Evidence map›Paper›PMID 32431781›Full record

ArticlePsychological injury and law2020

Psychometric Performance of the Miller Forensic Assessment of Symptoms Test (M-FAST) in Veteran PTSD Assessment.

Erika J Wolf, Stephanie Ellickson-Larew, Rachel E Guetta, Shaline Escarfulleri, Karen Ryabchenko, Mark W Miller

Open access · greenAbstract read
In one paragraph

Article in Psychological injury and law, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Psychometric properties of the Chinese version of PROMIS-29 in patients receiving kidney replacement therapy.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Erika J WolfNational Center for PTSD at VA Boston Healthcare System.
Stephanie Ellickson-LarewNational Center for PTSD at VA Boston Healthcare System.
Rachel E GuettaNational Center for PTSD at VA Boston Healthcare System.
Shaline EscarfulleriNational Center for PTSD at VA Boston Healthcare System.
Karen RyabchenkoNational Center for PTSD at VA Boston Healthcare System.
Mark W MillerNational Center for PTSD at VA Boston Healthcare System.
University School · USVA Boston Healthcare System · USBoston University · USNational Center for PTSD · US

Funding

Intramural VA VA999999
6 · The paper itself

Abstract

This study examined the psychometric properties of a widely used measure of symptom exaggeration, the Miller Forensic Assessment of Symptoms Test (M-FAST, Miller, 2001), in a sample of 209 (83.7% male) trauma-exposed veterans (57.9% probable current posttraumatic stress disorder; PTSD). M-FAST total scores evidenced acceptable internal consistency, but several subscales showed poor internal consistency. Factor analytic and item-response theory analyses identified seven poorly performing items. Comparisons with other measures of psychopathology and response validity (including subscales from the Minnesota Multiphasic Personality Inventory-2 Restructured Form) revealed that M-FAST scores were highly correlated with indices of psychopathology while less strongly associated with measures of symptom over-reporting. Empirically and clinically-derived (using a follow-up testing-the-limits procedure) revised M-FAST scores failed to improve the measure's psychometric performance. Results raise concerns about the validity of the M-FAST for identifying malingering in veterans with PTSD and carry implications for access to care and forensic evaluations in this population.

Identifiers

PMID32431781
PMCPMC7236380
OpenAlexW3016485114

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.