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Id 540fd839-e379-4578-9a27-93b5de31b754

Year 2022

Abstract Misophonia is a newly described disorder of sound tolerance characterized by strong negative emotional reactions to specific “trigger” sounds, resulting in significant distress, pathological avoidance, and impairment in daily life. Research on misophonia is still in its infancy, and most existing psychometric tools for assessing misophonia symptoms have not been extensively validated. The purpose of the current study was to introduce and psychometrically validate the duke-vanderbilt Misophonia Screening Questionnaire (DVMSQ), a novel self-report measure of misophonia symptoms that can be used to determine misophonia “caseness” in clinical and research settings. Employing large online samples of general population adults ( n = 1403) and adults on the autism spectrum ( n = 936), we rigorously evaluated the internal structure, reliability, validity, and measurement invariance of the DVMSQ. Results indicated that 17 of the 20 original DVMSQ items fit well to a bifactor structure with one “general misophonia” factor and four specific factors (anger/aggression, distress/avoidance, impairment, and global impact). DVMSQ total and subscale scores were highly reliable in both general population and autistic adult samples, and the measure was found to be approximately invariant across age, sex, education level, and autism status. DVMSQ total scores also correlated strongly with another measure of misophonia symptoms (Duke Misophonia Questionnaire–Symptom Scale), with correlations between these two measures being significantly stronger than correlations between the DVMSQ and scales measuring other types of sound intolerance (Inventory of Hyperacusis Symptoms [General Loudness subscale] and DSM-5 Severity Measure for Specific Phobia [modified for phonophobia]). Additionally, DVMSQ items were used to operationalize diagnostic criteria for misophonia derived from the Revised Amsterdam Criteria, which were further updated to reflect a recent consensus definition of misophonia (published after the development of the DVMSQ). Using the new DVMSQ algorithm, 7.3% of general population adults and 35.5% of autistic adults met criteria for clinically significant misophonia. Although additional work is needed to further investigate the psychometric properties of the DVMSQ and validate its theory-based screening algorithm using best-estimate clinical diagnoses, this novel measure represents a potentially useful tool to screen for misophonia and quantify symptom severity and impairment in both autistic adults and the general population.

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Psychometric validation of a brief self-report measure of misophonia symptoms and functional impairment
(Williams et al., 2022)

Import Date 05-27-2026

Template Version Notes •corrected error in rendering the linked PDF in metadata section • added the tag “noted” to the definition of comments to ignore ( like with the “in another note” tag. this is so that when making notes on chapters of a textbook, i can still export things for manual addition to the obsidian note without having to keep track of what has already been added ). Also moved the version notes to the yaml section • this version added the bookmarks section to auto collect all bookmarks. it also dropped the template auto fill of the initial source field because we never got it working and just overwrote it manually anyway. this version also added logic to handle “in another note” tag. annotations marked with this are completely ignored. used when i have information covered in a bigger note, but still want to highlight that part in text for visual clarity (so as to avoid duplicates of the same information) • running the import more then once will overwrite the file, so do not import again if you have made changes in obsidian that are not in the zotero article.

Dv Authors Zachary J. Williams, Carissa J. Cascio, Tiffany G. Woynaroski,

Dv Initial Source Misophonia MOC

Dv Status #status/Bare-bones-review

Dv Limitations • No interview-based gold standard; criterion-related validity and diagnostic efficiency (sensitivity, specificity, PPV/NPV) not assessable. • Diagnostic criteria were finalized after data collection; DVMSQ does not assess all consensus definition features (e.g., indirect avoidance, symptom duration ≥6 months assumed rather than measured). • Cross-sectional design precludes test-retest reliability, temporal classification stability, or sensitivity-to-change analyses. • Self-reported autism diagnoses in SPARK not independently confirmed. • Selection bias possible; studies advertised as "sensory sensitivities," potentially oversampling individuals with misophonia. • Updated screening item clarifying text has not been empirically tested.

Dv Future Directions • Criterion-related validity studies using structured clinical interviews as gold standard. • Test-retest reliability and sensitivity-to-change studies, especially for treatment research. • Development of measures that fully capture consensus definition features not covered by DVMSQ. • IRT-based precision analyses and weighted scoring algorithms. • Validation in adolescents, autistic individuals with intellectual disability, and other clinical populations. • Independent replication of revised DVMSQ structure with updated screening item wording.

Dv Relevance • study describing the introduction and validation of a Misophonia scale , the duke-vanderbilt Misophonia Screening Questionnaire (DVMSQ) • scale was made in collaboration with Zach from Duke while the Duke Misophonia questionnaire (DMQ) was in development. • one of the coauthors ( Carissa J. Cascio) is a PI at KU that I applied to work for as a post doc during my 2026 job search • scale is shown to be useful in screening Misophonia and quantifying symptoms in autistic and general populations

Notes Audited 2026-05-27T10:20:00

Audit Notes audited as review was done

•

Psychometric validation of a brief self-report measure of misophonia symptoms and functional impairment: The duke-vanderbilt misophonia screening questionnaire

Status:: #status/Bare-bones-review

Metadata

Item Type: #journalArticle
Authors:: Zachary J. Williams, Carissa J. Cascio, Tiffany G. Woynaroski,
Date Added: May 19, 2026
URL: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.897901/full
DOI: 10.3389/fpsyg.2022.897901
Cite Key: williamsPsychometricValidationBrief2022
Tags:: #Autism, #Bare-bones-review-🦴, #clinical, #Decreased-sound-tolerance, #diagnosis, #item-response-theory, #measures, #Misophonia, #psychometrics,
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Abstract


Background/Purpose	Background- • Misophonia involves strong negative emotional reactions (anger, irritation, disgust) to specific trigger sounds, often accompanied by avoidance behavior and daily life impairment. • Reactions can be triggered by non-auditory stimuli (visual triggers, imagined sounds) and are distinct from hyperacusis and phonophobia, though co-occurrence is possible. • Estimated prevalence ~12.8% in an interview-based epidemiological study; linked to female sex, younger age, and co-occurring psychiatric conditions. • Misophonia lacks formal recognition in ICD or DSM; no consensus diagnostic criteria have been operationalized from the published consensus definition (Swedo et al., 2022). • Most existing self-report misophonia measures rely on cutoff scores rather than criterion-based caseness algorithms. • The DVMSQ was developed alongside the DMQ but specifically to operationalize proposed diagnostic criteria and assess functional impairment; it had not yet been psychometrically validated. • Autistic individuals are anecdotally reported to have high rates of misophonia-like symptoms but have been largely excluded from misophonia research. Purpose- • Introduce and psychometrically validate the DVMSQ in general-population adults and autistic adults. • Evaluate internal structure, reliability, validity, and measurement invariance of the DVMSQ across multiple subgroups. • Propose updated operational diagnostic criteria derived from the consensus definition and operationalize them via the DVMSQ. • Estimate misophonia prevalence in general-population and autistic adult samples using the DVMSQ algorithm.
Participants/samples	• General population (Prolific): n = 1,403 U.S. adults recruited via Prolific crowdsourcing; sex-balanced by design; age 18–83; rigorous data quality exclusions (attention checks, infrequency items, IP filters); n = 833 screened positive on DVMSQ item S1. • Autistic (SPARK): n = 936 legally independent autistic adults from SPARK Research Match; self-reported professional autism diagnosis; predominantly female; n = 645 completed all DVMSQ items. • Key exclusions: severe/profound hearing loss, cochlear implant use, dementia/MCI, failed data quality checks.
Measures	• DVMSQ: 1 Yes/No screening item + 20 Likert items (12 symptom frequency, 8 impairment); free-text fields for triggers and physical symptoms. • DMQ (abbreviated): trigger list, trigger frequency, DMQ Symptom Scale (DMQ-SS, 23 items), global impairment VAS. • IHS: 25-item hyperacusis measure; General Loudness subscale (IHS-LOUD) used for discriminant validity. • DSM-SP (modified for phonophobia): 10-item specific phobia severity scale re-anchored to sound exposure contexts. • OASIS, ODSIS: anxiety and depression severity/impairment (Prolific only). • CUANGOS: clinically relevant anger (Prolific only). • SSS-8: somatic symptom burden (Prolific only). • RLSS: quality of life / life satisfaction (Prolific only).
Procedures	• Secondary data analysis of two independent survey studies. • DVMSQ skip logic: participants answering "No" to S1 did not complete subsequent items. • Prolific survey completed via REDCap; SPARK survey via Tempus Dynamics platform. • Exploratory graph analysis (EGA) used to assess dimensionality; Factor Forest method used for convergent dimensionality confirmation. • Full-information bifactor graded response IRT models fit iteratively in exploratory Prolific subsample (n = 417), replicated in holdout subsample (n = 416), then fit in full Prolific sample (n = 833) and SPARK sample (n = 645). • DIF tested via iterative Wald test procedure across diagnostic group, age, sex, and education level. • Validity assessed via zero-order Pearson and polyserial correlations; differential correlation comparisons via Zou (2007) confidence interval method.
Results	• EGA identified four communities: Anger/Aggression (items 1, 2, 4, 7), Distress/Avoidance (items 5, 6, 8, 9, 10, 11, 12), Specific Impairment (items 13–16, 17), Global Impact (items 3, 18, 19, 20); Factor Forest confirmed four-dimensional structure. • Three items were excluded from the final measurement model: fear/panic (item 3; loaded separately from other symptom dimensions), excessive/unreasonable reactions (item 11; poor and negative specific factor loading), and impairment in concentration (item 17; local dependence with item 14). • Final 17-item bifactor model fit adequately in exploratory, holdout, Prolific combined, and SPARK samples; symptom and impairment subscales were each well-fit by their own bifactor models. • DVMSQ total score reliability was very high in both samples; the general factor accounted for a smaller relative proportion of total score variance than in the symptom-only model, largely due to the sizable variance attributed to the specific Overall Impairment factor. • DVMSQ total and symptom scores correlated more strongly with DMQ-SS than with IHS-LOUD or DSM-SP, supporting convergent and discriminant validity; impairment score did not differentiate across these measures. • Contrary to predictions, DVMSQ scores did not correlate more strongly with anger than with anxiety, depression, or somatic symptoms; in all but one case, somatic symptom burden was the strongest non-misophonia correlate. • DIF by autism status was practically ignorable at the total scale level (DTF < 0.1 Cohen's d); only item 12 (avoidance) showed practically significant DIF by both autism status and sex; DVMSQ judged approximately measurement invariant across age, sex, education, and diagnostic group. • DVMSQ algorithm classified 7.3% of general-population adults and 35.5% of autistic adults as having clinically significant misophonia; an additional ~10% in each sample met subclinical criteria. • Misophonia caseness was associated with female sex in both samples; younger age and lower college completion were associated only in the Prolific sample. • Over 85% of individuals meeting misophonia criteria in both samples endorsed oronasal or throat sounds as triggers.
Discussion/Limits	Conclusion- • DVMSQ demonstrates robust and replicable bifactor structure, high reliability, and adequate construct validity in both general-population and autistic adults. • Exclusion of the fear/panic item aligns with Jager et al. (2020) finding that triggers evoke anger/disgust rather than fear per se; item retained in questionnaire for clinical differentiation from phonophobia. • Removal of the "excessive/unreasonable reactions" criterion reflects the consensus definition's removal of insight requirements for diagnosis. • The DVMSQ represents the first attempt to operationalize the misophonia consensus definition into a formal diagnostic algorithm, though the proposed criteria are provisional and were not themselves derived from expert consensus. • DVMSQ impairment score reflects general decreased sound tolerance impairment rather than misophonia-specific impairment; researchers should not use it as a discriminant index across sound tolerance disorders. • Misophonia in autistic adults is not structurally distinct from misophonia in non-autistic adults, supporting its classification as a separate entity rather than a feature of autism-associated sensory reactivity. • DVMSQ is the first misophonia measure validated for autistic adults; approximately 35% of independent autistic adults met criteria, substantially exceeding general-population prevalence. • General-population prevalence estimate (7.3%) aligns with the only prior interview-based epidemiological study; 93.5% of previously diagnosed individuals were correctly flagged. • Misophonia severity did not correlate more strongly with anger than other emotional distress dimensions, contrary to theoretical predictions emphasizing anger as central. • The authors strongly recommend that all putative misophonia measures be demonstrated to correlate more strongly with same-construct measures than with phenomenologically different sound tolerance measures, to avoid conflating misophonia with broadly defined decreased sound tolerance in research.
Limitations::	• No interview-based gold standard; criterion-related validity and diagnostic efficiency (sensitivity, specificity, PPV/NPV) not assessable. • Diagnostic criteria were finalized after data collection; DVMSQ does not assess all consensus definition features (e.g., indirect avoidance, symptom duration ≥6 months assumed rather than measured). • Cross-sectional design precludes test-retest reliability, temporal classification stability, or sensitivity-to-change analyses. • Self-reported autism diagnoses in SPARK not independently confirmed. • Selection bias possible; studies advertised as "sensory sensitivities," potentially oversampling individuals with misophonia. • Updated screening item clarifying text has not been empirically tested.
Future Directions::	• Criterion-related validity studies using structured clinical interviews as gold standard. • Test-retest reliability and sensitivity-to-change studies, especially for treatment research. • Development of measures that fully capture consensus definition features not covered by DVMSQ. • IRT-based precision analyses and weighted scoring algorithms. • Validation in adolescents, autistic individuals with intellectual disability, and other clinical populations. • Independent replication of revised DVMSQ structure with updated screening item wording.
Relevance::	• study describing the introduction and validation of a Misophonia scale , the duke-vanderbilt Misophonia Screening Questionnaire (DVMSQ) • scale was made in collaboration with Zach from Duke while the Duke Misophonia questionnaire (DMQ) was in development. • one of the coauthors ( Carissa J. Cascio) is a PI at KU that I applied to work for as a post doc during my 2026 job search • scale is shown to be useful in screening Misophonia and quantifying symptoms in autistic and general populations

Notes

key terms and concepts

misophonia – disorder of sound tolerance characterized by strong negative emotional reactions to specific "trigger" sounds, resulting in significant distress, pathological avoidance, and impairment in daily life.
DVMSQ – duke-vanderbilt Misophonia Screening Questionnaire; brief self-report measure assessing core misophonia symptoms and functional impairment, designed to assign misophonia caseness via a criterion-based diagnostic algorithm.
misophonia caseness – classification status indicating whether an individual meets criteria for clinically significant misophonia.
bifactor model – latent variable model in which items load on one general factor and simultaneously on narrower specific factors.
differential item functioning (DIF) – condition in which items function differently across subgroups at equivalent levels of the latent trait, potentially introducing measurement bias.
differential test functioning (DTF) – aggregate impact of all item-level DIF on total score differences between groups.
Revised Amsterdam Criteria – previously proposed operational diagnostic criteria for misophonia, from Jager et al. (2020), which served as the template for the DVMSQ item pool and the updated diagnostic algorithm used here.
consensus definition – expert-derived Delphi definition of misophonia (Swedo et al., 2022) used to update the DVMSQ diagnostic algorithm beyond the Revised Amsterdam Criteria.
subclinical misophonia – DVMSQ classification for individuals meeting all symptom criteria (A–D) but not the impairment criterion (F).
omega hierarchical (ωH) – bifactor index quantifying the proportion of total score variance attributable to the general factor alone.
ECV – explained common variance; bifactor index reflecting the proportion of common variance due to the general factor; used to assess essential unidimensionality.
Bifactor IRT- a psychometric modeling approach in which each item is simultaneously regressed onto one broad general factor and one narrower specific factor, with item-level parameters estimated within an item response theory framework.

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contextual statement

In a 2022 study, Williams et al. attempted to psychometrically validate the DVMSQ as a brief self-report measure of misophonia symptoms and functional impairment by administering it to a large general-population Prolific sample (n = 1,403) and an autistic adult SPARK sample (n = 936), using bifactor IRT modeling, DIF testing, and correlation-based validity analyses.

summary statement

Zettelkasten

introduction, validation, and use of the duke-Vanderbilt misophonia screening questionnaire (DVMSQ)