Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis:: A Multisite Study

Todd S. Woodward; Kwanghee Jung; Heungsun Hwang; John Yin; Laura Taylor; Mahesh Menon; Emmanuelle Peters; Elizabeth Kuipers; Flavie Waters; Tania Lecomte; Iris E. Sommer; Kirstin Daalman; Remko van Lutterveld; Daniella Hubl; Jochen Kindler; Phillip Homan; Johanna C. Badcock; Saruchi Chhabra; Matteo Cella; Sarah Keedy; Paul Allen; Andrea Mechelli; Antonio Preti; Sara Siddi; David Erickson

doi:10.1093/schbul/sbu014

Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study

Todd S. Woodward, Kwanghee Jung, Heungsun Hwang, John Yin, Laura Taylor, Mahesh Menon, Emmanuelle Peters, Elizabeth Kuipers, Flavie Waters, Tania Lecomte, Iris E. Sommer, Kirstin Daalman, Remko van Lutterveld, Daniella Hubl, Jochen Kindler, Phillip Homan, Johanna C. Badcock, Saruchi Chhabra, Matteo Cella, Sarah KeedyPaul Allen, Andrea Mechelli, Antonio Preti, Sara Siddi, David Erickson

Research output: Contribution to journal › Article

Abstract

The Psychotic Symptom Rating Scales (PSYRATS) is an instrument designed to quantify the severity of delusions and hallucinations and is typically used in research studies and clinical settings focusing on people with psychosis and schizophrenia. It is comprised of the auditory hallucinations (AHS) and delusions subscales (DS), but these subscales do not necessarily reflect the psychological constructs causing intercorrelation between clusters of scale items. Identification of these constructs is important in some clinical and research contexts because item clustering may be caused by underlying etiological processes of interest. Previous attempts to identify these constructs have produced conflicting results. In this study, we compiled PSYRATS data from 12 sites in 7 countries, comprising 711 participants for AHS and 520 for DS. We compared previously proposed and novel models of underlying constructs using structural equation modeling. For the AHS, a novel 4-dimensional model provided the best fit, with latent variables labeled Distress (negative content, distress, and control), Frequency (frequency, duration, and disruption), Attribution (location and origin of voices), and Loudness (loudness item only). For the DS, a 2-dimensional solution was confirmed, with latent variables labeled Distress (amount/intensity) and Frequency (preoccupation, conviction, and disruption). The within-AHS and within-DS dimension intercorrelations were higher than those between subscales, with the exception of the AHS and DS Distress dimensions, which produced a correlation that approached the range of the within-scale correlations. Recommendations are provided for integrating these underlying constructs into research and clinical applications of the PSYRATS.

Original language	English
Pages (from-to)	S265-S274
Journal	SCHIZOPHRENIA BULLETIN
Volume	40
DOIs	https://doi.org/10.1093/schbul/sbu014
Publication status	Published - 2014

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10.1093/schbul/sbu014

http://dx.doi.org/10.1093/schbul/sbu014

Cite this

Woodward, T. S., Jung, K., Hwang, H., Yin, J., Taylor, L., Menon, M., Peters, E., Kuipers, E., Waters, F., Lecomte, T., Sommer, I. E., Daalman, K., van Lutterveld, R., Hubl, D., Kindler, J., Homan, P., Badcock, J. C., Chhabra, S., Cella, M., ... Erickson, D. (2014). Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study. SCHIZOPHRENIA BULLETIN, 40, S265-S274. https://doi.org/10.1093/schbul/sbu014

@article{c069512016a745a9b66da84ce3694e56,

title = "Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis:: A Multisite Study",

abstract = "The Psychotic Symptom Rating Scales (PSYRATS) is an instrument designed to quantify the severity of delusions and hallucinations and is typically used in research studies and clinical settings focusing on people with psychosis and schizophrenia. It is comprised of the auditory hallucinations (AHS) and delusions subscales (DS), but these subscales do not necessarily reflect the psychological constructs causing intercorrelation between clusters of scale items. Identification of these constructs is important in some clinical and research contexts because item clustering may be caused by underlying etiological processes of interest. Previous attempts to identify these constructs have produced conflicting results. In this study, we compiled PSYRATS data from 12 sites in 7 countries, comprising 711 participants for AHS and 520 for DS. We compared previously proposed and novel models of underlying constructs using structural equation modeling. For the AHS, a novel 4-dimensional model provided the best fit, with latent variables labeled Distress (negative content, distress, and control), Frequency (frequency, duration, and disruption), Attribution (location and origin of voices), and Loudness (loudness item only). For the DS, a 2-dimensional solution was confirmed, with latent variables labeled Distress (amount/intensity) and Frequency (preoccupation, conviction, and disruption). The within-AHS and within-DS dimension intercorrelations were higher than those between subscales, with the exception of the AHS and DS Distress dimensions, which produced a correlation that approached the range of the within-scale correlations. Recommendations are provided for integrating these underlying constructs into research and clinical applications of the PSYRATS.",

author = "Woodward, {Todd S.} and Kwanghee Jung and Heungsun Hwang and John Yin and Laura Taylor and Mahesh Menon and Emmanuelle Peters and Elizabeth Kuipers and Flavie Waters and Tania Lecomte and Sommer, {Iris E.} and Kirstin Daalman and {van Lutterveld}, Remko and Daniella Hubl and Jochen Kindler and Phillip Homan and Badcock, {Johanna C.} and Saruchi Chhabra and Matteo Cella and Sarah Keedy and Paul Allen and Andrea Mechelli and Antonio Preti and Sara Siddi and David Erickson",

year = "2014",

doi = "10.1093/schbul/sbu014",

language = "English",

volume = "40",

pages = "S265--S274",

journal = "SCHIZOPHRENIA BULLETIN",

issn = "0586-7614",

publisher = "Oxford University Press",

}

Woodward, TS, Jung, K, Hwang, H, Yin, J, Taylor, L, Menon, M, Peters, E, Kuipers, E, Waters, F, Lecomte, T, Sommer, IE, Daalman, K, van Lutterveld, R, Hubl, D, Kindler, J, Homan, P, Badcock, JC, Chhabra, S, Cella, M, Keedy, S, Allen, P, Mechelli, A, Preti, A, Siddi, S & Erickson, D 2014, 'Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study', SCHIZOPHRENIA BULLETIN, vol. 40, pp. S265-S274. https://doi.org/10.1093/schbul/sbu014

TY - JOUR

T1 - Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis:

T2 - A Multisite Study

AU - Woodward, Todd S.

AU - Jung, Kwanghee

AU - Hwang, Heungsun

AU - Yin, John

AU - Taylor, Laura

AU - Menon, Mahesh

AU - Peters, Emmanuelle

AU - Kuipers, Elizabeth

AU - Waters, Flavie

AU - Lecomte, Tania

AU - Sommer, Iris E.

AU - Daalman, Kirstin

AU - van Lutterveld, Remko

AU - Hubl, Daniella

AU - Kindler, Jochen

AU - Homan, Phillip

AU - Badcock, Johanna C.

AU - Chhabra, Saruchi

AU - Cella, Matteo

AU - Keedy, Sarah

AU - Allen, Paul

AU - Mechelli, Andrea

AU - Preti, Antonio

AU - Siddi, Sara

AU - Erickson, David

PY - 2014

Y1 - 2014

N2 - The Psychotic Symptom Rating Scales (PSYRATS) is an instrument designed to quantify the severity of delusions and hallucinations and is typically used in research studies and clinical settings focusing on people with psychosis and schizophrenia. It is comprised of the auditory hallucinations (AHS) and delusions subscales (DS), but these subscales do not necessarily reflect the psychological constructs causing intercorrelation between clusters of scale items. Identification of these constructs is important in some clinical and research contexts because item clustering may be caused by underlying etiological processes of interest. Previous attempts to identify these constructs have produced conflicting results. In this study, we compiled PSYRATS data from 12 sites in 7 countries, comprising 711 participants for AHS and 520 for DS. We compared previously proposed and novel models of underlying constructs using structural equation modeling. For the AHS, a novel 4-dimensional model provided the best fit, with latent variables labeled Distress (negative content, distress, and control), Frequency (frequency, duration, and disruption), Attribution (location and origin of voices), and Loudness (loudness item only). For the DS, a 2-dimensional solution was confirmed, with latent variables labeled Distress (amount/intensity) and Frequency (preoccupation, conviction, and disruption). The within-AHS and within-DS dimension intercorrelations were higher than those between subscales, with the exception of the AHS and DS Distress dimensions, which produced a correlation that approached the range of the within-scale correlations. Recommendations are provided for integrating these underlying constructs into research and clinical applications of the PSYRATS.

AB - The Psychotic Symptom Rating Scales (PSYRATS) is an instrument designed to quantify the severity of delusions and hallucinations and is typically used in research studies and clinical settings focusing on people with psychosis and schizophrenia. It is comprised of the auditory hallucinations (AHS) and delusions subscales (DS), but these subscales do not necessarily reflect the psychological constructs causing intercorrelation between clusters of scale items. Identification of these constructs is important in some clinical and research contexts because item clustering may be caused by underlying etiological processes of interest. Previous attempts to identify these constructs have produced conflicting results. In this study, we compiled PSYRATS data from 12 sites in 7 countries, comprising 711 participants for AHS and 520 for DS. We compared previously proposed and novel models of underlying constructs using structural equation modeling. For the AHS, a novel 4-dimensional model provided the best fit, with latent variables labeled Distress (negative content, distress, and control), Frequency (frequency, duration, and disruption), Attribution (location and origin of voices), and Loudness (loudness item only). For the DS, a 2-dimensional solution was confirmed, with latent variables labeled Distress (amount/intensity) and Frequency (preoccupation, conviction, and disruption). The within-AHS and within-DS dimension intercorrelations were higher than those between subscales, with the exception of the AHS and DS Distress dimensions, which produced a correlation that approached the range of the within-scale correlations. Recommendations are provided for integrating these underlying constructs into research and clinical applications of the PSYRATS.

U2 - 10.1093/schbul/sbu014

DO - 10.1093/schbul/sbu014

M3 - Article

SN - 0586-7614

VL - 40

SP - S265-S274

JO - SCHIZOPHRENIA BULLETIN

JF - SCHIZOPHRENIA BULLETIN

ER -