia, have a dimensional latent structure but it remains to be seen whether this is true for other symptoms.AimTo assess the latent structure of hallucinations in a diverse sample using taxometric methods.MethodsThree taxometric procedures; MAMBAC, MAXEIG and L-MODE, were applied to a dataset of clinical (n=290) and non-clinical (n=1580) participants who had completed the Launay-Slade Hallucinations Scale- revised (LSHS-R). Analyses were initially conducted with a non-clinical group before a clinical group was included, increasing the likelihood of producing a pseudo-taxon.ResultsThree out of six taxometric analyses found a strong dimensional result (non-clinical sample; MAXEIG and L-Mode analyses. Whole sample; MAXEIG analysis). Two of the other three results were more in favour of a dimension (non-clinical sample; MAMBAC analysis and L-Mode analyses). The final analysis (whole sample; MAMBAC) supported neither a dimension nor a taxon.DiscussionDespite some ambiguity in the findings, we observe some indications that hallucinations, like paranoia, could be dimensional, especially in the non-clinical sample. Clinical implications of these findings are discussed. Potential issues with the LSHS-R mean that results should be interpreted with some caution. The development of additional scales or assessments for hallucinations, expanding recruitment to more diverse non-clinical and clinical populations, is recommended.Keywords: Hallucinations, taxometrics, MAMBAC, MAXEIG, L-MODE
M3 - Journal article
JO - Schizophrenia Research
JF - Schizophrenia Research
SN - 0920-9964
ER -