1. Abstract
The Short Test Of Music Preferences (STOMP) is an influential psychometric instrument developed by Peter J. Rentfrow and Samuel D. Gosling (2003) designed to assess individual differences in musical taste across broad preference dimensions. Rooted in empirical personality and differential psychology, the STOMP addresses the psychometric necessity of mapping subjective auditory consumption onto replicable latent constructs. The original STOMP consists of 14 broad musical genres evaluated on a 7-point Likert response scale ranging from 1 (Dislike strongly) to 7 (Like strongly). Through extensive exploratory and confirmatory factor analyses, Rentfrow and Gosling identified four robust, overarching music-preference dimensions: Reflective & Complex (encompassing Classical, Blues, Folk, and Jazz), Intense & Rebellious (comprising Alternative, Heavy Metal, and Rock), Upbeat & Conventional (including Country, Soundtracks, Religious, and Pop), and Energetic & Rhythmic (spanning Dance/Electronica, Rap/Hip-hop, and Soul/Funk).
Psychometrically, the STOMP exhibits solid structural stability, strong convergent and discriminant validity with the Big Five personality traits, and robust test-retest reliability over two- to three-week intervals (mean test-retest coefficient r = .82). The scale has facilitated breakthrough research in social psychology, affective science, and behavioral profiling, establishing that musical preferences function not merely as idiosyncratic aesthetic judgments, but as outward manifestations of core psychological architecture, emotional regulation strategies, cognitive processing styles, and identity projection. This article presents a thorough psychometric review of the STOMP, detailing its theoretical foundation, psychometric properties, factor structure, and practical utility in research and clinical contexts.
2. Keywords
Short Test Of Music Preferences, STOMP, music psychology, personality traits, Big Five, Five-Factor Model, individual differences, aesthetic preferences, psychometrics, Rentfrow and Gosling, musical genres, emotional regulation.
3. Authors
The Short Test Of Music Preferences was developed by Peter J. Rentfrow and Samuel D. Gosling at the Department of Psychology, University of Texas at Austin.
- Peter J. Rentfrow, Ph.D.: Professor of Personality and Individual Differences in the Department of Psychology at the University of Cambridge, Fellow of Fitzwilliam College. His research focuses on the intersections of personality, geographical psychology, digital behavioral footprints, and musical preferences.
- Samuel D. Gosling, Ph.D.: Professor of Psychology at the University of Texas at Austin. Dr. Gosling is internationally recognized for his pioneering work on social perception, nonverbal communication, personality manifestation in physical and virtual environments, and very brief psychometric instruments (including the Ten-Item Personality Inventory; TIPI).
Correspondence regarding the original development of the STOMP was historically addressed through the University of Texas at Austin, Department of Psychology, Austin, Texas 78712, and subsequently maintained through academic repositories and lab resources hosted by both investigators.
4. Purpose
Music represents a ubiquitous human behavior across cultures and historical eras, yet for decades psychology lacked a unified, empirically validated taxonomical tool to measure musical preferences systematically. Prior to the creation of the STOMP, investigations into musical taste relied on fragmented genre lists, ad-hoc single-item indicators, or narrow musical stimuli that precluded cross-study comparisons. The primary purpose of the STOMP was to bridge this gap by establishing an empirically derived, psychometrically sound, and parsimonious inventory capable of capturing the shared variance among diverse musical genres.
Rentfrow and Gosling sought to address fundamental questions in personality and social psychology: Why do individuals gravitate toward particular genres? Do aesthetic choices correlate reliably with enduring personality dispositions, cognitive styles, and social orientations? How do individuals use musical consumption to signal social identities, establish peer affiliations, and regulate internal affective states? The STOMP provides researchers with an efficient, reliable, and valid instrument to capture broad musical preference profiles without imposing excessive respondent burden.
Beyond academic personality research, the STOMP serves diverse applied and clinical purposes:
- Clinical & Music Therapy Settings: Therapists utilize preference profiling to curate personalized receptive music therapy protocols. Understanding whether a patient prefers Reflective & Complex music or Upbeat & Conventional music informs interventions for major depressive disorder, generalized anxiety, neurorehabilitation, and trauma integration.
- Cognitive & Affective Neuroscience: Researchers use STOMP dimensions to examine neural correlates of auditory reward processing, functional connectivity within the mesolimbic dopamine pathway, and hemispheric lateralization during music listening.
- Consumer Behavior & Recommendation Algorithms: Digital streaming platforms and market researchers implement the latent structural architecture uncovered by the STOMP to refine collaborative filtering mechanisms, acoustic feature modeling, and user behavioral segmentation.
- Interpersonal Perception & Social Cognition: The tool serves as an experimental paradigm to explore zero-acquaintance personality impressions, stereotype accuracy, and social signaling through musical displays.
5. Psychological Construct
The Short Test Of Music Preferences operationalizes musical preference as an individual’s self-reported liking for distinct auditory art forms that cluster into four higher-order latent psychological constructs. These four dimensions reflect not only sonic and structural characteristics (e.g., tempo, acoustic density, harmonic complexity, vocal dominance), but also psychological needs, cognitive orientations, and affective regulation goals.
1. Reflective & Complex
The Reflective & Complex dimension captures preferences for musical styles characterized by structural intricacy, harmonic depth, acoustic instrumentation, and contemplative emotional tones. In the 14-item STOMP, this factor is composed of Classical, Blues, Folk, and Jazz. High scorers on this dimension gravitate toward auditory stimuli that invite cognitive reflection, philosophical contemplation, and emotional nuance. This preference is strongly linked to high intellectual curiosity, openness to aesthetic and sensory experiences, cognitive complexity, and a tolerance for ambiguity. Listeners drawn to Reflective & Complex music frequently use auditory art to stimulate imaginative daydreaming, engage in analytical problem solving, and process complex melancholic or bittersweet affective states.
2. Intense & Rebellious
The Intense & Rebellious dimension encompasses music marked by loud acoustic energy, distorted electric guitars, fast tempos, aggressive vocalizations, and lyrical themes addressing sociopolitical critique, existential struggle, or nonconformity. Measured by Alternative, Heavy Metal, and Rock, this construct reflects an affinity for visceral, high-arousal auditory environments. Individuals high in this dimension typically display elevated levels of risk-taking, sensation seeking, physical vigor, and skepticism toward conventional cultural norms. Rather than signaling antisocial behavior, as historic cultural panics suggested, preferences for intense music often represent adaptive emotional venting, identity stabilization, somatic tension discharge, and cathartic management of frustration or anger.
3. Upbeat & Conventional
The Upbeat & Conventional dimension comprises Country, Soundtracks, Religious, and Pop music. This dimension reflects an affinity for musically uncomplicated, harmonically predictable, melodic, and positive acoustic compositions. The psychological construct centers on adherence to social consensus, traditional community values, emotional directness, and relational harmony. Individuals scoring high on Upbeat & Conventional preferences tend to score higher on extraversion, conscientiousness, agreeableness, and religiosity, while exhibiting lower openness to non-traditional ideas. For these listeners, music serves primarily as a socializing mechanism, an acoustic accompaniment to daily domestic routines, an affirmation of collective identities, and a straightforward mood-brightener.
4. Energetic & Rhythmic
The Energetic & Rhythmic dimension includes Dance/Electronica, Rap/Hip-hop, and Soul/Funk. This construct is characterized by prominent percussive pulses, pronounced syncopation, danceable grooves, structural repetition, and strong sub-bass frequencies. Psychologically, it is tightly coupled with extraversion, sociability, physical animation, externalized emotional expression, and somatic integration. High scorers utilize music to elevate physical arousal during social gatherings, athletic performance, and interpersonal dancing. Furthermore, preferences for rap and soul capture deep relational and social-narrative engagement, providing listeners with validation of lived sociopolitical experiences, urban identity, and expressive self-presentation.
6. Theoretical Framework
The conceptual architecture of the STOMP is anchored in the convergence of differential psychology, the Uses and Gratifications Theory (UGT), and social identity frameworks.
Trait Theory and the Five-Factor Model
The dominant theoretical paradigm undergirding the STOMP is the Five-Factor Model (FFM) of personality (Costa & McCrae, 1992; Goldberg, 1990). Personality traits are conceptualized as endogenous basic tendencies that channel how individuals perceive, interact with, and select their physical and sonic environments. Rentfrow and Gosling asserted that music listening is not an arbitrary behavior; rather, individuals act as active agents selecting auditory inputs that correspond to their internal personality traits—a process known as environmental niche picking.
- Openness to Experience aligns directly with Reflective & Complex music, driven by an appetite for cognitive stimulation, novelty, and aesthetic absorption.
- Extraversion correlates consistently with both Upbeat & Conventional and Energetic & Rhythmic genres, as extraverted individuals require higher baseline auditory stimulation to sustain optimal cortical arousal levels (Eysenck’s arousal theory).
- Agreeableness and Conscientiousness associate systematically with conventional, prosocial musical expressions (e.g., country, gospel, melodic pop) that emphasize interpersonal cohesion and emotional balance.
Uses and Gratifications Theory
Derived from communications and media research, Uses and Gratifications Theory posits that media consumers deliberately choose media formats to fulfill specific psychological, cognitive, and affective needs. Within this framework, musical genres function as psychological tools utilized for:
- Emotional Regulation: Mitigating distress, venting aggression, or inducing euphoria.
- Cognitive Enhancement: Providing background focus for complex intellectual tasks versus providing intellectual engagement in itself.
- Identity Construction & Projection: Signaling autonomy, rebellious nonconformity, or community belonging to peer groups.
- Social Integration: Facilitating shared cultural rituals, dance, and collective bonding.
Brunswikian Lens Model of Environmental Signaling
Gosling and Rentfrow integrated Egon Brunswik’s (1956) Lens Model to explain how musical preferences serve as observable “behavioral residue” and “identity claims.” Observers reliably form accurate impressions of unfamiliar targets based solely on their STOMP preference profiles, particularly regarding their level of openness, extraversion, and emotional stability. Musical taste operates as an auditory badge of identity, broadcasting values, political leanings, and cultural affiliations across social contexts.
7. Validity
The psychometric validity of the STOMP has been substantiated across independent investigations involving university undergraduates, general population samples, and cross-cultural cohorts.
Construct & Factorial Validity
Rentfrow and Gosling (2003) established construct validity through a systematic two-study exploratory and confirmatory design. Initially surveying over 1,700 undergraduate students across 80 distinct musical subgenres, they found that common musical styles naturally coalesced into a parsimonious 14-genre framework. Subsequent principal-components analyses yielded a clean four-factor solution that accounted for roughly 48% to 57% of total variance across diverse samples. Confirmatory factor analysis (CFA) cross-validated the four-factor model against competing one-, two-, and three-factor models, demonstrating superior goodness-of-fit indices (CFI > .90; RMSEA < .06).
Convergent Validity
Convergent validity is documented through robust correlations between STOMP dimensions, Big Five personality inventories (such as the BFI, NEO-PI-R, and TIPI), and standardized cognitive assessments:
- Reflective & Complex correlates strongly and positively with Openness to Experience (r = .37 to .46, p < .001) and standardized measures of verbal IQ and abstract reasoning.
- Intense & Rebellious exhibits moderate positive correlations with Openness to Experience (r = .22 to .31, p < .001) and sensation-seeking scales (Zuckerman’s Sensation Seeking Scale; r = .28 to .38, p < .001), alongside negative correlations with political conservatism.
- Upbeat & Conventional correlates positively with Agreeableness (r = .20 to .28, p < .001), Conscientiousness (r = .16 to .24, p < .01), and self-reported religiosity (r = .35 to .45, p < .001), while correlating negatively with Openness to Experience (r = -.18 to -.24, p < .01).
- Energetic & Rhythmic demonstrates moderate positive associations with Extraversion (r = .25 to .34, p < .001) and perceived interpersonal attractiveness.
Discriminant Validity
Discriminant validity is supported by negligible cross-factor loadings and differential relationships with external criteria. For example, Neuroticism (Emotional Stability) demonstrates near-zero linear correlations with STOMP preference dimensions, indicating that musical taste reflects structural stylistic preferences and aesthetic styles rather than generalized neurotic distress or psychiatric symptomatology.
Predictive & Criterion-Related Validity
The STOMP demonstrates criterion validity in predicting observable behaviors, including actual digital media consumption, CD purchases, concert attendance, and social identity markers. In laboratory behavioral tasks, participants’ self-reported STOMP scores reliably predict their real-time liking ratings when exposed to unfamiliar acoustic excerpts representative of those genres, showing that verbal genre labels serve as accurate proxies for direct auditory preferences.
8. Reliability
The reliability of the STOMP has been evaluated using both internal consistency metrics and temporal stability (test-retest) assessments.
Internal Consistency
Because the STOMP uses a deliberately parsimonious set of items (three to four broad genres per dimension), traditional measures of internal consistency such as Cronbach’s alpha are constrained by small subscale lengths. Nevertheless, across validation studies, the coefficients remain within psychometrically acceptable bounds for brief multidimensional inventories:
- Reflective & Complex (4 items): Cronbach’s α typically ranges from .67 to .73.
- Intense & Rebellious (3 items): Cronbach’s α ranges from .65 to .75.
- Upbeat & Conventional (4 items): Cronbach’s α ranges from .53 to .68 (the lower boundary reflecting the broader cultural heterogeneity between country and pop music).
- Energetic & Rhythmic (3 items): Cronbach’s α ranges from .61 to .72.
When expanded in the 23-item Revised version (STOMP-R), internal consistency values increase substantially, with subscale alphas regularly reaching .74 to .84.
Temporal Stability (Test-Retest Reliability)
The STOMP demonstrates exceptional temporal stability, confirming that broad music preferences operate as stable, trait-like orientations rather than transient mood-dependent states. Over a 2- to 3-week test-retest window, Rentfrow and Gosling (2003) obtained the following test-retest correlation coefficients:
- Reflective & Complex: r = .88
- Intense & Rebellious: r = .82
- Upbeat & Conventional: r = .80
- Energetic & Rhythmic: r = .79
- Mean overall test-retest stability: r = .82
Subsequent longitudinal follow-ups over 6 to 12 months have yielded temporal correlations exceeding r = .65, illustrating substantial long-term stability across young adulthood and middle age.
9. Factor Analysis
The empirical derivation of the STOMP represents a benchmark application of exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA) in aesthetic psychology.
Exploratory Factor Analysis (EFA)
In the initial scale construction phases, Rentfrow and Gosling subjected the 14 genre items to Principal Components Analysis (PCA) with both orthogonal (Varimax) and oblique (Promax) rotations across multiple participant samples (N > 1,700). Examination of the scree plot and Kaiser’s criterion (eigenvalues > 1.0) consistently supported a four-factor structure.
Typical factor loadings from the primary validation studies are summarized below:
- Factor 1: Reflective & Complex (Eigenvalue ≈ 2.87; ~20.5% variance explained)
- Blues: .68 to .76
- Jazz: .71 to .78
- Classical: .62 to .71
- Folk: .58 to .67
- Factor 2: Intense & Rebellious (Eigenvalue ≈ 2.14; ~15.3% variance explained)
- Rock: .74 to .82
- Alternative: .70 to .79
- Heavy Metal: .65 to .75
- Factor 3: Upbeat & Conventional (Eigenvalue ≈ 1.62; ~11.6% variance explained)
- Country: .62 to .72
- Religious / Gospel: .59 to .68
- Pop: .52 to .64
- Soundtracks: .48 to .58
- Factor 4: Energetic & Rhythmic (Eigenvalue ≈ 1.35; ~9.6% variance explained)
- Rap/Hip-hop: .72 to .80
- Soul/Funk: .66 to .75
- Dance/Electronica: .58 to .69
Confirmatory Factor Analysis (CFA) and Model Fit
In confirmatory structural modeling across independent samples, the four-factor model demonstrated satisfactory fit indices superior to rival alternative structures:
- Comparative Fit Index (CFI): .91 to .94
- Tucker-Lewis Index (TLI): .89 to .92
- Root Mean Square Error of Approximation (RMSEA): .051 to .059 (90% CI [.042, .065])
- Standardized Root Mean Square Residual (SRMR): .044 to .052
Although inter-factor correlations are low to moderate (e.g., small positive correlations between Reflective & Complex and Intense & Rebellious, r ≈ .20), the factors represent distinct, non-redundant domains of musical taste.
10. Instrument / Measurement Tool
The Short Test Of Music Preferences is structured as follows:
- Instrument Name: Short Test Of Music Preferences (STOMP)
- Authors: Peter J. Rentfrow and Samuel D. Gosling (2003)
- Assessment Type: Self-report psychological questionnaire / aesthetic preference scale
- Target Population: Adolescents, university students, and adult populations
- Administration Time: Approximately 2 to 3 minutes
- Number of Items: 14 individual genre items
- Response Scale: 7-point Likert scale:
- 1 = Dislike strongly
- 2 = Dislike moderately
- 3 = Dislike a little
- 4 = Neither like nor dislike
- 5 = Like a little
- 6 = Like moderately
- 7 = Like strongly
- Subscale Composition & Scoring Procedure: No reverse-scored items. Dimension scores are computed by calculating the arithmetic mean of the items comprising each subscale:
- Reflective & Complex: Mean of Classical, Blues, Folk, and Jazz (4 items)
- Intense & Rebellious: Mean of Alternative, Heavy Metal, and Rock (3 items)
- Upbeat & Conventional: Mean of Country, Soundtracks, Religious, and Pop (4 items)
- Energetic & Rhythmic: Mean of Dance/Electronica, Rap/Hip-hop, and Soul/Funk (3 items)
11. Permissions & Fee and Test Year
The Short Test Of Music Preferences was first published in 2003 by the American Psychological Association in the Journal of Personality and Social Psychology. The authors, Peter J. Rentfrow and Samuel D. Gosling, placed the instrument in the public domain for academic, scientific, and non-commercial educational use. Researchers, clinicians, and educators may reproduce, administer, and translate the STOMP without formal permission or licensing fees, provided that appropriate scholarly attribution is cited in resulting publications.
For commercial implementations, algorithmic integrations within proprietary consumer software, or monetized platforms, parties should seek permission through the original authors or the copyright holder (American Psychological Association). Official study resources, scoring matrices, and the expanded 23-item STOMP-Revised (STOMP-R) are curated on Dr. Samuel Gosling’s research portal at the University of Texas at Austin.
12. References
- Brunswik, E. (1956). Perception and the representative design of psychological experiments (2nd ed.). University of California Press.
- Costa, P. T., Jr., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) professional manual. Psychological Assessment Resources.
- Goldberg, L. R. (1990). An alternative “description of personality”: The Big-Five factor structure. Journal of Personality and Social Psychology, 59(6), 1216–1229. https://doi.org/10.1037/0022-3514.59.6.1216
- Gosling, S. D., Rentfrow, P. J., & Swann, W. B., Jr. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37(6), 504–528. https://doi.org/10.1016/S0092-6566(03)00046-1
- Rentfrow, P. J., & Gosling, S. D. (2003). The do re mi’s of everyday life: The structure and personality correlates of music preferences. Journal of Personality and Social Psychology, 84(6), 1236–1256. https://doi.org/10.1037/0022-3514.84.6.1236
- Rentfrow, P. J., & Gosling, S. D. (2006). Message in a ballad: The role of music preferences in interpersonal perception. Psychological Science, 17(3), 236–242. https://doi.org/10.1111/j.1467-9280.2006.01691.x
- Rentfrow, P. J., Goldberg, L. R., & Levitin, D. J. (2011). The structure of musical preferences: A five-factor model. Journal of Personality and Social Psychology, 100(6), 1139–1157. https://doi.org/10.1037/a0022406
- Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge University Press.