The Structured Inventory of Malingered Symptomatology (SIMS): A Systematic Review and Meta-Analysis

We meta-analytically reviewed studies that used the Structured Inventory of Malingered Symptomatology (SIMS) to detect feigned psychopathology. We present weighted mean diagnostic accuracy and predictive power indices in various populations, based on 31 studies, including 61 subsamples and 4009 SIMS...

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Published inClinical neuropsychologist Vol. 28; no. 8; pp. 1336 - 1365
Main Authors van Impelen, Alfons, Merckelbach, Harald, Jelicic, Marko, Merten, Thomas
Format Journal Article
LanguageEnglish
Published Hove Routledge 17.11.2014
Psychology Press
Subjects
Online AccessGet full text
ISSN1385-4046
1744-4144
1744-4144
DOI10.1080/13854046.2014.984763

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Abstract We meta-analytically reviewed studies that used the Structured Inventory of Malingered Symptomatology (SIMS) to detect feigned psychopathology. We present weighted mean diagnostic accuracy and predictive power indices in various populations, based on 31 studies, including 61 subsamples and 4009 SIMS protocols. In addition, we provide normative data of patients, claimants, defendants, nonclinical adults, and various experimental feigners, based on 41 studies, including 125 subsamples and 4810 SIMS protocols. We conclude that the SIMS (1) is able to differentiate well between instructed feigners and honest responders; (2) generates heightened scores in groups that are known to have a raised prevalence of feigning (e.g., offenders who claim crime-related amnesia); (3) may overestimate feigning in patients who suffer from schizophrenia, intellectual disability, or psychogenic non-epileptic seizures; and (4) is fairly robust against coaching. The diagnostic power of the traditional cut scores of the SIMS (i.e., > 14 and > 16) is not so much limited by their sensitivity-which is satisfactory-but rather by their substandard specificity. This, however, can be worked around by combining the SIMS with other symptom validity measures and by raising the cut score, although the latter solution sacrifices sensitivity for specificity.
AbstractList We meta-analytically reviewed studies that used the Structured Inventory of Malingered Symptomatology (SIMS) to detect feigned psychopathology. We present weighted mean diagnostic accuracy and predictive power indices in various populations, based on 31 studies, including 61 subsamples and 4009 SIMS protocols. In addition, we provide normative data of patients, claimants, defendants, nonclinical adults, and various experimental feigners, based on 41 studies, including 125 subsamples and 4810 SIMS protocols. We conclude that the SIMS (1) is able to differentiate well between instructed feigners and honest responders; (2) generates heightened scores in groups that are known to have a raised prevalence of feigning (e.g., offenders who claim crime-related amnesia); (3) may overestimate feigning in patients who suffer from schizophrenia, intellectual disability, or psychogenic non-epileptic seizures; and (4) is fairly robust against coaching. The diagnostic power of the traditional cut scores of the SIMS (i.e., > 14 and > 16) is not so much limited by their sensitivity-which is satisfactory-but rather by their substandard specificity. This, however, can be worked around by combining the SIMS with other symptom validity measures and by raising the cut score, although the latter solution sacrifices sensitivity for specificity.
We meta-analytically reviewed studies that used the Structured Inventory of Malingered Symptomatology (SIMS) to detect feigned psychopathology. We present weighted mean diagnostic accuracy and predictive power indices in various populations, based on 31 studies, including 61 subsamples and 4009 SIMS protocols. In addition, we provide normative data of patients, claimants, defendants, nonclinical adults, and various experimental feigners, based on 41 studies, including 125 subsamples and 4810 SIMS protocols. We conclude that the SIMS (1) is able to differentiate well between instructed feigners and honest responders; (2) generates heightened scores in groups that are known to have a raised prevalence of feigning (e.g., offenders who claim crime-related amnesia); (3) may overestimate feigning in patients who suffer from schizophrenia, intellectual disability, or psychogenic non-epileptic seizures; and (4) is fairly robust against coaching. The diagnostic power of the traditional cut scores of the SIMS (i.e., > 14 and > 16) is not so much limited by their sensitivity—which is satisfactory—but rather by their substandard specificity. This, however, can be worked around by combining the SIMS with other symptom validity measures and by raising the cut score, although the latter solution sacrifices sensitivity for specificity.We meta-analytically reviewed studies that used the Structured Inventory of Malingered Symptomatology (SIMS) to detect feigned psychopathology. We present weighted mean diagnostic accuracy and predictive power indices in various populations, based on 31 studies, including 61 subsamples and 4009 SIMS protocols. In addition, we provide normative data of patients, claimants, defendants, nonclinical adults, and various experimental feigners, based on 41 studies, including 125 subsamples and 4810 SIMS protocols. We conclude that the SIMS (1) is able to differentiate well between instructed feigners and honest responders; (2) generates heightened scores in groups that are known to have a raised prevalence of feigning (e.g., offenders who claim crime-related amnesia); (3) may overestimate feigning in patients who suffer from schizophrenia, intellectual disability, or psychogenic non-epileptic seizures; and (4) is fairly robust against coaching. The diagnostic power of the traditional cut scores of the SIMS (i.e., > 14 and > 16) is not so much limited by their sensitivity—which is satisfactory—but rather by their substandard specificity. This, however, can be worked around by combining the SIMS with other symptom validity measures and by raising the cut score, although the latter solution sacrifices sensitivity for specificity.
Author Merckelbach, Harald
Jelicic, Marko
van Impelen, Alfons
Merten, Thomas
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  fullname: Merten, Thomas
  organization: Department of Neurology, Vivantes Klinikum im Friedrichshain
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IsPeerReviewed true
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Issue 8
Keywords Human
Questionnaire
Malingering
Response bias
Psychometrics
Review
Metaanalysis
Symptom validity
Symptomatology
Sensitivity
Specificity
Response falsification
Structured Inventory of Malingered Symptomatology
Simulation behavior
Psychopathology
Language English
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PublicationTitle Clinical neuropsychologist
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Snippet We meta-analytically reviewed studies that used the Structured Inventory of Malingered Symptomatology (SIMS) to detect feigned psychopathology. We present...
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SubjectTerms Biological and medical sciences
Humans
Interview, Psychological
Malingering
Malingering - diagnosis
Medical sciences
Neuropsychological Tests
Personality Inventory
Psychology. Psychoanalysis. Psychiatry
Psychometrics. Diagnostic aid systems
Psychopathology
Psychopathology. Psychiatry
Response bias
Sensitivity and Specificity
Structured Inventory of Malingered Symptomatology
Symptom validity
Techniques and methods
Title The Structured Inventory of Malingered Symptomatology (SIMS): A Systematic Review and Meta-Analysis
URI https://www.tandfonline.com/doi/abs/10.1080/13854046.2014.984763
https://www.ncbi.nlm.nih.gov/pubmed/25494444
https://www.proquest.com/docview/1643147528
Volume 28
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