Abstract
The Need for Emotion (NFE) scale is a widely recognized psychometric instrument designed to assess individual differences in the motivation to seek out, experience, and enjoy emotional stimuli and affective states. Rooted in differential psychology and consumer behavior research, the construct mirrors the conceptual architecture of the Need for Cognition, serving as its affective counterpart within dual-process frameworks. The operationalization refined by Kidwell, Hardesty, and Childers (2008)—building upon foundational formulations by Raman, Chattopadhyay, and Hoyer (1995) as well as Maio and Esses (2001)—evaluates an individual’s chronic tendency to approach or avoid emotionally charged situations, engage with affective media, and incorporate emotional inputs into cognitive appraisals and behavioral decisions. The standardized short-form scale comprises 12 items measured on a 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”). Psychometrically, the instrument exhibits robust internal consistency (Cronbach’s α typically ranging between .82 and .89), solid test-retest reliability, and well-established structural validity across both unipolar and two-factor (Emotion Seeking vs. Emotion Avoidance) configurations. The NFE scale exhibits robust convergent validity with constructs such as sensation seeking, affective orientation, and narrative transportation, while retaining sharp discriminant validity from general intelligence, trait anxiety, and cognitive processing dispositions. As an assessment tool, it provides critical empirical utility in consumer psychology, media research, communication studies, and affective behavioral science.
Keywords
Need for Emotion, NFE, Affective Orientation, Emotion Seeking, Emotion Avoidance, Consumer Emotional Intelligence, Individual Differences, Dual-Process Theory, Affective Motivation, Psychometrics
Authors
The conceptual development, psychometric refinement, and consumer-domain operationalization of the Need for Emotion scale have been spearheaded by several prominent researchers in behavioral science and consumer psychology:
- Blair Kidwell, Ph.D. — Professor of Marketing, G. Brint Ryan College of Business, University of North Texas. Specialized in consumer emotional intelligence, affective decision-making, and behavioral economics.
- David M. Hardesty, Ph.D. — Thomas C. Simons Professor of Marketing and Department Chair, Gatton College of Business and Economics, University of Kentucky. Renowned for work on pricing cognition, knowledge calibration, and consumer affect.
- Terry L. Childers, Ph.D. — Emeritus Professor of Marketing, Ivy College of Business, Iowa State University. Renowned for foundational investigations into consumer information processing, sensory marketing, and individual differences in cognitive and affective processing styles.
Foundational antecedents of the construct were independently investigated by Pushkar Raman, Amitava Chattopadhyay, and Wayne D. Hoyer (1995), as well as Gregory R. Maio and Victoria M. Esses (2001), whose early structural work laid the groundwork for contemporary multidimensional and unidimensional adaptations used in applied behavioral research.
Purpose
The primary purpose of the Need for Emotion (NFE) scale is to measure an individual’s intrinsic motivation to experience, pursue, and value emotional states. While mainstream cognitive psychology long treated emotion primarily as an episodic interruption or disruptive bias in rational choice, modern affective science demonstrates that individuals exhibit stable, dispositional variations in how much they actively desire emotional arousal. Some individuals deliberately seek out emotionally potent experiences—such as tragic cinema, heart-wrenching literature, intense interpersonal dialogues, or high-arousal social settings—even when those experiences induce negative affect such as sadness or fear. Conversely, others actively structure their cognitive and physical environments to preserve emotional equilibrium and avoid affective volatility.
In applied research, the NFE scale addresses several critical objectives:
- Prediction of Consumer Decision-Making: As demonstrated by Kidwell et al. (2008), consumer emotional intelligence interacts systematically with NFE. Consumers high in NFE are more receptive to emotional branding, narrative advertising, and experiential retail environments, relying more heavily on affective heuristics when making choices.
- Media Consumption and Narrative Transportation: The instrument explains why certain audiences exhibit strong preferences for dramatic, evocative, or suspenseful media genres. High-NFE individuals report greater absorption, empathy, and emotional catharsis when processing fictional or real-world narratives.
- Health and Risk Communication: Public health messaging often utilizes graphic or emotionally charged appeals (e.g., anti-smoking imagery, charitable fundraising appeals). The NFE scale allows researchers to segment audiences based on whether emotional framing will foster adaptive behavioral compliance or trigger defensive psychological avoidance.
- Clinical and Counseling Assessment: In psychological counseling, the instrument offers insight into affective regulation styles, clarifying whether an individual’s flattened emotional presentation stems from an authentic low need for emotion, experiential avoidance, or affective blunting.
Psychological Construct
The psychological construct evaluated by the Need for Emotion scale is defined as a general, stable disposition reflecting the tendency to enjoy and seek out emotional stimuli, to desire feeling emotions deeply, and to integrate emotional experiences into one’s daily life. Conceptually, NFE functions within the domain of affective traits rather than temporary emotional states, exhibiting temporal stability across adult life stages.
Core Dimensions and Behavioral Manifestations
Although frequently operationalized as a global composite score, psychometric modeling reveals two complementary latent dimensions that underpin the construct:
- Emotion Seeking (Approach Orientation): This facet reflects an active, appetitive orientation toward affective arousal. Individuals high in this dimension perceive emotional experiences as inherently enriching, vitalizing, and desirable. They endorse statements indicating a desire to feel things deeply, an inclination to seek out emotionally demanding situations, and a belief that emotional engagement is central to a meaningful life. Crucially, this dimension encompasses valence transcendence: high scorers report enjoying emotional experiences even when the subjective valence is negative (e.g., experiencing melancholy through art or suspense through storytelling).
- Emotion Avoidance (Dispreference for Affective Turmoil): This facet captures the regulatory motivation to preserve emotional homeostasis, composure, and affective tranquility. Individuals scoring high on avoidance view intense emotions as destabilizing, uncomfortable, or cognitively disruptive. They systematically favor calm, controlled environments, actively suppress or regulate internal affective fluctuations, and report feeling uneasy when exposed to intense emotional displays.
When scored as a unipolar construct, the reverse-scored avoidance items are combined with the seeking items, positioning respondents along a continuum from low NFE (emotion-avoidant, preference for affective detachment) to high NFE (emotion-approaching, high affective investment). The construct is distinct from emotional reactivity; it does not measure how intensely one physiologically reacts to an unexpected shock, but rather how much one desires and values the presence of emotional experiences in one’s life.
Theoretical Framework
The development of the Need for Emotion scale is grounded in several major psychological traditions, integrating dual-process theory, sensation-seeking paradigms, and cognitive-experiential self-theories.
Cognitive-Experiential Self-Theory (CEST)
Seymour Epstein’s Cognitive-Experiential Self-Theory posits that individuals process information through two parallel, interacting systems: the rational-analytical system and the experiential-affective system. The rational system is deliberative, logical, and affect-free, whereas the experiential system is holistic, intuitive, and intimately tied to affective cues. Just as the Need for Cognition (Cacioppo & Petty, 1982) operationalizes an individual’s dispositional motivation to engage the analytical system, the Need for Emotion operationalizes the intrinsic drive to engage and validate the experiential-affective system.
Affect-as-Information and Valuation Theory
According to the affect-as-information framework (Schwarz & Clore, 1983), individuals rely on internal affective feelings as diagnostic heuristic data when formulating judgments. The NFE scale extends this framework by asserting that individuals differ systematically in the intrinsic value they assign to affective feedback. For a high-NFE individual, feelings are not merely incidental signals; they are prized experiential goals that confer intrinsic utility and guide moral, aesthetic, and interpersonal evaluations.
Approach-Avoidance Motivation
The structural separation of emotion seeking and emotion avoidance aligns with foundational motivational frameworks, such as Jeffrey Gray’s Reinforcement Sensitivity Theory (Behavioral Activation System [BAS] vs. Behavioral Inhibition System [BIS]). Emotion seeking corresponds to affective appetitive drive, whereas emotion avoidance reflects inhibitory mechanisms designed to mitigate psychological vulnerability, emotional fatigue, or cognitive disorientation.
Validity
The psychometric validity of the Need for Emotion scale has been extensively verified across laboratory, field, and cross-cultural investigations.
Construct and Factorial Validity
Construct validity has been corroborated through rigorous confirmatory factor analyses. In studies evaluating consumer emotional intelligence and choice behaviors (Kidwell et al., 2008), the 12-item specification demonstrated excellent structural fit. Latent factors for emotion seeking and emotion avoidance loaded significantly onto their designated indicators, confirming that the scale accurately maps the theoretical domain without structural contamination.
Convergent Validity
The NFE scale demonstrates robust positive correlations with related affective and personality measures:
- Affective Orientation: Demonstrates substantial positive correlation (r ≈ .50 to .65) with Booth-Butterfield and Booth-Butterfield’s Affect Orientation scale, verifying that individuals who desire emotion are also keenly aware of their feelings.
- Empathy and Emotional Contagion: Significant positive associations with interpersonal empathy (Davis’s Interpersonal Reactivity Index) and susceptibility to emotional contagion (r ≈ .38 to .48).
- Openness to Experience: Correlates moderately with the Openness to Feelings facet of the NEO-PI-R (r ≈ .42 to .55), supporting the premise that NFE captures aesthetic and emotional receptivity.
Discriminant Validity
Crucially, empirical research demonstrates that the Need for Emotion is conceptually independent of neighboring constructs:
- Need for Cognition (NFC): Meta-analytic and empirical investigations reveal near-zero or weak, non-significant correlations with NFC (typically ranging between r = -.08 and r = .12). This orthogonality confirms that an individual’s desire for emotional depth operates independently of their propensity for analytical problem-solving.
- Neuroticism / Trait Anxiety: Although high-NFE individuals tolerate negative emotions, NFE does not correlate substantially with chronic neuroticism or generalized negative affectivity (r < .15), establishing that seeking emotion is an appetitive motivational process rather than a manifestation of psychological distress.
- Social Desirability: Correlations with the Marlowe-Crowne Social Desirability Scale remain negligible (r < .10), indicating that responses are free from self-presentation bias.
Predictive and Criterion Validity
The scale effectively predicts behavioral criteria in controlled experiments. High-NFE participants exposed to emotionally framed health campaigns exhibit greater attitude change, higher behavioral intention, and stronger recall of affective arguments compared to low-NFE participants. In consumer research, high NFE significantly predicts brand loyalty toward emotionally communicative brands and mediates the relationship between objective emotional intelligence ability and optimal market decision-making (Kidwell et al., 2008).
Reliability
The reliability of the Need for Emotion scale has been repeatedly confirmed across diverse empirical samples, demonstrating high internal consistency and temporal stability.
Internal Consistency
Across validation studies in consumer psychology and social psychology, the 12-item NFE scale exhibits robust Cronbach’s alpha coefficients:
- Overall Scale Composite: Coefficients typically range from α = .82 to α = .89 across university student pools and adult consumer panels.
- Subscale Reliabilities: When computed separately, the Emotion Seeking subscale yields alpha values between .80 and .86, while the reverse-scored Emotion Avoidance subscale yields values between .78 and .84.
- Composite Reliability (CR) & McDonald’s Omega: In structural equation modeling contexts, composite reliability indices routinely surpass the standard .70 benchmark, frequently ranging between .84 and .88, demonstrating that the indicators share high common variance.
Test-Retest Stability
Evaluations of temporal stability conducted across test-retest intervals ranging from three to eight weeks yield stability coefficients between r = .74 and r = .83. These figures indicate that while emotional states vary dynamically, the underlying need for emotion functions as an enduring, trait-like psychological disposition.
Factor Analysis
Psychometric evaluations employing both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) have established the structural properties of the 12-item instrument.
Exploratory Factor Analysis
Early principal component and common factor analyses with oblique rotations (e.g., Promax or Oblimin) consistently extract two prominent eigenvalues greater than 1.0, accounting for approximately 52% to 62% of the total variance:
- Factor 1: Emotion Seeking / Approach: Comprising positively keyed items (Items 1, 3, 5, 7, 9, 11), with primary factor loadings ranging from .62 to .81, and negligible cross-loadings (< .20) on the avoidance factor.
- Factor 2: Emotion Avoidance / Control: Comprising the reverse-keyed items (Items 2, 4, 6, 8, 10, 12), with factor loadings ranging from .58 to .79.
Confirmatory Factor Analysis & Model Fit
Structural equation modeling studies assessing the construct against empirical data have tested both a single-factor unipolar model and a two-factor correlated model. Representative fit indices reported in the literature (Kidwell et al., 2008) demonstrate solid parameter values:
- Comparative Fit Index (CFI): .93 to .97, indicating robust fit against baseline null models.
- Tucker-Lewis Index (TLI): .92 to .96.
- Root Mean Square Error of Approximation (RMSEA): .045 to .062 (with 90% confidence intervals well below the .08 threshold).
- Standardized Root Mean Square Residual (SRMR): .038 to .051.
While the two-factor correlated model typically provides a marginally superior statistical fit due to the linguistic valence grouping of direct versus reversed wording, a higher-order general factor or unidimensional composite score remains conceptually and practically valid for applied predictive modeling.
Instrument / Measurement Tool
The standardized instrument details are summarized below:
- Instrument Name: Need for Emotion (NFE) Scale
- Construct Assessed: Individual differences in the motivation to seek out, experience, and enjoy emotional stimuli and affective engagement
- Number of Items: 12 items
- Format: Self-report psychometric questionnaire
- Response Scale: 7-point Likert scale (1 = Strongly Disagree, 2 = Disagree, 3 = Somewhat Disagree, 4 = Neither Agree nor Disagree, 5 = Somewhat Agree, 6 = Agree, 7 = Strongly Agree)
- Administration Time: Approximately 3 to 5 minutes
- Target Population: Adolescents and adults (general and clinical research populations, consumer panels)
- Scoring Procedure:
- Reverse Scoring: Items 2, 4, 6, 8, 10, and 12 must be reverse-scored prior to calculating composite values (i.e., 1 → 7, 2 → 6, 3 → 5, 4 → 4, 5 → 3, 6 → 2, 7 → 1).
- Unidimensional Composite Score: Sum or average all 12 items (after reversing). Higher total scores reflect a higher overall need for emotion.
- Subscale Scoring (Optional):
- Emotion Seeking: Mean or sum of items 1, 3, 5, 7, 9, and 11.
- Emotion Avoidance: Mean or sum of items 2, 4, 6, 8, 10, and 12 (scored directly to represent avoidance intensity, or reversed to reflect emotional approach).
Permissions & Fee and Test Year
The operationalization of the Need for Emotion scale referenced herein was published in 2008 by Blair Kidwell, David M. Hardesty, and Terry L. Childers within the Journal of Consumer Research (Volume 35, Issue 1, pp. 154–166), building upon foundational measurement work by Raman, Chattopadhyay, and Hoyer (1995) and Maio and Esses (2001).
Licensing and Accessibility: The scale is considered open for non-commercial academic, scientific, and educational research purposes under fair use doctrine, provided that appropriate scholarly attribution and formal bibliographic citation are accorded to the original authors and the publishing journal. Commercial use, inclusion in proprietary diagnostic testing software, or large-scale commercial market segmentation platforms may require licensing permissions from the copyright holders (Oxford University Press / Journal of Consumer Research, Inc.). Researchers are advised to consult the published literature or contact the corresponding authors for commercial deployment.
References
- Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116–131. https://doi.org/10.1037/0022-3514.42.1.116
- Epstein, S. (1994). Integration of the cognitive and the psychodynamic unconscious. American Psychologist, 49(8), 709–724. https://doi.org/10.1037/0003-066X.49.8.709
- Kidwell, B., Hardesty, D. M., & Childers, T. L. (2008). Consumer emotional intelligence: Conceptualization, measurement, and the prediction of consumer decision making. Journal of Consumer Research, 35(1), 154–166. https://doi.org/10.1086/588636
- Maio, G. R., & Esses, V. M. (2001). The need for affect: Individual differences in the motivation to approach or avoid emotions. Journal of Personality, 69(4), 583–614. https://doi.org/10.1111/1467-6494.694156
- Raman, P., Chattopadhyay, A., & Hoyer, W. D. (1995). Need for emotion: Scale development and validation. In F. R. Kardes & M. Sujan (Eds.), NA – Advances in Consumer Research Volume 22 (pp. 437–438). Association for Consumer Research.
- Schwarz, N., & Clore, G. L. (1983). Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. Journal of Personality and Social Psychology, 45(3), 513–523. https://doi.org/10.1037/0022-3514.45.3.513
Items of the Scale
Instructions: Please indicate the extent to which you agree or disagree with each of the following statements using the scale provided below.
Response Format: 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree)
- I feel that I need to experience strong emotions regularly.
- I prefer to keep my feelings under control.
- I like to experience situations that bring out strong emotions in me.
- I try to avoid situations that make me feel emotional.
- Experiencing strong emotions is an important part of my life.
- I do not like to experience strong emotions.
- I enjoy experiencing emotions, even if they are negative.
- I would rather be calm than emotional.
- It is important for me to be in touch with my feelings.
- Strong emotions make me uncomfortable.
- I like to feel things deeply.
- I prefer situations where my emotions are not stirred up.