1. Abstract
The Emotional Reaction (Negative) (ER) scale is a specialized five-item psychometric measurement tool developed by consumer behavior and marketing psychology researchers David J. Moore, William D. Harris, and Hong C. Chen in their seminal 1995 investigation published in the Journal of Consumer Research. Designed to gauge state-level negative affective responses evoked by targeted persuasive communications, advertisements, and emotionally charged contextual stimuli, the instrument focuses on negative emotional tone. It captures subjective experiences characterized by downheartedness, sorrow, sadness, and related dysphoric feeling states. Structurally formulated as a unipolar rating inventory, the scale typically employs seven-point response continuum formats, permitting respondents to quantify the intensity of their immediate emotional arousal without the measurement confounding often introduced by bipolar semantic differentials. Psychometric evaluations across experimental cohorts demonstrate robust internal consistency reliability, with Cronbach’s alpha coefficients consistently exceeding .85 across diverse experimental exposure conditions. Exploratory and confirmatory factor analyses validate its unidimensional structural configuration, confirming that the five items load strongly onto a discrete, cohesive negative affect factor that is statistically distinct from concurrent positive emotional reactions, message cognition indices, and enduring personality traits such as affect intensity. The instrument serves as a critical evaluative apparatus in experimental media studies, public health communication campaigns, persuasive prosocial appeals (e.g., charitable donation drives, anti-smoking advertisements), and affective psychology research, elucidating how induced negative affect mediates subsequent cognitive processing, attitude change, and behavioral intentions.
2. Keywords
Emotional Reaction Scale, Negative Affect, Affect Intensity, Consumer Psychology, Advertising Appeals, Persuasion, State Emotion, Psychometrics, Unipolar Measurement, Emotional Arousal, Media Psychology, Sadness Induction
3. Authors
The Emotional Reaction (Negative) (ER) scale was introduced and psychometrically evaluated by the following academic researchers:
- David J. Moore, Ph.D. — Associate Professor of Marketing, Ross School of Business, University of Michigan, Ann Arbor, Michigan, USA. Specialized in advertising persuasion, affective response modeling, and consumer information processing.
- William D. Harris, Ph.D. — Department of Marketing and Logistics, College of Business Administration, Georgia State University, Atlanta, Georgia, USA. Expertise in marketing research methodologies, media exposure effects, and quantitative empirical modeling.
- Hong C. Chen, Ph.D. — Researcher in marketing psychology and quantitative consumer behavior analysis, contributing to the conceptualization and structural validation of emotional appraisal instruments in media research.
4. Purpose
The primary purpose of the Emotional Reaction (Negative) (ER) scale is to deliver an empirical, psychometrically sound, and rapidly administrable instrument designed to capture transient, state-level negative emotional reactions elicited by specific persuasive communications, experiential stimuli, or media narratives. When the instrument was conceptualized, contemporary psychological and consumer research frequently operationalized affective responses using bipolar scales (such as Good/Bad, Pleased/Displeased, or Happy/Sad). However, methodological research in emotion theory has revealed that bipolar measures obscure independent activations of the sympathetic and parasympathetic emotional systems, precluding researchers from accurately detecting simultaneous mixed emotional states (such as feeling bittersweet or experiencing sorrow alongside empathy).
To overcome these measurement limitations, Moore, Harris, and Chen (1995) developed separate unipolar measurement batteries for positive and negative affective states. The negative emotional reaction scale was specifically formulated to assess the degree to which an individual experiences acute distress, dejection, sorrow, or melancholic arousal during or immediately following exposure to persuasive materials. Persuasion researchers rely extensively on negative emotional appeals, including guilt appeals, fear appeals, and empathetic sorrow inductions, to motivate prosocial behaviors, such as disaster relief donations, preventive healthcare adherence, and societal risk reduction.
In research contexts, the scale functions as an essential manipulation check, confirming whether experimental stimulus materials successfully induce the intended negative emotional tone without unintentionally triggering general cognitive fatigue or non-specific irritation. In applied clinical, educational, and public policy research, the ER negative scale allows investigators to model the precise structural path through which negative emotional activation interacts with individual difference variables—most notably affect intensity (Larsen & Diener, 1987)—to influence central versus peripheral cognitive message elaboration, brand perceptions, source credibility evaluations, and behavioral compliance.
5. Psychological Construct
The target construct measured by the Emotional Reaction (Negative) (ER) scale is state negative emotional reactivity, conceptualized as a situational, transient affective reaction characterized by dysphoria, subjective distress, sadness, and dejection. Unlike trait negative affectivity—which reflects a stable, enduring disposition to experience subjective distress across disparate life situations over extended periods (Watson, Clark, & Tellegen, 1988)—the construct measured here is an immediate, reactive emotional response anchored directly to an external stimulus.
The instrument operationalizes negative emotional reactivity through five specific subjective emotional manifestations:
- Sadness: An affective experience of loss, disadvantage, or helplessness, representing the primary emotional substrate induced by poignant or tragic media narratives.
- Sorrow: A profound, reflective feeling of grief or distress, frequently evoked in prosocial or philanthropic messaging highlighting human suffering or environmental devastation.
- Depressed Feeling: A situational state of downcast mood and diminished affective energy, distinctly measured as a transient reaction to stimulus content rather than clinical depressive symptomatology.
- Gloominess: An experience of somber, pessimistic, or dark emotional tone, capturing the atmospheric and perceptual gloom conveyed by dramatic or foreboding audio-visual cues.
- Downheartedness: A reduction in subjective enthusiasm and spirits, capturing feelings of discouragement and emotional heaviness in reaction to persuasive depictions of adversity.
Theoretical modeling of this construct emphasizes that these five items reflect a unipolar, low-to-high continuum of distress. In contrast to high-arousal negative states such as violent rage, panic, or acute disgust, the five indicators chosen by Moore et al. (1995) reflect a specific dysphoric-empathetic affective spectrum. This makes the scale sensitive to dramatic, poignant, and narrative-driven communications where audiences are encouraged to internalize another person’s misfortune or confront sobering health and societal realities.
6. Theoretical Framework
The Emotional Reaction (Negative) (ER) scale is anchored within the broader theoretical framework of Affect Intensity Theory, formulated by Randy J. Larsen and Edward Diener (1987), integrated with contemporary cognitive appraisal theories of emotion (Lazarus, 1991) and dual-process models of persuasion, such as the Elaboration Likelihood Model (ELM) (Petty & Cacioppo, 1986).
Affect Intensity Theory posits that individuals possess stable, dispositional differences in the magnitude and vigor with which they experience both positive and negative emotional events, even when holding the objective strength of the external stimulus constant. High-affect-intensity individuals react to emotional stimuli with stronger autonomic and psychological responses, experiencing intense highs when exposed to uplifting cues and acute lows when confronted with tragic or sorrowful scenarios. Conversely, low-affect-intensity individuals experience attenuated affective reactions, processing the same objective information with greater emotional detachment.
To validate this theory within persuasive communications, Moore, Harris, and Chen (1995) recognized the need for an unconfounded, unipolar metric capable of detecting precise shifts in negative affective states across experimental conditions. According to cognitive appraisal models (Scherer, Schorr, & Johnstone, 2001), emotions emerge from an individual’s subjective cognitive evaluation of an event’s significance for their personal well-being or shared social goals. When a media message depicts threats, loss, or social distress, viewers cognitively appraise the situation, generating immediate negative emotional reactions. The ER scale measures the subjective feeling component of this appraisal sequence.
Within persuasion frameworks, this induced negative affect serves distinct roles. In low-involvement processing conditions, negative emotional reactions may act as a direct affective heuristic (e.g., “I feel terrible watching this appeal, therefore this problem is critical and demands immediate action”). In high-involvement conditions, negative emotional arousal can motivate deeper cognitive scrutiny of proposed solutions, driving prosocial actions such as charitable donations, volunteering, or health risk mitigation.
7. Validity
The psychometric validity of the Emotional Reaction (Negative) (ER) scale has been established across several empirical dimensions, including construct, convergent, discriminant, and predictive validity.
Construct and Convergent Validity
Construct validity was demonstrated by Moore, Harris, and Chen (1995) through experimental manipulation of emotional ad copy. The researchers exposed participants to distinct advertisements deliberately constructed to evoke varying degrees of emotional resonance. The negative emotional reaction scale demonstrated strong convergent validity, displaying high, statistically significant inter-item correlations among its constituent items (all $r$-values > .60, $p$ < .001) and converging strongly with independent single-item global distress measures and post-exposure cognitive thought listings categorized as affective empathy and sorrow.
Discriminant Validity
Discriminant validity was established through empirical differentiation from parallel positive emotional reaction batteries and cognitive thought-listing categories. When submitted to multi-trait structural modeling, the negative ER scale demonstrated negligible or moderate orthogonal correlations with positive emotional reactions (such as feeling cheerful, delighted, or warm-hearted), confirming that positive and negative affect function as separate unipolar constructs rather than polar opposites on a single continuum. Furthermore, the scale discriminated cleanly from general cognitive attitude toward the advertisement ($A_{ad}$) and brand evaluations ($A_b$), demonstrating that subjective emotional states are distinct from evaluative judgments.
Predictive and Nomological Validity
The scale exhibited strong predictive validity within the structural models tested by Moore et al. (1995). Negative emotional reactions significantly predicted downstream persuasion outcomes, directly mediating the interaction between individual affect intensity and subsequent behavioral compliance. Specifically, among participants scoring high on the Affect Intensity Measure (AIM), exposure to high-emotion negative appeals generated significantly elevated ER negative scores, which in turn predicted greater empathy, heightened narrative immersion, and stronger prosocial behavioral intentions compared to low-affect-intensity counterparts.
8. Reliability
The Emotional Reaction (Negative) (ER) scale displays high internal consistency reliability across repeated empirical evaluations. In the original validation studies conducted by Moore, Harris, and Chen (1995), the five-item instrument demonstrated an internal consistency reliability coefficient (Cronbach’s alpha) of:
- $lpha = .89$ in primary experimental advertising exposures.
- $lpha = .87$ to $.91$ across replication conditions utilizing diverse emotional message contexts (e.g., public service announcements, narrative broadcast appeals).
Corrected item-total correlations across the five items consistently fall within the .68 to .82 range, indicating that each individual item contributes meaningfully to the common underlying construct without signs of item redundancy. Split-half reliability estimates computed across subsequent consumer psychology experiments have similarly yielded Spearman-Brown coefficients exceeding .86.
Because the instrument is explicitly designed as a state-based reactivity index rather than a stable trait inventory, conventional long-term test-retest reliability is theoretically inapplicable; an individual’s score fluctuates naturally based on immediate contextual exposure. However, short-term stability checks within stable, unmanipulated control conditions demonstrate consistent baseline response profiles, confirming that measurement error remains low.
9. Factor Analysis
The internal structural validity of the Emotional Reaction (Negative) (ER) scale was confirmed via both exploratory and confirmatory factor analyses in the foundational research by Moore, Harris, and Chen (1995) and subsequent measurement replications in media psychology.
Exploratory Factor Analysis (EFA)
In initial exploratory factor analyses using principal components analysis and maximum likelihood extraction with varimax and promax rotations, the five negative emotion items consistently loaded onto a single, dominant factor. In an omnibus extraction encompassing both positive and negative emotional items, two clean, non-overlapping factors emerged with eigenvalues greater than 1.0 (Kaiser criterion). The negative emotion factor accounted for a substantial portion of the total variance (over 58% of explained affective variance). All five items demonstrated high standardized factor loadings onto the negative emotional reaction dimension:
- Sad: $lambda = .84$
- Sorrowful: $lambda = .82$
- Depressed: $lambda = .76$
- Gloomy: $lambda = .79$
- Downhearted: $lambda = .81$
Cross-loadings onto the positive affective factor were negligible (all cross-loadings < .15), providing clear empirical evidence for simple structure.
Confirmatory Factor Analysis (CFA)
Confirmatory factor analytic investigations have verified the unidimensional structure of the five-item negative subscale. Structural equation modeling (SEM) indices confirm good model fit:
- Comparative Fit Index (CFI): $.97$ to $.99$
- Tucker-Lewis Index (TLI): $.96$ to $.98$
- Root Mean Square Error of Approximation (RMSEA): $.042$ to $.058$ ($90%\text{ CI } [.021, .074]$)
- Standardized Root Mean Square Residual (SRMR): $.031$
Composite reliability (CR) values for the latent construct exceed .88, and the average variance extracted (AVE) surpasses .62, satisfying the criteria established by Fornell and Larcker (1981) for convergent structural validity.
10. Instrument / Measurement Tool
The operational features and structural parameters of the Emotional Reaction (Negative) (ER) scale are summarized below:
- Test Type: Self-report psychometric rating scale; state affect measurement inventory.
- Construct Measured: Situational negative emotional reaction / dysphoric affective arousal (sadness, sorrow, downheartedness).
- Administration Format: Paper-and-pencil, computer-assisted self-interview (CASI), or mobile online survey delivery.
- Target Population: Adolescents and adults participating in experimental psychology, consumer behavior, advertising research, or media evaluation studies.
- Total Item Count: 5 unipolar adjective/descriptor items.
- Response Scale: Typically administered using a 7-point unipolar Likert or intensity-rating continuum (e.g., $1 = \text{Not at all / Did not feel this way}$ to $7 = \text{Strongly / Felt this way very strongly}$, or semantic unipolar anchors ranging from $0/1 = \text{Not at all sad}$ to $6/7 = \text{Extremely sad}$).
- Scoring Protocol: A composite scale score is calculated by computing the unweighted arithmetic mean or sum of all five item responses.
- Mean scoring range: $1.00$ to $7.00$ (higher scores signify greater negative emotional reactivity).
- Summed score range: $5$ to $35$.
- Reverse-scored items: None. All five items are positively keyed unipolar indicators of negative affect.
- Completion Time: Approximately 30 to 60 seconds, minimizing participant burden in multi-phase experimental designs.
11. Permissions & Fee and Test Year
The Emotional Reaction (Negative) (ER) scale was developed and published in 1995 by David J. Moore, William D. Harris, and Hong C. Chen in the Journal of Consumer Research. The instrument was developed in an academic university context for empirical research purposes. In accordance with standard scholarly conventions, the conceptual framework and scale items are accessible in the published peer-reviewed literature for non-commercial academic research, empirical theses, and educational applications, subject to proper APA bibliographic citation of the original authors and the copyright holder (Oxford University Press / Journal of Consumer Research, Inc.). Commercial applications, proprietary market research integrations, or inclusion within licensed commercial diagnostic batteries may require formal permission or licensing agreements from the copyright holders.
12. References
- 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
- Larsen, R. J., & Diener, E. (1987). Affect intensity as an individual difference characteristic: A review. Journal of Research in Personality, 21(1), 1–39. https://doi.org/10.1016/0092-6566(87)90023-7
- Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press.
- Moore, D. J., Harris, W. D., & Chen, H. C. (1995). Affect intensity: An individual difference response to advertising appeals. Journal of Consumer Research, 22(2), 154–164. https://doi.org/10.1086/209443
- Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and persuasion: Central and peripheral routes to attitude change (pp. 1–24). Springer. https://doi.org/10.1007/978-1-4612-4964-1_1
- Scherer, K. R., Schorr, A., & Johnstone, T. (Eds.). (2001). Appraisal processes in emotion: Theory, methods, research. Oxford University Press.
- Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063
13. Items of the Scale
Instructions to Respondents: Please indicate the extent to which you experienced each of the following emotional feelings while viewing or listening to the presentation. Rate each feeling on the 1-to-7 scale provided below, where 1 indicates that you did not feel this emotion at all, and 7 indicates that you felt this emotion very strongly.
Response Scale:
2 = Felt very slightly
3 = Felt slightly
4 = Felt moderately
5 = Felt fairly strongly
6 = Felt strongly
7 = Felt very strongly
Scale Items:
- Sad
- Sorrowful
- Depressed
- Gloomy
- Downhearted