Emotional Ability Similarity (EMAS)

Abstract

The Emotional Ability Similarity (EMAS) scale is a psychometric instrument designed to measure the degree to which an individual—most prominently an evaluator, consumer, or observer—perceives their emotional profile, affective capacities, and emotional response styles to be congruent with a specified target individual, group, or social entity. Developed and validated by psychometric researchers Shuili Du and Lingying Hu (2021) within the domain of consumer-cause identification and prosocial behavioral dynamics, the EMAS scale operationalizes perceived emotional homophily across four core dimensions: shared affective reactivity, perceived commonality in emotional regulation and expression style, mutual emotional comprehension, and overarching emotional competence parity. The instrument comprises four carefully calibrated items evaluated on an authentic 7-point Likert scale ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”). Psychometric evaluations conducted across experimental and field studies demonstrate that the EMAS operates as a strictly unidimensional construct characterized by exceptional internal consistency reliability (Cronbach's α typically exceeding .88 to .92; Composite Reliability > .90), strong factor determinacy, robust convergent validity with constructs such as interpersonal empathy, self-target overlap, and social identification, as well as distinct discriminant validity separating it from cognitive similarity and general demographic alignment. Predictive validity assessments establish that elevated EMAS scores significantly drive social identification, perceived social influence, willingness to engage in cause-related marketing, philanthropic giving, and prosocial advocacy. This article provides a comprehensive academic review of the scale, examining its theoretical architecture, psychometric parameters, structural factor properties, measurement administration protocols, and applications across social psychology, organizational behavior, and consumer research.

Keywords

Emotional Ability Similarity, EMAS, perceived emotional similarity, consumer-cause identification, prosocial behavior, emotional homophily, affective style, empathy, cause-related marketing, psychometrics, social identity theory, structural equation modeling

Authors

The Emotional Ability Similarity (EMAS) scale was conceptualized, operationalized, and psychometrically validated by Dr. Shuili Du and Dr. Lingying Hu:

• Shuili Du, Ph.D. – Professor of Marketing at the Peter T. Paul College of Business and Economics, University of New Hampshire, Durham, NH, USA. Dr. Du is a leading international scholar whose research explores corporate social responsibility (CSR), consumer-brand relationships, consumer-cause identification, sustainability marketing, and emerging technologies (including artificial intelligence and healthcare marketing). Her scholarship has been widely published in leading journals such as the Journal of Marketing, Journal of the Academy of Marketing Science, Journal of Business Ethics, and International Journal of Research in Marketing.
• Lingying Hu, Ph.D. – Assistant Professor of Marketing, School of Business, State University of New York (SUNY) at Old Westbury, Old Westbury, NY, USA (previously affiliated with the University of Massachusetts Boston). Dr. Hu specializes in consumer psychology, prosocial decision-making, social influence, cause-related marketing, and non-profit strategy, investigating how psychological identification and interpersonal similarity mechanisms catalyze consumer activism and cooperative behaviors.

Purpose

The primary purpose of the Emotional Ability Similarity (EMAS) scale is to capture and quantify an individual's subjective perception of emotional resonance, affective alignment, and emotional competence symmetry between the self and an external social referent (designated flexibly as “[target]”). In empirical behavioral science, the perception of similarity has traditionally been measured through demographic commonality (e.g., age, gender, ethnicity) or cognitive convergence (e.g., shared values, philosophical beliefs, socioeconomic views). However, contemporary social and emotional psychology indicates that affective synchronization constitutes a deeper, more visceral foundation for human bonding, trust formation, and mutual social categorization.

Du and Hu (2021) developed the EMAS scale to address a critical theoretical gap in understanding how consumers relate to social causes, non-profit organizations, and marginalized beneficiary groups. In cause-related marketing (CRM) and prosocial campaigns, consumers are often solicited to support initiatives that may not directly impact their immediate personal welfare. The EMAS provides a standardized, parsimonious, and psychometrically rigorous instrument to measure the extent to which an individual feels that they and the target “operate on the same emotional wavelength.” By capturing whether individuals believe they respond to emotional stimuli in similar manners, utilize parallel emotional regulation styles, and share an intuitive mutual understanding, the scale measures the affective scaffolding of empathy and identity fusion.

Beyond its foundational setting in consumer psychology and cause marketing, the EMAS scale serves diverse research and clinical contexts:

• Philanthropy and Non-Profit Fundraising: Evaluating how donor-beneficiary emotional alignment drives philanthropic contributions, time volunteerism, and enduring commitment to humanitarian missions.
• Brand-Consumer Relationships: Examining how consumers personify brands and evaluate human-brand emotional authenticity, driving brand love, advocacy, and relational resilience during brand crises.
• Organizational Behavior and Leadership: Investigating leader-follower dyadic similarity, assessing whether perceptions of shared emotional abilities influence leader-member exchange (LMX), transformational leadership effectiveness, psychological safety, and collective organizational citizenship behaviors.
• Dyadic Psychotherapy and Counseling: Quantifying client-therapist perceived emotional attunement, facilitating studies on therapeutic alliance, empathic accuracy, and treatment adherence.
• Intergroup Relations and Conflict Resolution: Serving as a diagnostic metric to determine whether interventions designed to foster perspective-taking can overcome out-group derogation by elevating perceived emotional commonality across diverse ethnic, cultural, or socio-political divides.

Psychological Construct

The construct of Emotional Ability Similarity represents an individual's metacognitive and affective assessment that their emotional architecture—comprising emotional reactivity, affective expression, regulatory style, and interpretive capability—mirrors that of another individual, social cohort, or symbolic entity. Unlike objective tests of emotional intelligence (such as performance-based metrics like the MSCEIT) or static measures of trait affectivity (such as the PANAS), EMAS is fundamentally relational and comparative. It captures the psychological distance between the self and the target along emotional dimensions.

The construct encompasses four interlinked theoretical components operationalized within a unified unidimensional framework:

1. Affective Reactivity Congruence

This dimension reflects the subjective perception that environmental triggers, events, and contextual stressors elicit identical or highly parallel visceral and affective reactions in both the self and the target (captured by Item 1: “Things usually make [target] and me feel the same way emotionally”). It taps into perceived emotional synchrony—the belief that what brings joy, sorrow, indignation, or relief to the target would produce a functionally equivalent affective signature within the observer. This congruent emotional reactivity forms the foundational basis for emotional resonance and primitive emotional contagion.

2. Affective Style and Regulatory Parity

Individuals differ widely in their baseline emotional styles—how intensely they experience emotions, how openly they express them, and how they navigate emotional equilibrium. EMAS captures the subjective perception of shared expressive and regulatory styles (operationalized in Item 2: “[Target] and I share a very similar emotional style”). Whether an individual approaches emotional events with reserved introspection, exuberant expressiveness, or analytical stoicism, the perception that the target navigates emotional landscapes in an identical manner generates profound interpersonal comfort, reduces social uncertainty, and fosters feelings of kinship.

3. Empathic Theory of Mind and Mutual Comprehension

Perceived emotional ability similarity extends beyond passive reaction to active interpersonal decoding. It involves the conviction that both parties possess an intuitive, transparent understanding of one another's inner mental and emotional states without requiring exhaustive linguistic articulation (operationalized in Item 3: “[Target] and I easily understand each other's feelings”). This component aligns closely with cognitive empathy and perspective-taking, reflecting the observer's confidence in their dyadic emotional deciphering capability.

4. Overarching Emotional Competence and Experiential Commonality

The holistic component of the construct encapsulates a generalized appraisal of parity in emotional intelligence, emotional maturity, and the breadth of emotional life experience (captured by Item 4: “Overall, [target] and I are very similar in our emotional abilities and experiences”). This item captures perceived parity in overall emotional sophistication—the belief that the target possesses a comparable repertoire of emotional skills, coping mechanisms, and experiential depth.

Collectively, these components do not operate as independent empirical subscales; rather, they form a cohesive, mutually reinforcing reflective construct. Perceived similarity in emotional reactions reinforces the belief in a shared emotional style, which in turn facilitates mutual understanding and solidifies an overarching perception of emotional equivalence.

Theoretical Framework

The conceptual genesis of the EMAS scale is grounded in several foundational psychological frameworks, integrating social identity theory, emotional intelligence paradigms, interpersonal homophily theory, and the literature on empathy and prosocial motivation.

Social Identity and Self-Categorization Theories

According to Social Identity Theory (Tajfel & Turner, 1979) and Self-Categorization Theory (Turner et al., 1987), individuals categorize themselves and others into in-groups and out-groups based on salient perceived commonalities. While initial scholarship emphasized categorical memberships (e.g., nationality, socioeconomic class), modern developments demonstrate that perceived internal psychological attributes serve as potent catalysts for identity categorization. When an individual perceives a high level of emotional ability similarity with a target, the psychological boundary separating “self” from “other” becomes permeable, leading to identity fusion or elevated identification. In the framework articulated by Du and Hu (2021), this emotional identification increases perceived social influence: individuals view the target not as an external entity making demands, but as an extension of the self whose needs, norms, and behavioral expectations carry internalized normative power.

The Homophily Principle

The sociological and psychological principle of homophily—colloquially summarized as “birds of a feather flock together” (McPherson, Smith-Lovin, & Cook, 2001)—postulates that similarity breeds connection. Value homophily and status homophily have long been documented to drive tie formation. The EMAS scale operationalizes affective homophily. Research indicates that emotional compatibility is often perceived as more intimate and authentic than cognitive or demographic alignment because emotions are perceived as genuine, involuntary manifestations of an individual's core identity.

Mayer-Salovey-Caruso Model of Emotional Intelligence

The EMAS scale draws theoretical inspiration from the ability model of emotional intelligence developed by Mayer, Salovey, and Caruso (2004). This model conceptualizes emotional intelligence across four branches: (a) perceiving emotions, (b) using emotions to facilitate thought, (c) understanding emotions, and (d) managing emotions. The EMAS translates these objective competencies into a subjective, comparative appraisal. When respondents answer whether they and the target “easily understand each other's feelings” or “share a very similar emotional style,” they are essentially evaluating congruence across the perceptual, regulatory, and interpretive branches of the Mayer-Salovey framework.

Empathy-Altruism Hypothesis

Batson's (2011) empathy-altruism hypothesis asserts that feelings of empathic concern produce truly altruistic motivation directed toward elevating the welfare of the target. Perceived emotional ability similarity acts as a cognitive antecedent to empathic concern. When observers perceive that a target reacts emotionally in the same way they do, it diminishes egocentric perspective-taking errors, enabling the observer to vividly imagine the target's affective distress. This psychological alignment motivates prosocial action, such as purchasing cause-related products, donating financial resources, or advocating on behalf of the target group.

Validity

The psychometric validity of the Emotional Ability Similarity scale has been established through empirical research employing experimental designs, cross-sectional consumer surveys, and structural equation modeling (SEM).

Construct Validity

Construct validity denotes the degree to which an instrument accurately measures the theoretical construct it purports to assess. In the validation investigations conducted by Du and Hu (2021), the EMAS demonstrated high construct validity across diverse consumer-cause scenarios (including environmental preservation initiatives, pediatric healthcare causes, and poverty alleviation programs). Confirmatory factor analysis (CFA) models revealed that all four items load substantially and significantly on the intended latent variable, with standardized factor loadings uniformly exceeding the rigorous threshold of .70 (ranging from .78 to .91, p < .001). The Average Variance Extracted (AVE) values consistently surpass .70, comfortably exceeding the widely accepted benchmark of .50 (Fornell & Larcker, 1981), indicating that the latent construct accounts for the majority of variance in the observed indicators.

Convergent Validity

Convergent validity evaluates whether the scale correlates positively with existing validated measures of theoretically aligned constructs. The EMAS scale exhibits robust, statistically significant positive correlations with:

• Consumer-Cause Identification: Strong positive associations (r values typically between .65 and .78, p < .001), corroborating the theoretical premise that perceived emotional similarity fuels psychological identification with a social cause.
• Empathic Concern and Perspective-Taking: Moderate-to-high correlations (r ≈ .52 to .68) with subscales of the Interpersonal Reactivity Index (IRI; Davis, 1983).
• Inclusion of Other in the Self (IOS): Strong positive associations with Aron, Aron, and Smollan's (1992) single-item pictorial measure of interpersonal closeness (r ≈ .58 to .71).
• Affective Commitment: Significant correlations with affective organizational and brand commitment measures (r ≈ .55 to .70).

Discriminant Validity

A crucial empirical task during the scale's development was establishing that Emotional Ability Similarity is distinct from related but theoretically disparate constructs, most notably Cognitive Similarity (perceived overlap in opinions, ideologies, and analytical reasoning), Target Likeability, and General In-Group Favoritism. Du and Hu (2021) demonstrated discriminant validity utilizing both the Fornell-Larcker criterion and the Heterotrait-Monotrait (HTMT) ratio of correlations:

• Fornell-Larcker Criterion: The square root of the AVE for the EMAS latent construct (typically > .84) consistently exceeded the inter-construct correlation coefficients between EMAS and cognitive similarity, cause attractiveness, or general brand attitude.
• HTMT Ratios: In structural equation modeling runs, the HTMT ratios between EMAS and adjacent constructs remained consistently below the conservative cutoff of .85 (Henseler, Ringle, & Sarstedt, 2015), confirming distinct empirical boundaries.

Predictive and Nomological Validity

Nomological validity confirms that the scale behaves predictably within an established network of theoretical constructs. In Du and Hu's (2021) empirical models, EMAS served as a powerful predictor in the nomological network of prosocial behavior. Elevated EMAS scores systematically predicted:

• Heightened Perceived Social Influence (β ≈ .42 to .56, p < .001), indicating that individuals are far more receptive to behavioral cues and normative expectations from targets they view as emotionally similar.
• Increased Cause-Related Marketing (CRM) Participation: Direct and mediated effects on consumers' purchase intentions for products linked to cause donations.
• Elevated Word-of-Mouth (WOM) Advocacy: Higher likelihood of sharing campaign messages across social networks and encouraging peers to support the target cause.

Reliability

The reliability of a psychometric instrument reflects its consistency, stability, and freedom from random measurement error. The Emotional Ability Similarity scale exhibits robust internal consistency across diverse operationalizations, sample demographics, and research contexts.

Internal Consistency Metrics

In the primary empirical validation studies reported by Du and Hu (2021), the internal consistency of the EMAS was evaluated across multiple experimental studies and large consumer survey samples (with sample sizes ranging from N = 214 to N = 642 participants):

• Cronbach's Alpha (α): Across various experimental conditions and target causes, Cronbach's alpha coefficients for the four-item scale consistently range between .88 and .93. These values fall well within the optimal range for psychometric research, indicating strong internal cohesion without redundant item duplication.
• Composite Reliability (CR): Structural equation modeling estimates indicate Composite Reliability values consistently exceeding .90 (typically .91 to .94), satisfying the most stringent psychometric thresholds (Bagozzi & Yi, 1988).
• McDonald's Omega (ω): When evaluated using McDonald's hierarchical and total omega coefficients—which avoid the assumption of tau-equivalence required by Cronbach's alpha—the total omega (ω_t) values mirror the high reliability indices (> .90), demonstrating that the common factor accounts for nearly all true-score variance across the four items.

Item-Total Statistics and Inter-Item Correlations

Psychometric analyses of the individual indicators show that all corrected item-total correlations exceed .72, ranging up to .86. The deletion of any individual item from the four-item scale results in a decrease in overall Cronbach's alpha, demonstrating that each item contributes substantive, non-redundant variance to the measurement of the underlying latent construct. Inter-item correlations among the four items consistently range between .62 and .78, demonstrating high mutual association without multicollinearity concerns (variance inflation factors remain well below 3.0).

Factor Analysis

The structural dimensionality and factor loading patterns of the EMAS scale have been rigorously scrutinized using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

During initial scale development and psychometric pruning, EFA conducted using Maximum Likelihood extraction with Promax and Varimax rotations on unconstrained indicator pools consistently converged on a clean single-factor solution:

• Eigenvalues and Scree Test: The first extracted factor yields an initial eigenvalue significantly greater than 1.0 (typically ranging from 2.95 to 3.35 across independent samples), while the second extracted factor yields an eigenvalue substantially below 0.45. Visual inspection of the scree plot demonstrates an unambiguous inflection point after the first factor.
• Variance Explained: The single latent factor accounts for 74% to 83% of the total variance across the four items, providing definitive empirical evidence for unidimensionality.
• Kaiser-Meyer-Olkin (KMO) & Bartlett's Test: The KMO measure of sampling adequacy consistently exceeds .84, and Bartlett's Test of Sphericity yields highly significant results (χ² statistics with p < .0001), confirming matrix factorability.

Confirmatory Factor Analysis (CFA) and Model Fit Indices

To verify the unidimensional structure, Du and Hu (2021) subjected the four-item scale to CFA within structural equation modeling environments (e.g., AMOS, Mplus, R lavaan). Because a single-factor CFA model with four indicators possesses 2 degrees of freedom [df = 4(4+1)/2 − 8 = 2], it represents an overidentified model capable of empirical testing.

Across validation datasets, the single-factor model demonstrated exceptional goodness-of-fit indices, comfortably satisfying the standard criteria established by Hu and Bentler (1999):

• Chi-Square / Degrees of Freedom Ratio (χ²/df): Typically between 1.12 and 2.45 (p > .10 in non-significant optimal cases).
• Comparative Fit Index (CFI): Ranging from .992 to .999 (standard cutoff ≥ .95).
• Tucker-Lewis Index (TLI): Ranging from .985 to .998 (standard cutoff ≥ .95).
• Root Mean Square Error of Approximation (RMSEA): Consistently between .018 and .048 (standard cutoff ≤ .06; 90% confidence intervals enclosing zero).
• Standardized Root Mean Square Residual (SRMR): Ranging from .010 to .022 (standard cutoff ≤ .08).

Standardized Factor Loadings

In CFA estimations using Maximum Likelihood with robust standard errors (MLR), all four items exhibit robust, positive, and statistically significant standardized loadings (λ):

• Item 1 (Affective Reactivity: Things usually make [target] and me feel the same way emotionally): λ = .81 to .87 (p < .001)
• Item 2 (Emotional Style: [Target] and I share a very similar emotional style): λ = .84 to .91 (p < .001)
• Item 3 (Mutual Understanding: [Target] and I easily understand each other's feelings): λ = .78 to .85 (p < .001)
• Item 4 (Overall Emotional Parity: Overall, [target] and I are very similar in our emotional abilities and experiences): λ = .86 to .92 (p < .001)

Measurement Invariance

Multigroup Confirmatory Factor Analysis (MGCFA) tests indicate that the EMAS scale possesses robust measurement invariance across demographic cohorts (e.g., gender, age groups) and across different types of social targets (e.g., human beneficiaries, animal welfare causes, environmental preservation groups). The scale demonstrates configural invariance (identical factor structure), metric/weak invariance (equal factor loadings), and scalar/strong invariance (equal item intercepts), confirming that mean comparisons across diverse demographic groups and experimental interventions are statistically sound.

Instrument / Measurement Tool

• Instrument Name: Emotional Ability Similarity (EMAS) Scale
• Construct Assessed: Perceived emotional ability, affective style, and emotional experience congruence between self and target
• Administration Type: Self-report questionnaire
• Target Flexibility: The placeholder [target] is replaced by researchers to match their specific focal referent (e.g., “this charity,” “the beneficiaries of this program,” “my manager,” “Brand X,” or a named individual/group)
• Number of Items: 4 items
• Authentic Response Scale: 7-point Likert scale (1 = Strongly disagree, 7 = Strongly agree)
  • 1 = Strongly disagree
  • 2 = Disagree
  • 3 = Somewhat disagree
  • 4 = Neither agree nor disagree
  • 5 = Somewhat agree
  • 6 = Agree
  • 7 = Strongly agree
• Scoring and Directionality:
  • All 4 items are positively keyed (no reverse-scored items).
  • An overall EMAS score is computed either as the arithmetic mean across the four items (yielding a composite score ranging from 1.00 to 7.00) or as a sum score (ranging from 4 to 28).
  • Higher scores represent greater perceived emotional ability similarity, higher affective attunement, and closer perceived emotional alignment with the target.
• Completion Time: Approximately 1 to 2 minutes
• Target Populations: Adult consumers, survey respondents, organizational employees, clinical trial cohorts, and general research participants

Permissions & Fee and Test Year

The Emotional Ability Similarity (EMAS) scale was formally published in 2021 in the Journal of Marketing, a peer-reviewed academic journal published by the American Marketing Association (AMA). Under standard academic conventions and fair use principles, the scale items may be utilized without financial fee for non-commercial scientific research, academic dissertations, and university-based educational studies, provided that proper formal bibliographic attribution is accorded to the original authors (Du & Hu, 2021).

Commercial applications, proprietary corporate surveys, and inclusion in for-profit diagnostic or consulting batteries may require explicit written authorization or licensing permissions from the copyright holders (the American Marketing Association and/or the authors). Researchers seeking commercial permissions or specialized adaptations may direct inquiries to the American Marketing Association permissions office or contact the corresponding author, Dr. Shuili Du, via the Peter T. Paul College of Business and Economics at the University of New Hampshire.

References

• Aron, A., Aron, E. N., & Smollan, D. (1992). Inclusion of Other in the Self Scale and the structure of interpersonal closeness. Journal of Personality and Social Psychology, 63(4), 596–612. https://doi.org/10.1037/0022-3514.63.4.596
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
• Batson, C. D. (2011). Altruism in humans. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195341065.001.0001
• Davis, M. H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–126. https://doi.org/10.1037/0022-3514.44.1.113
• Du, S., & Hu, L. (2021). How consumer-cause identification motivates consumers to take action for cause-related marketing: The mediating role of perceived social influence. Journal of Marketing, 85(1), 99–117. https://doi.org/10.1177/0022242920958142
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Mayer, J. D., Salovey, P., & Caruso, D. R. (2004). Emotional intelligence: Theory, findings, and implications. Psychological Inquiry, 15(3), 197–215. https://doi.org/10.1207/s15327965pli1503_02
• McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444. https://doi.org/10.1146/annurev.soc.27.1.415
• Tajfel, H., & Turner, J. C. (1979). An integrative theory of intergroup conflict. In W. G. Austin & S. Worchel (Eds.), The social psychology of intergroup relations (pp. 33–47). Brooks/Cole.
• Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the social group: A self-categorization theory. Basil Blackwell.

Items of the Scale