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Data · dataset · 2018

The development of an Embedded Figures Test for the detection of feigned attention deficit hyperactivity disorder in adulthood

Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/mtgvue

Objectives: It has been shown that an increasing number of adults deliberately feign attention d eficit hyperactivity disorder (ADHD), which demonstrates the need for new tests designed to detect feigned ADHD.

Description

Methods

An Embedded Figures Test (EFT) was developed for the detection of feigned ADHD in adulthood. EFT performance of 51 adults with ADHD was compared to the performance of 52 matched healthy individuals, as well as to 268 undergraduate students who were randomly allocated in a simulation design to one of four experimental conditions, i.e. a control group, a naïve simulation group, a symptom-coached simulation group or a test-coached simulation group.

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Furthermore, an independent sample of 11 adults with ADHD as well as a sample of 17 clinicians experienced in the work with adults with ADHD was assessed for further validation of the EFT. Results: The EFT was relatively easy to perform for both patients with ADHD and healthy comparisons as shown by low error rates and non-significant group differences. However, simulation groups differed from patients with ADHD by significant and large effects.

An EFT index for the prediction of feigned ADHD was derived based on logistic regression coefficients. Receiver Operating Characteristics (ROC) demonstrated good classification accuracy of feigned ADHD relative to ADHD (AUC = 94.8%), i.e. high sensitivity (88%) and specificity (90%). Conclusions: This study supports the utility of the EFT for the detection of feigned adult ADHD.

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Stated by source
Social Sciences · Social Sciences
Inferred from text
Simulation 75%
Provenance · 2 source records, 13 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/MTGVUE12 d agoJSON v1
ODISSEI Portaldoi:10.34894/MTGVUE9 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].dataverse_subject:social-sciencessource · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[method].local:method:simulationenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (75%)
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