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Developing a Symptom Validity Test for posttraumatic stress disorder: application of the binomial distribution.
J Anxiety Disord. 2008 Dec; 22(8):1297-302.JA

Abstract

The past decade has witnessed a significant increase in research on the detection of malingered Posttraumatic Stress Disorder (PTSD) in civil litigation, other disability pension contexts, and in forensic cases. This article reviews the basic principles and statistical procedures that can be used to design and develop a Symptom Validity Test (SVT) for PTSD. We demonstrate how the practical application of the binomial distribution can detect response bias in specific psychiatric disorders such as PTSD and can provide empirically grounded probabilistic evidence of malingering. We cite the Morel Emotional Numbing Test for Posttraumatic Stress Disorder (MENT) as an example.

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Authors+Show Affiliations

Morel KR
Neuropsychology Laboratory, Psychology Service 116B, Department of Veterans Affairs Tennessee Valley Health Care System, 1310 24th Avenue South, Nashville, TN 37212-2637, United States. k_morel@yahoo.com
Shepherd BE
No affiliation info available

MeSH

Binomial DistributionCombat DisordersDiagnosis, DifferentialForensic PsychiatryHumansMalingeringNeuropsychological TestsPersonality InventoryProbabilityPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsStress Disorders, Post-TraumaticVeteransVietnam Conflict

Pub Type(s)

Journal Article
Review

Language

eng

PubMed ID

18295444

Citation

Morel, Kenneth R., and Bryan E. Shepherd. "Developing a Symptom Validity Test for Posttraumatic Stress Disorder: Application of the Binomial Distribution." Journal of Anxiety Disorders, vol. 22, no. 8, 2008, pp. 1297-302.
Morel KR, Shepherd BE. Developing a Symptom Validity Test for posttraumatic stress disorder: application of the binomial distribution. J Anxiety Disord. 2008;22(8):1297-302.
Morel, K. R., & Shepherd, B. E. (2008). Developing a Symptom Validity Test for posttraumatic stress disorder: application of the binomial distribution. Journal of Anxiety Disorders, 22(8), 1297-302. https://doi.org/10.1016/j.janxdis.2008.01.011
Morel KR, Shepherd BE. Developing a Symptom Validity Test for Posttraumatic Stress Disorder: Application of the Binomial Distribution. J Anxiety Disord. 2008;22(8):1297-302. PubMed PMID: 18295444.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Developing a Symptom Validity Test for posttraumatic stress disorder: application of the binomial distribution. AU - Morel,Kenneth R, AU - Shepherd,Bryan E, Y1 - 2008/01/19/ PY - 2007/10/22/received PY - 2008/01/11/revised PY - 2008/01/16/accepted PY - 2008/2/26/pubmed PY - 2009/1/13/medline PY - 2008/2/26/entrez SP - 1297 EP - 302 JF - Journal of anxiety disorders JO - J Anxiety Disord VL - 22 IS - 8 N2 - The past decade has witnessed a significant increase in research on the detection of malingered Posttraumatic Stress Disorder (PTSD) in civil litigation, other disability pension contexts, and in forensic cases. This article reviews the basic principles and statistical procedures that can be used to design and develop a Symptom Validity Test (SVT) for PTSD. We demonstrate how the practical application of the binomial distribution can detect response bias in specific psychiatric disorders such as PTSD and can provide empirically grounded probabilistic evidence of malingering. We cite the Morel Emotional Numbing Test for Posttraumatic Stress Disorder (MENT) as an example. SN - 0887-6185 UR - https://www.unboundmedicine.com/medline/citation/18295444/Developing_a_Symptom_Validity_Test_for_posttraumatic_stress_disorder:_application_of_the_binomial_distribution_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0887-6185(08)00019-4 DB - PRIME DP - Unbound Medicine ER -