Communication Satisfaction Scale (Com-SAT)

Abstract

The Communication Satisfaction Scale (Com-SAT), developed by Michael L. Hecht in 1978, is one of the most widely utilized and psychometrically validated self-report instruments designed to assess an individual’s subjective cognitive and affective evaluation of an interpersonal interaction. Rooted in Hecht’s comprehensive socio-cognitive conceptualization of communication satisfaction, the instrument operationalizes satisfaction not merely as the absence of conversational friction, but as the positive reinforcement and emotional fulfillment derived when conversational expectations, interactional goals, and mutual relational needs are successfully met or exceeded. The standard version of the Com-SAT consists of 19 items evaluated on a 7-point Likert-type response format, ranging from 1 (Strongly Disagree) to 7 (Strongly Agree), with an intermediate neutral anchor. Across numerous empirical investigations, the scale has demonstrated exceptional psychometric properties, consistently yielding internal consistency coefficients (Cronbach’s alpha and split-half reliability) between .90 and .97 across diverse communicative dyads, including interactions with friends, romantic partners, family members, acquaintances, strangers, and workplace supervisors.

Factor-analytic studies of the Com-SAT have established robust construct validity, revealing a predominant unidimensional global satisfaction dimension alongside distinct correlated sub-dimensions, including conversation flow, shared understanding, self-presentation efficacy, mutual interest, and perceived goal achievement. The instrument has been translated into multiple languages and adapted across diverse empirical contexts, ranging from organizational communication and leadership assessment to intercultural encounters, marital counseling, and developmental family research (such as father-daughter relationship dynamics). This comprehensive review provides an in-depth academic examination of the Com-SAT’s theoretical framework, psychometric validity, reliability benchmarks, factor structure, scoring protocol, administrative guidelines, and authentic inventory items.

Keywords

Communication Satisfaction Scale, Com-SAT, Michael L. Hecht, interpersonal communication, relational communication, interaction satisfaction, communication competence, psychometrics, conversational fulfillment, interpersonal evaluation

Authors

The Communication Satisfaction Scale was developed by Michael L. Hecht, Ph.D., an eminent scholar and Distinguished Professor Emeritus of Communication Arts and Sciences at The Pennsylvania State University. Dr. Hecht has authored foundational treatises on interpersonal communication, intercultural communication, message design, and prevention science. His pioneering work during the late 1970s at the University of Illinois and subsequent research at Arizona State University and Penn State systematically established communication satisfaction as an empirical construct distinct from relational satisfaction, communication climate, and general life satisfaction.

Throughout his academic career, Dr. Hecht explored the interplay between culture, identity, nonverbal behaviors, and conversational outcomes. In addition to creating the Com-SAT, he co-developed the Communication Theory of Identity (CTI) and led federally funded intervention programs such as keepin’ it REAL, an evidence-based substance prevention curriculum grounded in culturally grounded communication processes. Inquiries regarding Dr. Hecht’s historical psychometric instruments are typically directed through academic archives or university communication departments.

Purpose

The primary purpose of the Communication Satisfaction Scale (Com-SAT) is to capture and quantify the affective and socio-cognitive evaluations an individual makes regarding a specific, discrete interpersonal exchange or a generalized pattern of communication within a specified dyadic relationship. Historically, communication researchers conflated conversational success with objective performance criteria, linguistic fluency, or broader sociological markers of relationship stability. Hecht introduced the Com-SAT to provide a scientifically grounded, standardized measure focusing specifically on the internal phenomenological experience of the communicators themselves—namely, whether the interaction left the participant feeling psychologically gratified, validated, emotionally supported, and conversationally competent.

In contemporary research and applied settings, the Com-SAT fulfills multiple essential functions:

• Empirical Research in Dyadic Interactions: Researchers employ the Com-SAT to evaluate the outcomes of face-to-face, mediated, and hybrid interpersonal exchanges. It allows investigators to determine how variables such as nonverbal immediacy, self-disclosure, listening styles, active listening, and conversational topic selection directly impact an individual’s subjective communicative fulfillment.
• Organizational and Managerial Assessment: The Com-SAT has been widely adapted to investigate superior-subordinate communication. In organizational psychology, employee communication satisfaction serves as a critical mediating variable between supervisory leadership styles (e.g., transformational, servant, or transactional leadership) and key workplace outcomes such as organizational citizenship behavior, job satisfaction, employee burnout, and voluntary turnover.
• Family and Relational Therapy: Clinical psychologists, family therapists, and relational researchers utilize modified relational versions of the Com-SAT (e.g., father-daughter, marital, or sibling variants) to diagnose systemic interactional dysfunction. By assessing discrepancies between relational partners’ Com-SAT scores, practitioners can identify communicative deficits, such as topic avoidance, perceived emotional invalidation, or asymmetrical listening behaviors.
• Health and Clinical Communication: In medical sociology and healthcare communication, adapted versions of the Com-SAT evaluate patient-physician interactions. High communication satisfaction is strongly associated with enhanced patient adherence to therapeutic regimens, elevated medical comprehension, improved clinical outcomes, and decreased malpractice litigation.
• Instructional and Educational Communication: In pedagogical research, the scale is utilized to measure student-teacher interactions, assessing how instructional clarity, socio-communicative style, and out-of-class communication influence academic engagement and learning satisfaction.

Psychological Construct

The psychological construct measured by the Com-SAT is communication satisfaction. Hecht (1978a, 1978b) formally defined communication satisfaction as an internal, affective response resulting from the fulfillment of expectations through the communicative process. Rather than being an intellectual appraisal of linguistic accuracy or an objective audit of message delivery, communication satisfaction is conceptualized as an emotional state characterized by positive feelings, a sense of accomplishment, relational alignment, and personal psychological validation.

Hecht conceptualized the construct through several core psychological facets that together constitute the overall interactional experience:

1. Expectancy Disconfirmation and Confirmation

At the cognitive core of communication satisfaction lies the comparison between an individual’s pre-interactional expectations and the actual interactional reality. When interpersonal encounters meet or exceed normative, positive expectations regarding politeness, conversational attentiveness, and intellectual stimulation, the participant experiences positive affect. Conversely, negative disconfirmation (e.g., interrupted speech, perceived arrogance, topic neglect) induces psychological discomfort and interactional dissatisfaction.

2. Mutual Understanding and Empathetic Attunement

Communication satisfaction heavily depends on whether a speaker perceives that their interlocutor actively received, decoded, and accurately comprehended their message. Items such as “The other person showed me that he/she understood what I said” capture this dimension of empathetic reception. Interpersonal interactions in which communicators talk past one another generate profound cognitive fatigue and emotional alienation.

3. Self-Presentation and Identity Confirmation

Interpersonal communication is fundamentally an identity negotiation process. Communication satisfaction increases markedly when individuals feel that an exchange allowed them to project their authentic self-concept without fear of social sanctions or misrepresentation. This dimension is operationalized through statements such as “I felt that during the conversation I was able to present myself as I wanted the other person to view me.” When an interlocutor ratifies an individual’s preferred social face, interpersonal satisfaction reaches its zenith.

4. Interactional Fluidity and Conversational Flow

Conversations that are characterized by smooth floor management, natural turn-taking, equitable speaking time, and the absence of awkward silences or disruptive interruptions foster higher levels of communicative gratification. Items such as “The conversation flowed smoothly” and “We each got to say what we wanted” measure this vital socio-linguistic flow.

5. Affective Resonance and Sociability

Beyond pragmatic message exchange, satisfying communication involves an affective bond, humor, and shared enjoyment. Indicators such as “I felt that we could laugh easily together” reflect the emotional climate of the dyad, demonstrating that communication satisfaction is intrinsically intertwined with relational warmth and socio-emotional play.

Theoretical Framework

The development of the Communication Satisfaction Scale was guided by the convergence of several major theoretical paradigms in social psychology, communication theory, and micro-sociology. Foremost among these are Hecht’s own Discriminative and Expectancy Model of Communication Satisfaction, Social Exchange Theory, and Symbolic Interactionism.

Hecht’s Expectancy Framework of Satisfaction

Hecht (1978c) formulated communication satisfaction within an expectancy framework. Drawing on early cybernetic and cognitive balance models, Hecht posited that communicators enter interactions with pre-existing behavioral and relational expectations shaped by past experiences, social norms, culture, and personal scripts. In Hecht’s model:

• Expectation Formation: Communicators hold cognitive representations of what should happen (normative expectations) and what is likely to happen (predictive expectations).
• Interaction Processing: As communicative cues are exchanged, real-time decoding evaluates whether the interaction aligns with, falls short of, or surpasses these benchmarks.
• Affective Synthesis: Satisfaction is the net affective outcome of this appraisal. If expectations are confirmed positively or breached favorably (as detailed in later adaptations of Burgoon’s Expectancy Violations Theory), the participant experiences elevated communication satisfaction.

Social Exchange and Interdependence Theories

The Com-SAT is deeply informed by Thibaut and Kelley’s Social Exchange Theory. In this perspective, communication is conceptualized as an ongoing exchange of verbal and nonverbal rewards and costs. Rewards include active listening, validation, emotional affirmation, humor, and useful informational input. Costs involve psychological tension, awkward silences, condescending remarks, or emotional labor. Communication satisfaction represents the subjective cost-benefit ratio experienced by the participant: when interactional rewards noticeably exceed communicative costs, satisfaction scores are exceptionally high.

Symbolic Interactionism and Face Negotiation

Grounded in the sociological traditions of George Herbert Mead and Erving Goffman’s theory of Face-work, Hecht incorporated the premise that communication is an active, co-constructed symbolic arena. In everyday life, human beings strive to maintain a favorable social identity (face). A conversation that undermines an individual’s face (e.g., through dismissiveness, aggressive topic shifts, or verbal neglect) inflicts interactional damage. Conversely, a conversation that upholds positive face fosters profound interpersonal satisfaction and strengthens relational security.

Validity

The Communication Satisfaction Scale has been subjected to extensive empirical psychometric evaluations spanning four decades. In his seminal 1978 validation studies published in Human Communication Research, Hecht established robust evidence for the Com-SAT’s construct, convergent, criterion-related, and discriminant validity across a wide range of social encounters.

Construct and Convergent Validity

Construct validity for the Com-SAT was demonstrated through systematic correlations with established indices of interpersonal attraction, relational competence, and conversational involvement. In Hecht’s initial investigations (1978a, 1978b), the Com-SAT exhibited strong positive correlations with measures of interpersonal attraction (social attraction: r = .64 to .78; task attraction: r = .52 to .68). Spitzberg and Hecht (1984) integrated the Com-SAT into their relational competence model, finding that communicative competence—measured via conversational appropriateness and effectiveness—correlated robustly with Com-SAT scores (r = .71, p < .001). Individuals who were judged by external observers as demonstrating higher nonverbal attentiveness, vocal variety, and appropriate turn-taking systematically scored higher on Com-SAT self-reports.

Criterion-Related and Predictive Validity

Predictive validity has been repeatedly demonstrated across organizational, familial, and romantic domains. In organizational research, high Com-SAT scores reliably predict reduced employee turnover intentions (accounting for between 18% and 34% of the variance), increased organizational commitment, and superior job performance ratings. In studies examining father-daughter communication patterns (Punyanunt-Carter, 2007; Heeman, 2008), Com-SAT scores predicted broad psychological well-being, healthy attachment styles, and dyadic closeness, confirming that the scale accurately captures the affective quality of foundational human relationships.

Discriminant Validity

Discriminant validity was established by demonstrating that the Com-SAT measures a construct empirically distinct from generalized mood states, communication apprehension, and overall life satisfaction. While related, Com-SAT scores do not merely index an individual’s chronic tendency to experience positive or negative affect. Correlations between the Com-SAT and standardized measures of communication apprehension (such as McCroskey’s PRCA-24) are consistently negative and moderate (r = -.30 to -.45), indicating that while highly apprehensive communicators experience lower satisfaction, the two instruments measure distinct psychological phenomena.

Reliability

The Com-SAT is recognized within communication science and psychometrics for its consistently superior internal reliability and temporal stability. In the original series of instrument development investigations, Hecht (1978a, 1978b) evaluated the scale across multiple dyadic relational categories, including interactions among close friends, romantic partners, casual acquaintances, and total strangers.

Key reliability findings documented in the psychometric literature include:

• Internal Consistency (Cronbach’s Alpha): Across diverse samples, the Com-SAT routinely achieves Cronbach’s alpha coefficients exceeding .90. In Hecht’s original studies (1978a), alpha coefficients ranged from .90 to .96 across distinct relational conditions. Later studies across organizational contexts (e.g., supervisor-employee communication) consistently report alpha levels between .91 and .95.
• Split-Half Reliability: Hecht (1978a) reported split-half reliability coefficients for the Com-SAT ranging from .90 to .97 across various item sets and participant cohorts.
• Test-Retest Stability: When administered to evaluate generalized relational communication patterns (such as typical communication with an immediate supervisor or a family member) across a two- to four-week test-retest interval, the Com-SAT exhibits stability coefficients ranging from r = .79 to .86, demonstrating robust temporal consistency for habitual communicative evaluations. In contrast, when utilized as an episodic post-conversation assessment, the scale remains sensitive to state-level fluctuations between distinct interactional episodes.

Factor Analysis

The structural dimensionality of the Com-SAT has been rigorously examined through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). In Hecht’s initial scale development research (1978b), an 81-item pool was administered to hundreds of participants who evaluated recent communicative interactions. Principal components factor analyses with orthogonal (Varimax) and oblique rotations systematically reduced the instrument to 19 robust items displaying high primary factor loadings (> .50) and minimal cross-loadings (< .30).

Across validation studies, the Com-SAT has been evaluated under two primary structural models:

1. The Unidimensional Model

In many empirical applications, the Com-SAT is treated as an essentially unidimensional scale. EFA procedures frequently reveal that the first unrotated factor accounts for a dominant proportion of the total variance (often between 45% and 60%), with an eigenvalue substantially larger than subsequent components (the ratio of the first to the second eigenvalue typically exceeds 4:1). Consequently, psychometricians frequently compute a single composite interaction satisfaction score by summing or averaging all 19 items (with appropriate reverse scoring).

2. Multidimensional Correlated Factor Model

When evaluated via Confirmatory Factor Analysis (CFA), multi-factor solutions frequently demonstrate superior model fit, isolating interrelated socio-cognitive dimensions of satisfaction:

• Conversational Flow and Harmony: Comprising items assessing smooth interactional pacing, topic transitions, and ease of dialogue (e.g., Items 14, 15, and 16).
• Mutual Understanding and Attentiveness: Comprising items reflecting active listening, message comprehension, and genuine interest (e.g., Items 1, 4, 8, and 10).
• Conversational Discontent / Inefficacy: Comprising negatively worded items capturing boredom, perceived futility, and communication distress (e.g., Items 2, 5, 6, 11, and 19).
• Self-Presentation and Expression: Comprising items assessing freedom of expression and identity management (e.g., Items 7 and 13).

In structural equation modeling (SEM), these sub-dimensions display high inter-factor correlations (typically ranging from r = .55 to .75) and load significantly onto a second-order general factor of Communication Satisfaction, yielding excellent fit indices (e.g., RMSEA < .06, CFI > .94, TLI > .93).

Instrument / Measurement Tool

• Instrument Name: Communication Satisfaction Scale (Com-SAT)
• Author: Michael L. Hecht (1978)
• Administration Format: Self-administered paper-and-pencil questionnaire or computerized survey
• Completion Time: Approximately 4 to 7 minutes
• Target Population: Adolescents and adults (typically aged 14 and older) across personal, organizational, clinical, or academic settings
• Total Number of Items: 19 items
• Response Scale: 7-point Likert-type response format:
• 1 = Strongly Disagree
• 2 = Disagree
• 3 = Somewhat Disagree
• 4 = Neutral
• 5 = Somewhat Agree
• 6 = Agree Strongly
• 7 = Agree
• Direction of Scoring: The Com-SAT contains both positively and negatively worded statements to control for acquiescence response bias.
• Reverse-Coded Items: Exactly eight items must be reverse-coded prior to statistical analysis: Item 2, Item 5, Item 6, Item 11, Item 12, Item 17, Item 18, and Item 19 (i.e., recode 1 into 7, 2 into 6, 3 into 5, 4 into 4, 5 into 3, 6 into 2, and 7 into 1).
• Scoring Procedure:
  • Total Score: Sum the scores of all 19 items after reversing the specified 8 items. Total scores range from 19 to 133.
  • Mean Score: Calculate the arithmetic mean of all 19 items (sum divided by 19), yielding a final score on a 1 to 7 continuum.
  • Interpretation: Higher total and mean scores correspond to higher levels of communication satisfaction, interactional fulfillment, and perceived conversational effectiveness.

Permissions & Fee and Test Year

The Communication Satisfaction Scale was originally developed and published by Michael L. Hecht in 1978 across a foundational series of articles in the Quarterly Journal of Speech and Human Communication Research. As an academic psychometric measure published in peer-reviewed scientific literature, the Com-SAT is widely considered to reside in the academic public domain for non-commercial educational, scientific, and clinical research purposes.

Researchers and clinicians are generally permitted to administer, adapt, and translate the scale without royalty fees, provided that standard academic citation is properly attributed to Dr. Michael L. Hecht and the original 1978 validation papers. Commercial organizations, consulting corporations, and proprietary assessment developers seeking to incorporate the Com-SAT into monetized software platforms or commercial diagnostic packages should consult relevant academic publishers (e.g., the International Communication Association and Oxford University Press) or contact the author regarding permissions and intellectual property licensing.

References

• Hecht, M. L. (1978a). The conceptualization and measurement of interpersonal communication satisfaction. Human Communication Research, 4(3), 253–264. https://doi.org/10.1111/j.1468-2958.1978.tb00614.x
• Hecht, M. L. (1978b). Measures of communication satisfaction. Human Communication Research, 4(4), 350–368. https://doi.org/10.1111/j.1468-2958.1978.tb00623.x
• Hecht, M. L. (1978c). Toward a conceptualization of communication satisfaction. Quarterly Journal of Speech, 64(1), 47–62. https://doi.org/10.1080/00335637809383411
• Hecht, M. L. (1984). Satisfying communication and relationship labels: Intimacy and length of relationship as perceptual frames of naturalistic conversations. Western Journal of Speech Communication, 48(3), 201–216. https://doi.org/10.1080/10570318409374158
• Heeman, V. C. (2008). Interpersonal communication motives, satisfaction, and psychological well-being in father-young adult daughter relationships (Master’s thesis). Kent State University. http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1068&context=gradschool_theses
• Punyanunt-Carter, N. M. (2007). Using attachment theory to study satisfaction in father-daughter relationships. Human Communication, 10(2), 103–120.
• Spitzberg, B. H., & Hecht, M. L. (1984). A component model of relational competence. Human Communication Research, 10(4), 575–599. https://doi.org/10.1111/j.1468-2958.1984.tb00033.x

13. Items of the Scale (Questionnaire)