Diagnostic Analysis of Nonverbal Accuracy (DANVA)

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Evidence · 2 claims (2 for) · 1 study (1 associational), q3 · 1 of 1 report an effect size · 2 claims rest on one study

Description

The DANVA is a standardized assessment developed by researchers to measure facial and vocal emotion-recognition accuracy through emotion-labeled photographs and audio recordings.

Components

• Diagnostic Analysis of Nonverbal Accuracy (DANVA) as a measure of adult facial and vocal affect recognition: The DANVA is the standardized instrument this study used to assess nonverbal affect recognition in adults, measuring "nonverbal facial and vocal affect recognition skills" through 24 adult face photos and 24 audio-taped sentence recordings, each depicting happy, sad, angry, or fearful emotions at two intensity levels. Participants view each face for no more than 5 seconds or hear each recording, then identify the emotion. Scores are error counts by channel, emotion, and intensity. The article reports internal consistency of .78 to .90 for adult facial stimuli and .75 for vocal stimuli among middle-aged adults, with test-retest reliability of .84 over two months. (Miller et al. (2011))

Claims

• Adults with ADHD-Inattentive type make significantly more fearful affect recognition errors than non-ADHD controls on the DANVA [+M]
• Inattentive symptoms are positively associated with sad affect recognition errors while hyperactive-impulsive symptoms are negatively associated [+M]

Related Products and Programmes

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Key Sources

• Miller, M., Hanford, R. B., Fassbender, C., Duke, M., & Schweitzer, J. B. (2011). Affect Recognition in Adults with Attention-Deficit/Hyperactivity Disorder. Journal of Attention Disorders. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950374/

Page metadata

Field	Value
type	product
id	diagnostic-analysis-of-nonverbal-accuracy-danva
title	Diagnostic Analysis of Nonverbal Accuracy (DANVA)
description	The DANVA is a standardized assessment developed by researchers to measure facial and vocal emotion-recognition accuracy through emotion-labeled photographs and audio recordings.
status	review
product_kind	assessment
generated	by process:settle-candidates on 2026-10-17
trust	unverified — no one has confirmed this page's content

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