Properties (15)
- purpleRed
- (Bain et al., 2025)
•
A Psychometric Analysis of the Duke Misophonia Questionnaire
Status:: #status/Bare-bones-review
Metadata
- Item Type: #journalArticle
- Authors:: Catherine M. Bain, Jordan E. Norris, Alex Conley, Patrick D. Manapat, Lauren E. Ethridge,
- Date:
- Date Added: 1755661030000
- URL: https://onlinelibrary.wiley.com/doi/10.1002/jclp.70028
- DOI: 10.1002/jclp.70028
- Cite Key: bainPsychometricAnalysisDuke2025
- Topics: [object Object]
- Tags:: #Bare-bones-review-🦴, #clinical, #DMQ, #measures, #Misophonia,
- PDF Attachments
Abstract
| Background/Purpose | Background- • Misophonia lacks formal diagnostic criteria, reducing standardization across clinical and research studies. • Limited number of psychometrically developed or evaluated misophonia scales exists. • Poor psychometric quality can lead to under-/overestimation of effects and inaccurate construct conclusions. • DMQ developed via refinement of items from prior misophonia measures with clinician, stakeholder, and patient/family input. • DMQ development used within-subscale EFA and IRT but no complete dimensionality assessment. • DMQ scored on nine theoretically derived subscales; overall scale dimensionality never assessed. • Analyzing subscales separately fails to account for inter-subscale correlations, causing information loss and biased factor loadings. • Several DMQ theoretical subscales required complex bi-factor models during development. • Initial constrained CFA approach may have produced over- or underfactoring; overfactoring more likely. • Item analysis during development was within-factor only. Purpose- • Assess dimensionality of the DMQ to determine factor structure via EFA/CFA approach. • Perform exploratory item analysis via MIRT framework given multidimensional structure. • Conduct first psychometric evaluation of the theory-based eight-factor structure via CFA. • Compare theory-defined eight-factor model against most plausible empirically derived model. • Perform content analysis to understand resulting factors and regression analysis for validity evidence. |
| Participants/samples | • Two samples from University of Oklahoma Psychology Research Pool (SONA), recruited online. • Sample 1 (exploratory): N = 318; predominantly female; predominantly White; aged 18–30. • Sample 2 (validation): N = 424; predominantly female; predominantly White; aged 18–26. • Combined full sample: N = 742. • Exclusions: failed attention check; under age 18; prior participation (Sample 2). • No missing data in either sample. • Time-window-based split into exploratory and validation sets. |
| Measures | • DMQ – 86-item self-report; nine theoretical dimensions; trigger items (binary) excluded, leaving 70 nontrigger items; Likert frequency scale (never–always/almost always). • MQ (Misophonia Questionnaire) – 20-item three-part measure; symptoms scale, emotions/behaviors scale, single severity item; used for convergent validity. • ASP (Adolescent and Adult Sensory Profile) – self-report four-factor sensory processing measure (low registration, sensory sensitivity, sensation avoiding, sensation seeking); used for divergent validity. • ASQ (Anxiety Symptoms Questionnaire) – self-report frequency/severity of anxiety symptoms; cognitive and somatic items; used for divergent validity. |
| Procedures | • EFA conducted on Sample 1 using polychoric correlations, OLS estimation, oblique (direct quartimin) rotation; psych package in R. • Factor number determined by scree plot and parallel analysis; models with two through eight factors estimated. • Solution selection based on simple structure, item retention, and construct validity (loading threshold 0.32). • CFA via lavaan with DWLS/WLSMV estimator and polychoric correlations; fit indices χ², TLI, CFI, SRMR, RMSEA. • Plausible models fit as CFA in Sample 1, validated in Sample 2, final estimates from combined full sample. • MGRM fit to full sample using mirt package; MH-RM estimation algorithm. • Internal consistency via coefficient alpha and omega. • EAP scores entered as simultaneous predictors in regression analyses for convergent (MQ) and divergent (ASQ, ASP) validity. |
| Results | • Scree plot suggested two/three factors; parallel analysis suggested eight factors. • Two-, three-, four-, six-, seven-, and eight-factor models failed simple structure and/or lost items with cross-loadings. • Five-factor model contained no cross-loadings and retained all items; labeled beliefs, coping, impairment, aversion, anxiety. • Five-factor model demonstrated adequate fit in validation and full sample. • Content analysis: beliefs factor mapped onto original beliefs subscale; coping collapsed prior coping subscales; impairment absorbed an item about hurting the sound-maker; aversion captured negative emotionality and sound avoidance/stopping; anxiety separated worry, somatic arousal, and powerlessness items. • MIRT slopes varied across items, indicating differential relation to the misophonia construct. • DMQ more precise at moderate-to-high misophonia levels; functions less well at low levels; aversion factor evenly distributed across the range while beliefs provides little information at low levels. • Internal consistency high across all five factors. • Convergent validity (MQ): all factors except anxiety predicted severity; all factors predicted emotions/behaviors; all factors except beliefs predicted symptoms. • Divergent validity (ASQ): all factors except coping predicted anxiety total; substantial unexplained variance in DMQ anxiety. • Divergent validity (ASP): factors differentially predicted sensory subscales; partial divergence with substantial unexplained variance in anxiety and beliefs. • Eight-factor theoretical model demonstrated adequate fit; no content analysis repeated. • Five-factor model more parsimonious and slightly better fitting than eight-factor model. |
| Discussion/Limits | Conclusion- • This represents the first complete dimensionality assessment of the overall DMQ. • A novel, more parsimonious five-factor conceptualization of misophonia retains all 70 substantive items. • Structural evidence supports the theoretically derived eight-factor model from Rosenthal et al. (2021). • Separation of a distinct anxiety factor may help differentiate general anxiety from misophonia-specific impairment. • The aversion factor captures core experiential features of misophonia and may index intervention effects on aversive reactions. • Five-factor model is recommended for screening, outcome tracking, and large-scale research; eight-factor model suits granular symptom profiling and individualized treatment targeting. • Misophonia appears conceptually distinct, though partially overlapping, with anxiety and sensory processing constructs. • All 70 items contributed differential information; DMQ functions best for higher-severity individuals. • Misophonia is likely best understood as a spectrum including nonpathological emotional responses. |
| Limitations:: | • Nonclinical, university-based convenience sample limits clinical utility; no formal diagnostic criteria applied. • Sample may underrepresent individuals with highly severe symptoms. • Only self-report measures used. • Only one misophonia measure (MQ) used for convergent validity. |
| Future Directions:: | • Examine the five-factor structure in clinical samples with determined misophonia. • Conduct differential item functioning (DIF) and MIMIC analyses to assess measurement invariance across groups. • Use exploratory structural equation modeling (ESEM) to evaluate cross-loadings in both models. • Incorporate biological/neurophysiological measures beyond self-report. • Validate against additional misophonia measures (e.g., Amsterdam Misophonia Scale, Misophonia Assessment Questionnaire). • Develop items informative at lower misophonia levels to expand scale scope. |
| Relevance:: | • study did a psychometric analysis of the DMQ, finding evidence for a five-factor model |
Notes
key terms and concepts
-
Misophonia – a condition characterized by a decreased tolerance for specific auditory stimuli (triggers) followed by strong, negative emotional, physiological, and behavioral responses to trigger exposure.
-
DMQ (Duke Misophonia Questionnaire) – an 86-item self-report instrument developed to comprehensively assess misophonia, consisting of nine theoretically derived dimensions.
-
EFA (exploratory factor analysis) – a less constrained version of the common factor model used at early/exploratory phases of scale development to prevent under- and overfactoring.
-
CFA (confirmatory factor analysis) – a more constrained factor analytic technique placing a priori constraints on factor number and structure.
-
Simple structure – a factor solution where each item loads strongly onto only one factor and each factor has multiple items loading strongly onto it.
-
IRT (item response theory) – a collection of latent variable models seeking to uncover the underlying process influencing responses to observed variables, driven by properties of individuals (θ) and items.
-
MIRT (multidimensional item response theory) – multidimensional adaptations of IRT models able to account for correlations between factors.
-
MGRM (multidimensional graded response model) – the extension of Samejima's graded response model incorporating multiple dimensions of latent traits.
-
Information – Fisher information; the metric IRT uses to characterize precision/reliability, provided at item level (IIFs) and test level (TIFs).
-
EAP (expected a posteriori) – scale score estimates derived from the mean of the posterior distribution.
-
θ (theta) – level of the latent variable or construct of interest (misophonia in this context).
my engagement notes
my questions
my comments
Bookmarks
reading notes
contextual statement
In a 2025 study, Bain attempted to conduct a complete psychometric evaluation of the Duke Misophonia Questionnaire by applying an EFA/CFA dimensionality assessment and MIRT item analysis to two online university student samples (combined N = 742), using the MQ, ASP, and ASQ as validation measures.