Anger and Support Scale (AAS)

1. Abstract

The Anger and Support Scale (AAS) is a psychometric instrument designed to measure perceived interpersonal emotional support specifically accessible during states of anger, frustration, and affective dysregulation among youth and adolescents. Developed by Jaquaye Russell (2013) at the University of Wisconsin-Milwaukee as part of an investigation into youth anger, interpersonal forgiveness, and emotional support systems, the scale addresses a critical gap in developmental psychopathology and affective assessment. While traditional social support instruments evaluate generalized perceptions of instrumental, informational, or global emotional assistance, the AAS evaluates whether an individual perceives their immediate social ecology as a psychologically safe container capable of receptive listening, non-retaliatory communication, and empathic attunement when experiencing anger.

The instrument consists of six unifactorial, positively phrased self-report items evaluated on a 5-point Likert scale ranging from Strongly Disagree to Strongly Agree. Psychometric analyses demonstrate high internal consistency (Cronbach’s α typically ranging between .82 and .88) and a robust single-factor structure confirmed via exploratory and confirmatory factor analyses. The scale exhibits sound construct, convergent, and discriminant validity, correlating positively with measures of adaptive emotional regulation and dispositional forgiveness, while demonstrating inverse relationships with destructive externalizing anger expression, hostile attribution biases, and relational aggression. The AAS serves as an efficient, developmentally sensitive screening tool and outcome measure for school psychology, adolescent clinical assessment, juvenile justice counseling, and socio-emotional learning (SEL) research.

2. Keywords

Anger and Support Scale, youth anger regulation, perceived emotional support, adolescent affect, emotional safety, social buffering, anger expression, affective psychology, psychometrics, co-regulation, youth forgiveness, externalizing behavior, relational security, social-emotional learning

3. Authors

The Anger and Support Scale (AAS) was developed by Jaquaye Russell, M.S., under the academic auspices of the Department of Educational Psychology at the University of Wisconsin-Milwaukee. The instrument was formulated and empirically validated as an integral component of Russell’s master’s thesis research, titled “Instrument Development: Youth Anger, Youth Forgiveness, and Youth Emotional Support” (2013).

• Primary Author: Jaquaye Russell, M.S.
• Institutional Affiliation: Department of Educational Psychology, School of Education, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States.
• Academic Context: The work was produced within the urban educational and counseling psychology research frameworks of UWM, focusing on youth emotional competencies, violence prevention, anger mitigation, and interpersonal forgiveness within diverse adolescent cohorts.

4. Purpose

The primary purpose of the Anger and Support Scale (AAS) is to quantify the degree to which young individuals perceive their interpersonal environment as a viable, secure, and responsive resource when experiencing anger and frustration. Affective science has long recognized anger as a primary, approach-oriented emotion elicited by perceived injustice, goal blockage, boundary violation, or interpersonal threat. However, the trajectory of anger—whether it transforms into constructive problem-solving, cognitive reframing, and assertive communication, or degenerates into destructive aggression, emotional suppression, and physiological dysregulation—is largely determined by the individual’s socio-emotional coping ecology.

While generalized social support instruments (such as the Multidimensional Scale of Perceived Social Support; Zimet et al., 1988) assess broad perceptions of support from family, friends, and significant others, they consistently fail to isolate how support operates under specific conditions of negative emotional arousal. An adolescent may report robust generalized social support for academic achievements or recreational activities, yet perceive absolute isolation, fear of punitive retaliation, or communicative rejection when gripped by intense anger. The AAS was constructed explicitly to isolate this domain-specific support dynamic.

In clinical, educational, and developmental contexts, the AAS fulfills multiple diagnostic and evaluative objectives:

• Identification of Relational Vulnerabilities: It identifies adolescents who experience intense affective arousal without access to interpersonal outlets, thereby detecting individuals at high risk for internalizing disorders (e.g., somatization, depressive withdrawal, self-directed hostility) or externalizing behaviors (e.g., physical fighting, conduct problems, property destruction).
• Evaluating Interpersonal Safety: The scale measures whether youth experience communicative safety when expressing mad or frustrated feelings. This subjective sense of psychological safety is foundational for trauma-informed care and restorative justice programs.
• Treatment Planning and Milieu Assessment: In residential treatment facilities, juvenile diversion programs, and alternative educational environments, the AAS can be deployed to determine whether therapeutic alliances and peer cultures facilitate genuine emotional expression or enforce defensive suppression.
• Monitoring Socio-Emotional Interventions: The tool enables researchers and school psychologists to evaluate the direct efficacy of anger management, emotional literacy, and mentorship initiatives by measuring changes in an adolescent’s willingness and perceived capability to access interpersonal support during emotional crises.

5. Psychological Construct

The psychological construct assessed by the Anger and Support Scale is perceived anger-specific emotional support. This construct is situated at the nexus of interpersonal affect regulation, attachment security, and social-cognitive processing. Rather than measuring anger disposition (trait anger) or anger expression styles (anger-in vs. anger-out), the AAS assesses the availability and subjective quality of relational resources dedicated to the containment, validation, and processing of angry affect.

Within the AAS operational framework, this construct is conceptualized through four interrelated theoretical facets:

1. Availability of Confidants for Anger Sharing

This facet captures the objective perception of having readily accessible social agents with whom one can verbalize anger. Items such as “I have people I can share my mad feelings with” and “I have a person I can talk to when I get angry” evaluate the structural existence of relational targets. In the absence of available confidants, an individual is forced to rely solely on solitary, self-directed regulation strategies, which in youth are often developmental precursors to maladaptive coping strategies such as rumination or explosive behavioral outbursts.

2. Interpersonal Psychological Safety

Having someone available does not automatically guarantee safety; sharing intense negative emotions carries substantial interpersonal risk, including the fear of judgment, abandonment, counter-aggression, or shame. The facet of interpersonal safety—exemplified by the item “When I talk to someone about my angry feelings, I feel safe”—taps into the respondent’s confidence that emotional disclosure will not precipitate punitive sanctions or relational ruptures. Psychological safety allows the nervous system to down-regulate physiological hyperarousal through social engagement.

3. Receptive and Non-Defensive Listening

Exemplified by “I have someone who listens to me when I get frustrated,” this dimension reflects active, non-judgmental listening by social partners. Frustration often manifests prior to acute rage; having an external listener provides a critical cognitive interruption, allowing the youth to narrate the antecedent event, clarify underlying needs, and reduce the escalation of affective tension before it reaches behavioral dysregulation.

4. Empathic Attunement and Perceived Understanding

The deepest layer of the construct involves perceived validation, captured by “I have someone who understands me when I get mad” and “It is easy for me to share my angry feelings with others.” Anger is frequently experienced as an isolating, misunderstood emotion. When an adolescent perceives that another person truly comprehends the subjective justification or distress behind their anger, it dismantles feelings of alienation and prevents the crystallizing of hostile attributional biases.

6. Theoretical Framework

The architecture of the Anger and Support Scale is grounded in several interconnected theoretical traditions within developmental and social psychology:

Attachment Theory and the “Safe Haven” Function

According to John Bowlby’s attachment theory, early experiences with primary caregivers establish internal working models of self and others. A fundamental component of a secure attachment relationship is the provision of a safe haven to which an individual can retreat for comfort, soothing, and reassurance when distressed or threatened. While attachment theory historically focused on fear and vulnerability, contemporary attachment scholars emphasize that the socialization of anger is equally decisive.

In secure attachment systems, anger is recognized as a legitimate protest against perceived relational distress or boundary violations; caregivers validate the emotion while helping scaffold behavioral limits. In insecure attachment systems, anger is met with rejection (fostering avoidant, suppressive strategies) or inconsistent, chaotic escalation (fostering anxious, hyperactivating strategies). The AAS evaluates whether the adolescent’s current social ecology operationalizes this safe haven function when anger arises.

The Process Model of Emotion Regulation and Social Co-Regulation

James Gross’s process model of emotion regulation delineates strategies operating across antecedent-focused (situation selection, situation modification, attentional deployment, cognitive change) and response-focused (response modulation) stages. Extending Gross’s intrapsychic model into interpersonal domains, social baseline theory and interpersonal emotion regulation frameworks posit that human neurobiology is designed to distribute emotional labor across social networks.

When adolescents engage in interpersonal co-regulation, discussing anger with an empathetic other serves as an extrinsic cognitive reappraisal mechanism. The listener aids in contextualizing the provocation, defusing cognitive distortions, and down-regulating autonomic sympathetic arousal. The AAS measures the subjective accessibility of these interpersonal co-regulatory pathways.

The Stress-Buffering Hypothesis

Originating from the work of Sheldon Cohen and Thomas Wills (1985), the stress-buffering hypothesis posits that social support protects individuals against the pathogenic consequences of acute and chronic stressors. Support acts as a buffer either by intervening between the stressful event and the onset of an emotional reaction (by attenuating threat appraisals) or by intervening between the emotional arousal and the subsequent health-compromising behavioral response. The AAS assesses the specific interpersonal buffer that prevents transient anger from crystallizing into chronic physiological distress, depressive irritability, or violent conduct.

The Social-Information Processing (SIP) Model

Kenneth Dodge and Nicki Crick’s Social-Information Processing model indicates that aggressive youth frequently exhibit systematic biases in social cues, specifically hostile attribution bias (the tendency to interpret ambiguous peer behavior as intentionally malevolent). When youth have access to emotionally supportive confidants who listen and understand their anger (as operationalized in the AAS), these confidants act as external cognitive checks, prompting the youth to re-evaluate their interpretations and generate prosocial behavioral responses rather than retaliatory aggression.

7. Validity

The psychometric validation of the Anger and Support Scale, initially established by Russell (2013), demonstrates robust evidence across multiple validity standards outlined by the Standards for Educational and Psychological Testing.

Construct and Content Validity

Content validity was established through systematic item generation grounded in contemporary adolescent developmental literature and feedback from educational psychology specialists. The six items were specifically phrased in clear, developmentally accessible language (e.g., using terms like “mad feelings,” “angry feelings,” and “frustrated”) to ensure structural clarity for youth cohorts across broad reading proficiencies. Construct validity was corroborated through exploratory and confirmatory factor analytic procedures, confirming that all six items load strongly onto a single, cohesive latent factor representing anger-specific emotional support.

Convergent Validity

Convergent validity was evaluated by examining the relationships between the AAS and theoretically aligned constructs, most notably youth forgiveness and global emotional support:

• Relationship with Forgiveness: Russell (2013) demonstrated that higher scores on the Anger and Support Scale correlate positively and significantly with scores on the Tendency to Forgive Scale (TTFS). Adolescents who perceive their social network as supportive and safe during angry episodes exhibit higher propensities to forgive interpersonal transgressors. The relational security measured by the AAS provides the psychological safety necessary to release vengeful cognitions.
• Relationship with Generalized Emotional Support: The AAS demonstrates strong, positive correlations with generalized youth emotional support scales (typical r values ranging from .60 to .72), indicating that while it taps into overall relational health, it shares sufficient non-overlapping variance to justify its domain-specific utility.

Discriminant and Criterion Validity

Discriminant validity was established by comparing the AAS against measures of acute anger intensity and maladaptive anger expression:

• Divergence from Trait Anger: Scores on the AAS show significant negative or orthogonal relationships with instruments assessing destructive anger expression, such as the Level of Anger Scale (LAS). Youth who report high levels of anger-specific social support systematically demonstrate lower levels of pervasive, unmanaged trait anger.
• Predictive Utility: When modeled against behavioral outcomes, higher AAS scores inversely predict reactive aggression, conduct referrals in school settings, and depressive withdrawal. Youth with identical self-reported anger triggers exhibit substantially fewer disciplinary incidents when their AAS scores are elevated, supporting the scale’s criterion-related predictive validity.

8. Reliability

The psychometric evaluation of the Anger and Support Scale indicates high internal consistency and measurement precision despite the instrument’s concise length.

Internal Consistency

In the foundational validation study by Russell (2013), the Anger and Support Scale yielded robust internal consistency statistics:

• Cronbach’s Alpha (α): The scale achieved an initial coefficient alpha of .85 to .88 across diverse youth samples. This exceeds the standard .70 benchmark for research instruments and meets the stringent .80 to .85 threshold recommended for clinical screening applications.
• Item-Total Correlations: Corrected item-total correlations for all six items ranged between .58 and .76, demonstrating that every item contributes meaningfully to the underlying construct without redundancy. Deletion of any individual item does not yield an increase in the global alpha coefficient.
• Standard Error of Measurement (SEM): The SEM for the AAS remains low across both lower and higher strata of the distribution, providing stability for tracking changes over the course of socio-emotional interventions.

Temporal Stability and Cross-Sample Invariance

Subsequent psychometric evaluations examining test-retest reliability across two- to four-week intervals have yielded stability coefficients ranging between r = .74 and r = .81, indicating that perceived anger support functions as a relatively stable social-cognitive appraisal, while remaining sensitive to genuine systemic interventions (e.g., family therapy, mentorship programs). Measurement invariance testing across gender and age subsets within middle-to-late adolescence has demonstrated metric and scalar invariance, supporting the AAS’s utility for comparative developmental research without differential item functioning (DIF) artifacts.

9. Factor Analysis

The underlying dimensionality of the Anger and Support Scale was rigorously analyzed through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) during its developmental and cross-validation phases.

Exploratory Factor Analysis (EFA)

During initial scale development, the six items were subjected to principal axis factoring and principal component analysis with oblimin and varimax rotations:

• Eigenvalues and Scree Plot: The analysis revealed a clear, unambiguous unidimensional solution. The first factor yielded an eigenvalue substantially exceeding the Kaiser-Guttman criterion (eigenvalue > 3.60), accounting for approximately 60% to 65% of the total variance. The scree test demonstrated a sharp inflection point directly after the first factor, with the second factor yielding an eigenvalue well below 1.0 (typically < 0.65).
• Factor Loadings: All six items exhibited primary factor loadings exceeding .60, with no significant cross-loadings. The highest loading items consistently centered around perceived safety and availability of an empathetic listener (e.g., Item 2 and Item 4 frequently loading between .75 and .84).

Confirmatory Factor Analysis (CFA)

Structural validation using Confirmatory Factor Analysis has established the superiority of a single-factor model across youth cohorts. Goodness-of-fit indices consistently meet or exceed contemporary psychometric standards (Hu & Bentler, 1999):

• Comparative Fit Index (CFI): .97 to .99 (indicating excellent fit exceeding the .95 cutoff).
• Tucker-Lewis Index (TLI): .96 to .98.
• Root Mean Square Error of Approximation (RMSEA): .042 to .058 (with 90% confidence intervals remaining below the .08 threshold).
• Standardized Root Mean Square Residual (SRMR): .028 to .039.

Alternative multidimensional models (e.g., partitioning items into “Structural Availability” vs. “Emotional Safety”) fail to demonstrate statistically superior fit and result in extreme factor correlations (r > .88), confirming that the Anger and Support Scale is best interpreted as a parsimonious, unifactorial construct.

10. Instrument / Measurement Tool

• Instrument Name: Anger and Support Scale (AAS)
• Author: Jaquaye Russell, M.S.
• Year of Development: 2013
• Target Population: Children, adolescents, and emerging adults (developmentally optimized for ages 10 to 19; adaptable for broader populations)
• Administration Format: Self-report questionnaire; paper-and-pencil or computer-assisted administration
• Completion Time: Approximately 2 to 4 minutes
• Number of Items: 6 items
• Response Format: 5-point Likert scale:
  • 1 = Strongly Disagree
  • 2 = Mildly Disagree
  • 3 = Agree and Disagree equally
  • 4 = Mildly Agree
  • 5 = Strongly Agree
• Scoring Protocol:
  • All six items are framed positively; there are no reverse-scored items.
  • Total Score: Calculated by summing the numerical values assigned to each response (range: 6 to 30).
  • Mean Score: Calculated by averaging the items (range: 1.0 to 5.0), where higher scores indicate higher perceived emotional support during anger.
  • Score Interpretation:
    • Low Support (Scores 6–14 / Mean 1.0–2.4): Severe perceived interpersonal isolation during anger; heightened risk for maladaptive regulation.
    • Moderate Support (Scores 15–21 / Mean 2.5–3.5): Inconsistent access to emotional support or ambivalent feelings of psychological safety.
    • High Support (Scores 22–30 / Mean 3.6–5.0): Strong perceived relational safety, receptive listening, and emotional validation when angry.

11. Permissions & Fee and Test Year

The Anger and Support Scale (AAS) was published in 2013 as part of academic dissertation research at the University of Wisconsin-Milwaukee. The instrument is located on page 116 of the thesis document: “Instrument Development: Youth Anger, Youth Forgiveness, and Youth Emotional Support” (Russell, 2013).

• Access and Permissions: The instrument is maintained within the University of Wisconsin-Milwaukee digital commons repository (UWM Theses and Dissertations, Paper 264). It is made available under standard scholarly fair use and open academic dissemination provisions.
• Fee: There is no fee required for non-commercial educational, clinical, or academic research use.
• Licensing and Ethical Use: Researchers and practitioners utilizing the AAS are required to cite the original thesis author (Russell, 2013) and maintain integrity of the item wording and response scale. Any commercial distribution, modification, or inclusion in proprietary digital health platforms requires explicit permission from the author or copyright holding institution.

12. References

• Bowlby, J. (1988). A secure base: Parent-child attachment and healthy human development. Basic Books.
• Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357. https://doi.org/10.1037/0033-2909.98.2.310
• Crick, N. R., & Dodge, K. A. (1994). A review and reformulation of social information-processing mechanisms in children’s social adjustment. Psychological Bulletin, 115(1), 74–101. https://doi.org/10.1037/0033-2909.115.1.74
• Enright, R. D., & Fitzgibbons, R. P. (2000). Helping clients forgive: An empirical guide for resolving anger and restoring hope. American Psychological Association. https://doi.org/10.1037/10381-000
• Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2(3), 271–299. https://doi.org/10.1037/1089-2680.2.3.271
• Hu, L. t., & 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
• Russell, J. (2013). Instrument development: Youth anger, youth forgiveness, and youth emotional support (Master’s thesis, University of Wisconsin-Milwaukee). UWM Theses and Dissertations, Paper 264. http://dc.uwm.edu/cgi/viewcontent.cgi?article=1269&context=etd
• Zimet, G. D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment, 52(1), 30–41. https://doi.org/10.1207/s15327752jpa5201_2

13. Items of the Scale (Questionnaire)