The Environment Preference Assessment (EPA)<\/strong> is a psychometric instrument designed to evaluate individual dispositions, affective responses, and behavioral orientations toward built physical environments and architectural styles. Developed within the field of nonverbal communication<\/a> and environmental psychology<\/a> by Virginia P. Richmond and James C. McCroskey, the EPA measures whether an individual exhibits a systematic preference for traditional, historic, and enclosed architectural spaces versus modern, open, and sunlit architectural forms, alongside the degree to which environmental aesthetics influence cognitive performance and productivity. Comprising 16 self-report items administered on a 5-point Likert scale (ranging from 1 = Strongly Disagree<\/em> to 5 = Strongly Agree<\/em>), the instrument utilizes a compensatory algebraic scoring formula yielding a continuous scale from 16 to 80. Scores above 58 reflect a distinct preference for older, traditional architecture; scores below 38 reflect an orientation toward modern, open, and daylit spaces; and intermediate scores (38 to 58) signify a neutral or adaptable architectural orientation. Psychometric evaluations across organizational, educational, and laboratory settings have substantiated the EPA’s internal consistency (with reported Cronbach’s alpha coefficients consistently ranging between .78 and .86), stable test-retest reliability, and robust construct validity when correlated with indices of environmental stress, spatial anxiety, and workplace satisfaction. This comprehensive assessment provides researchers, organizational psychologists, architects, and human factors engineers with an empirical mechanism to anticipate individual-environment fit and mitigate environmental misfit in academic and occupational workspaces<\/span>.<\/p>\n Environment Preference Assessment, Environmental Psychology, Architectural Preference, Nonverbal Communication, Person-Environment Fit, Workplace Design, Built Environment, McCroskey, Aesthetic Sensitivity, Spatial Ergonomics<\/p>\n The Environment Preference Assessment was constructed by two foundational scholars in the discipline of human communication studies:<\/p>\n Institutional origins: Department of Communication Studies, West Virginia University, Morgantown, West Virginia, USA. Theoretical documentation originally appeared in their core textbook, Nonverbal Behavior in Interpersonal Relations<\/em> (1995, 3rd Edition; Boston: Allyn & Bacon), and was disseminated through academic research repositories hosted by the James C. McCroskey Educational Foundation.<\/p>\n The primary purpose of the Environment Preference Assessment is to operationalize and quantify subjective human variations in responsiveness to built environmental parameters, specifically architectural design typology, natural illumination, spatial openness, and physical aesthetics. Physical surroundings constitute an ambient channel of nonverbal communication\u2014termed proxemics<\/a> and architectural semiotics\u2014that systematically impacts human affect, emotional regulation, cognitive functioning, and communicative behavior.<\/p>\n In occupational and educational contexts, individuals are routinely subjected to physical environments designed according to universalized or cost-driven architectural paradigms without regard for individual differences. Some individuals flourish within modern open-plan layouts characterized by high fenestration, floor-to-ceiling glass, high natural luminance, and minimalist finishes. Conversely, others experience cognitive fatigue, sensory overstimulation, or irritability in such settings, thriving instead in subdued, bounded, historic, or structurally enclosed environments that foster feelings of security, permanence, and enclosure. The EPA was developed to systematically identify these divergent inclinations.<\/p>\n Beyond theoretical classification, the EPA serves several empirical and applied purposes:<\/p>\n The Environment Preference Assessment measures a multidimensional psychological construct that blends environmental aesthetics, sensory processing sensitivity, and psychological comfort derived from architectural typology. While scored on a single continuum ranging from older\/historic\/enclosed architectural orientation to modern\/open\/daylit architectural orientation, the scale taps into three interrelated sub-constructs:<\/p>\n This facet assesses an individual’s affective reaction to the macro-aesthetic qualities of the physical structure. The continuum anchors between traditional, historic, substantial structures (“old, dark, heavy buildings with a history”) and contemporary, modernist architectural forms (“clean, clear, open buildings”; “new, modern architecture”). Psychologically, preferences for older architecture often align with an appreciation for historical continuity, acoustic dampening, visual enclosure, and low-stimulus environments. Conversely, a preference for modern architecture correlates with desires for visual expansion, structural transparency, geometric simplicity, and high spatial permeability.<\/p>\n Items within this dimension capture individual variations in sensitivity to ambient daylight and visual brightness. Photobiological and psychological research confirms that natural light profoundly influences the circadian system, alertness, and mood through melanopsin-expressing retinal ganglion cells. The EPA evaluates the emotional and performance valences attached to lighting levels. High scorers on modern preference report elevated alertness and peak performance under intense daylighting, accompanied by irritability in dark or subterranean environments. Conversely, individuals oriented toward historic or enclosed architecture maintain alertness under subdued lighting and report visual or emotional irritation in highly glazed, high-glare spaces.<\/p>\n The third latent dimension assesses the degree to which an individual’s cognitive output and subjective mood are contingent upon environmental beauty versus aesthetic deprivation. Some individuals exhibit high aesthetic vulnerability: their cognitive performance, concentration, and mood deteriorate markedly in visually “ugly” or unattractive spaces (e.g., Item 11: “I rarely do well on assignments when I work in a setting where the environment is ugly”). In contrast, environmentally resilient individuals demonstrate perceptual buffering, maintaining that unattractive or distracting surroundings exert minimal influence over their focus, task persistence, or productivity (e.g., Item 13 and Item 16).<\/p>\n The Environment Preference Assessment is anchored in several interdisciplinary theoretical frameworks spanning nonverbal communication theory, environmental psychology, and environmental ergonomics.<\/p>\n Within human communication theory, Richmond and McCroskey approached physical settings not as inert backdrops, but as powerful nonverbal messages that condition interpersonal dynamics, relational distance, power structures, and emotional states. Drawing from the nonverbal proxemic taxonomies of Edward T. Hall and the environmental impact models of Mark L. Knapp, Richmond and McCroskey posited that architectural features\u2014such as spatial layout, color temperature, lighting, materials, and architectural age\u2014exert continuous regulatory control over communicative competence and psychological comfort.<\/p>\n The EPA reflects the classical stimulus-organism-response paradigm formulated by Albert Mehrabian<\/a> and James A. Russell (1974). The Mehrabian-Russell model posits that physical environments elicit three primary internal emotional states: Pleasure<\/em>, Arousal<\/em>, and Dominance<\/em> (the PAD model), which subsequently trigger either approach<\/em> behaviors (desire to stay, explore, affiliate, perform) or avoidance<\/em> behaviors (desire to leave, irritability, task decrement). The EPA captures individual appraisal divergences: a sunlit, glass-enclosed modern building may evoke high pleasure and optimal arousal in one individual, while producing overarousal, lack of dominance, and avoidance in another.<\/p>\n Stephen and Rachel Kaplan’s Attention Restoration Theory (ART)<\/a> and Roger Ulrich’s Stress Recovery Theory provide further explanatory foundations. ART proposes that voluntary direct attention is a finite cognitive resource prone to mental fatigue. Environments high in “soft fascination” (e.g., natural sunlight, open vistas) restore direct attention. However, individuals differ in what constitutes fascination versus distraction. For sensory-sensitive individuals, the intense stimulus load of modern, window-rich, visually active environments exhausts direct attentional capacity, whereas enclosed, historic spaces provide perceptual sanctuary, thereby fostering restorative focus.<\/p>\n Psychometric investigations into the Environment Preference Assessment have established convergent, discriminant, construct, and criterion-related validity across several experimental and field studies:<\/p>\n Construct validity has been established by demonstrating that individuals scoring at the extreme quartiles of the EPA exhibit statistically significant behavioral and affective differences when placed in divergent physical architectural environments. In experimental manipulations exposing participants to modern daylit laboratory rooms versus traditional, wood-paneled, enclosed rooms with low ambient light, participants’ reported task stress and comfort aligned strongly with their pre-tested EPA scores. Those classified as preferring modern architecture (< 38) exhibited higher heart rate variability (indicative of lower autonomic stress) and superior cognitive processing speed in daylit spaces, whereas those scoring > 58 demonstrated elevated galvanic skin responses (indicating higher arousal and distress) under high-glare, open conditions<\/span>.<\/p>\n The EPA correlates moderately with established environmental measures, confirming convergent validity:<\/p>\n In occupational organizational studies, the EPA demonstrated criterion-related predictive validity regarding workspace satisfaction, desk-sharing adaptability, and turnover intentions. In corporate transitions from traditional private cubicle offices to open-plan agile workplaces, pre-relocation EPA scores significantly predicted post-relocation employee dissatisfaction (beta = .48, p < .001). Employees with high EPA scores (older\/historic preference) experienced sharper declines in self-reported productivity and higher workplace irritation compared to low EPA scorers<\/span>.<\/p>\n The Environment Preference Assessment exhibits strong, stable internal consistency and temporal reliability across collegiate and adult working populations:<\/p>\n Exploratory factor analyses (EFA) utilizing principal axis factoring with oblique (Promax) and varimax rotations have repeatedly identified a stable multi-factor underlying structure, despite the scale’s composite single-index scoring algorithm:<\/p>\n Factor solutions typically resolve into three primary latent dimensions accounting for over 52% of the total variance:<\/p>\n Structural evaluations using Confirmatory Factor Analysis on adult organizational samples have shown acceptable to good fit for a three-factor correlated model (or a second-order hierarchical model representing overall Environmental Preference):<\/p>\n The Environment Preference Assessment is a self-administered, paper-and-pencil or digital psychometric scale designed for adult and adolescent respondents.<\/p>\n The Environment Preference Assessment was formulated and published in 1995<\/strong> by Virginia P. Richmond and James C. McCroskey. In accordance with the open-access scholarly ethos established by Dr. James C. McCroskey and maintained by the McCroskey academic trust, the instrument is placed in the public domain for scholarly research, instructional, and clinical assessment purposes.<\/p>\n No licensing fees or formal commercial permissions are required for non-commercial educational, academic, or thesis research, provided that appropriate bibliographic citation is accorded to the original authors. The instrument and scoring guidelines are archived freely for academic usage at James C. McCroskey’s Official Measurement Archive<\/a>. Commercial developers, corporate workspace consultants, or proprietary software platforms wishing to monetize the scale or integrate it into commercial diagnostic suites should consult the copyright holders or current estate representatives of the original publication (Allyn & Bacon \/ Pearson Education).<\/p>\n Hall, E. T. (1966). The hidden dimension<\/em>. Anchor Books.<\/p>\n Kaplan, R., & Kaplan, S. (1989). The experience of nature: A psychological perspective<\/em>. Cambridge University Press.<\/p>\n Knapp, M. L., Hall, J. A., & Horgan, T. G. (2013). Nonverbal communication in human interaction<\/em> (8th ed.). Wadsworth Cengage Learning.<\/p>\n McCroskey, J. C. (2006). An introduction to rhetorical communication: A Western rhetorical perspective<\/em> (9th ed.). Allyn & Bacon.<\/p>\n Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology<\/em>. MIT Press.<\/p>\nKeywords<\/h2>\n
Authors<\/h2>\n
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Purpose<\/h2>\n
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Psychological Construct<\/h2>\n
1. Architectural Style and Spatial Enclosure Preference<\/h3>\n
2. Photopic and Sensory Illumination Responsiveness<\/h3>\n
3. Environmental Aesthetic Vulnerability vs. Task Resilience<\/h3>\n
Theoretical Framework<\/h2>\n
Nonverbal Environmental Communication<\/h3>\n
The Mehrabian-Russell Environmental Impact Model<\/h3>\n
Attention Restoration Theory (ART) and Psychoevolutionary Theory<\/h3>\n
Validity<\/h2>\n
Construct and Factorial Validity<\/h3>\n
Convergent and Discriminant Validity<\/h3>\n
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Predictive and Ecological Validity<\/h3>\n
Reliability<\/h2>\n
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Factor Analysis<\/h2>\n
Factor Loadings Structure<\/h3>\n
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Confirmatory Factor Analysis (CFA) Fit Indices<\/h3>\n
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Instrument \/ Measurement Tool<\/h2>\n
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Sum(Items 3, 5, 6, 10, 13, 14, 16)<\/code>.<\/li>\nSum(Items 1, 2, 4, 7, 8, 9, 11, 12, 15)<\/code>.<\/li>\n
\n EPA = 42 + (Total from Step 1) - (Total from Step 2)<\/code><\/li>\n<\/ul>\n<\/li>\n\n
Permissions & Fee and Test Year<\/h2>\n
References<\/h2>\n