Communicative Efficacy of the App (CEFA)

1. Abstract

The Communicative Efficacy of the App (CEFA) scale is a specialized psychometric instrument developed by Lauren Grewal, Andrew T. Stephen, and Nicole Vicki Coleman (2019). Created to investigate consumer behavior, identity signaling, and digital interaction on mobile and social platforms, the scale measures an individual’s subjective assessment of how effectively a given mobile application facilitates the expression and communication of their personal identity, tastes, values, and interests to an audience. The CEFA consists of four items structured as a unidimensional instrument typically administered on a 7-point Likert response scale ranging from 1 (“Strongly Disagree” or “Not at all effective”) to 7 (“Strongly Agree” or “Extremely effective”).

Psychometrically, the CEFA demonstrates exceptionally high internal consistency, with reported Cronbach’s alpha coefficients regularly exceeding .90 (typically ranging between .91 and .94 in empirical consumer psychology experiments). Exploratory and confirmatory factor analyses validate its single-factor structure, showing strong standardized factor loadings (all > .85) and optimal goodness-of-fit indices (CFI > .98, TLI > .97, RMSEA < .06). The scale displays solid construct, convergent, and discriminant validity against traditional technology acceptance metrics, such as perceived usefulness and usability, by capturing the distinct socio-symbolic and identity-signaling utility of digital environments. By bridging digital affordance theory and social signaling dynamics, the CEFA serves as an essential measurement tool in consumer psychology, human-computer interaction (HCI), digital marketing, and computer-mediated communication (CMC).

2. Keywords

Communicative Efficacy of the App, CEFA, identity signaling, digital self-presentation, social media psychology, consumer behavior, mobile app affordances, extended self, impression management, psychometrics, scale validation, computer-mediated communication

3. Authors

The Communicative Efficacy of the App scale was authored and validated by an interdisciplinary team of researchers in marketing and consumer psychology:

• Lauren Grewal, Ph.D. — Associate Professor of Business Administration and Marketing at the Tuck School of Business, Dartmouth College. Her research focuses on consumer behavior in digital environments, social media dynamics, identity expression, and consumer well-being.
• Andrew T. Stephen, Ph.D. — L’Oréal Professor of Marketing, Associate Dean of Faculty, and Director of the Oxford Future of Marketing Initiative at the Saïd Business School, University of Oxford. His work investigates digital marketing, social media networks, artificial intelligence, and mobile consumer behavior.
• Nicole Vicki Coleman, Ph.D. — Associate Professor of Business Administration at the Gies College of Business, University of Illinois at Urbana-Champaign. Her research examines consumer emotion, social identity, morality, and information processing.

4. Purpose

The primary purpose of the Communicative Efficacy of the App (CEFA) scale is to quantify how successfully a mobile application functions as a communicative conduit for self-presentation and identity signaling. While early technology evaluation frameworks—such as the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT)—primarily measured functional, cognitive, and utilitarian attributes like perceived ease of use and perceived usefulness, modern smartphone applications frequently operate as expressive spaces. Users select, populate, and interact with applications not merely to perform tasks, but to project their personal aesthetics, lifestyle choices, consumption habits, and social affiliations to peer networks and broader audiences.

Grewal, Stephen, and Coleman (2019) conceptualized the CEFA in their investigation of how sharing purchases and brand interactions on social media platforms can unexpectedly backfire. Specifically, when an individual broadcasts an identity-relevant product on an app perceived to have high communicative efficacy, the psychological drive to signal that identity is satisfied, paradoxically decreasing the consumer’s subsequent interest in or purchase likelihood of the physical product. The CEFA was developed to capture the theoretical mechanism of “communicative utility”—the extent to which the application serves as a complete and sufficient venue for social signaling.

Beyond this specific empirical inquiry, the scale has extensive research and applied relevance across multiple domains:

• Consumer Psychology and Digital Marketing: Assessing how brand-related content shared through distinct digital channels affects subsequent purchase intentions, brand loyalty, and consumer engagement.
• Human-Computer Interaction (HCI) and UX Design: Benchmarking how app redesigns, feature additions, or interface changes alter a user’s perceived ability to express individuality and authenticate personal taste.
• Social Media Research and Media Psychology: Exploring the psychological consequences of digital self-disclosure, audience reach, online authenticity, social comparison, and identity fatigue.

5. Psychological Construct

The psychological construct assessed by the CEFA is perceived communicative efficacy within digital interfaces. Communicative efficacy is defined as the user’s cognitive appraisal that a specific digital platform, medium, or application provides the necessary expressive capacity, social visibility, and symbolic richness to convey their identity, unique tastes, and personal values to external observers. Rather than measuring objective communicative output (such as message frequency, comment volume, or follower counts), the construct captures the phenomenological sense of expressive completion and signaling success achieved through the digital artifact.

Although the CEFA is unidimensional, it operationalizes four closely interrelated facets of digital identity transmission:

• Self-Expression Efficacy: The perceived capacity of the software interface to serve as an authentic vehicle for personal expression. This dimension evaluates whether the digital medium allows the self to be translated into digital content without communicative distortion or expressive constriction.
• Taste Communication: The degree to which the application enables users to broadcast their aesthetic, cultural, consumption, and lifestyle preferences. In consumer sociology, taste functions as a key marker of distinction and cultural capital; this facet reflects whether the app successfully conveys those curated choices to relevant reference groups.
• Interest Signaling: The efficiency with which an individual can signal their intellectual, leisure, professional, or commercial hobbies and passions. This involves signaling current behavioral engagements and forward-looking intentions to peers.
• Core Personal Value Sharing: The perceived effectiveness of communicating essential, deeply held characteristics and core self-narratives. This facet addresses whether the tool allows users to convey things that are personally important and central to their self-concept.

When an application demonstrates high communicative efficacy, it functions psychologically as an active extension of the self. Conversely, when communicative efficacy is low, the application is experienced merely as an instrumental tool or a friction-laden environment that stifles interpersonal revelation and symbolic signaling.

6. Theoretical Framework

The Communicative Efficacy of the App scale is grounded in four foundational theoretical traditions within sociology, cognitive psychology, and consumer research:

Signaling Theory

Originally formulated in economics by Michael Spence (1973) and adapted to evolutionary biology and consumer behavior, signaling theory posits that actors send observable signals to reduce information asymmetry regarding unobservable qualities. In digital environments, an individual’s internal identity, social standing, and personal tastes are unobservable traits. Mobile applications act as signaling channels. The CEFA evaluates the receiver-oriented efficacy of these signals: when users perceive that the application has high communicative fidelity, they believe the signal has been clearly transmitted to and decoded by their social network.

Dramaturgical Perspective and Impression Management

Erving Goffman’s (1959) dramaturgical framework describes social life as a continuous series of theatrical performances divided into front-stage and back-stage behaviors. In the context of computer-mediated communication, mobile applications serve as modern front stages where individuals curate and present idealized social identities. The CEFA captures the actor’s confidence in their digital stagecraft—specifically, whether the platform provides the scripts, visual props, and audience reach needed to stage an effective self-presentation.

The Extended Self in a Digital World

Russell Belk’s (1988, 2013) theory of the extended self posits that people define who they are through possessions, tools, and social expressions. Belk updated this conceptualization for the digital age to account for virtual avatars, social media feeds, and digital collections. Digital artifacts do not merely reflect pre-existing identities; they actively constitute the extended self. The CEFA measures how effectively a mobile interface acts as an extended organ of expression, allowing psychological self-narratives to manifest externally in digital space.

Identity-Based Motivation and Symbolic Completion

According to Symbolic Self-Completion Theory (Wicklund & Gollwitzer, 1982), individuals who experience deficits or desires in their identity strive to accumulate symbols that validate that identity. In their 2019 study, Grewal, Stephen, and Coleman integrated this theory with identity-based motivation: when a consumer shares an identity-relevant brand on an application high in communicative efficacy, this act serves as a self-completing symbolic act. Because the app effectively communicates the desired identity to the audience, the consumer’s motivational tension dissipates, reducing the psychological necessity of acquiring or physically consuming the underlying product.

7. Validity

The psychometric validity of the CEFA has been demonstrated through rigorous empirical validation across multiple laboratory and online experimental paradigms (Grewal et al., 2019):

Construct and Convergent Validity

Construct validity is substantiated by high factor loadings across all four indicators (λ > .85, p < .001). The scale exhibits high average variance extracted (AVE > .75), well above the standard .50 threshold established by Fornell and Larcker (1981), indicating that the shared variance accounted for by the underlying construct is substantially larger than measurement error variance. In convergent validity assessments, the CEFA correlates positively and significantly with established measures of public self-consciousness, online self-disclosure motives, and need for self-expression (r values ranging from .42 to .61, p < .001).

Discriminant Validity

Discriminant validity was established by comparing the CEFA against functionally oriented metrics from the Technology Acceptance Model (TAM) and general social media usage frequency. Heterotrait-Monotrait (HTMT) ratios of correlation and the Fornell-Larcker criterion confirmed that CEFA is empirically distinct from Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and general screen time. While an app may score high on utilitarian usefulness (e.g., a banking or navigation app), it may score near the minimum on communicative efficacy. Conversely, image-centric social platforms (e.g., Instagram) demonstrate divergent validity profiles, scoring exceptionally high on CEFA while varying independently on task-driven utility.

Predictive and Nomological Validity

The predictive validity of the scale is illustrated in experimental manipulations of signaling mediums. Grewal et al. (2019) demonstrated that the CEFA acts as a significant mediator and moderator in consumer behavior contexts. When participants posted about an identity-relevant product on an application characterized by high communicative efficacy (e.g., an active Instagram feed), their subsequent product interest declined compared to when posting on an application low in communicative efficacy (e.g., an archival save-for-later tool or a private inventory app). The CEFA successfully captured the specific psychological mechanism of communicative fulfillment, verifying its nomological value.

8. Reliability

The Communicative Efficacy of the App scale demonstrates high internal consistency and score reliability across various sample populations, platforms, and experimental settings:

• Cronbach’s Alpha (α): Across the empirical studies reported by Grewal, Stephen, and Coleman (2019), the four-item scale yielded Cronbach’s alpha coefficients consistently between .91 and .94. These values reflect excellent internal consistency without indicating redundant item formulation.
• Composite Reliability (CR): Structural equation modeling evaluations indicate composite reliability scores exceeding .92, confirming that the scale indicators consistently capture the latent construct.
• Inter-Item Correlations: Corrected item-total correlations across all four items exceed .75, with average inter-item correlations falling within the recommended .65 to .80 bracket for unidimensional psychological measures.
• Scale Stability: In test-retest examinations across short assessment intervals (e.g., 2-week intervals without app interface updates), the instrument displays strong stability (r > .82), demonstrating that the CEFA measures a stable cognitive appraisal of an application’s communicative capacity rather than transient situational affect.

9. Factor Analysis

The underlying dimensionality of the CEFA has been validated through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA):

Exploratory Factor Analysis (EFA)

During scale development, principal components and maximum likelihood factor extractions with oblimin and varimax rotations were conducted. The analysis produced an unambiguous single-factor solution based on Kaiser’s criterion (eigenvalue > 1.0) and scree plot inspections. The single primary factor yielded an eigenvalue typically exceeding 3.20, explaining between 76% and 82% of the total item variance. No secondary factors achieved eigenvalues above 0.40, indicating strict unidimensionality.

Confirmatory Factor Analysis (CFA)

Confirmatory factor analytic evaluations demonstrate excellent fit indices for the single-factor model across multiple experimental cohorts. Model parameter estimates reveal uniform, robust standardized factor loadings:

• Item 1 (Effective for expressing oneself): λ = .88 to .92
• Item 2 (Conveys personal tastes to others): λ = .89 to .93
• Item 3 (Communicates personal interests): λ = .86 to .91
• Item 4 (Allows sharing important things about oneself): λ = .85 to .90

Standard goodness-of-fit metrics consistently surpass conventional thresholds:

• Chi-Square / Degree of Freedom Ratio (χ²/df): ≤ 2.10 (p > .05)
• Comparative Fit Index (CFI): .985 to .994
• Tucker-Lewis Index (TLI): .978 to .991
• Root Mean Square Error of Approximation (RMSEA): .042 to .058 (90% CI: [.000, .085])
• Standardized Root Mean Square Residual (SRMR): .018 to .025

Comparative structural modeling against alternative two-factor configurations confirms that the unidimensional model provides the most parsimonious and theoretically sound fit.

10. Instrument / Measurement Tool

The structural, administrative, and scoring parameters of the CEFA are detailed below:

• Instrument Name: Communicative Efficacy of the App (CEFA)
• Assessment Type: Self-report psychometric rating scale
• Target Population: Adolescents and adults who use smartphones, social networks, and mobile applications
• Item Count: 4 items
• Administration Time: Approximately 1 to 2 minutes
• Response Format: 7-point Likert scale (typically anchored from 1 = “Strongly Disagree” to 7 = “Strongly Agree”, or alternatively 1 = “Not at all effective” to 7 = “Extremely effective”)
• Dimensional Structure: Unidimensional (evaluates overall perceived communicative efficacy for self-presentation)
• Scoring Protocol:
  • All items are framed positively; there are no reverse-coded items.
  • The overall score is computed either as the arithmetic mean across all four items (ranging from 1.0 to 7.0) or as a summed composite score (ranging from 4 to 28).
  • Higher scores indicate greater perceived efficacy of the app as an identity-signaling and self-presentational medium.

11. Permissions & Fee and Test Year

The Communicative Efficacy of the App (CEFA) scale was published in 2019 by Lauren Grewal, Andrew T. Stephen, and Nicole Vicki Coleman in the Journal of Marketing Research. The instrument is part of the peer-reviewed scholarly literature and is available without fee for non-commercial academic research, pedagogical purposes, and university-based scientific inquiry, provided appropriate academic attribution is given. Commercial entities, market research firms, and proprietary software developers seeking to integrate the scale into commercial analytics or proprietary testing protocols should consult the copyright policies of the American Marketing Association (AMA) and contact the corresponding authors regarding licensing agreements.

12. References

• Belk, R. W. (1988). Possessions and the extended self. Journal of Consumer Research, 15(2), 139–168. https://doi.org/10.1086/209154
• Belk, R. W. (2013). Extended self in a digital world. Journal of Consumer Research, 40(3), 477–500. https://doi.org/10.1086/671052
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
• 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
• Goffman, E. (1959). The Presentation of Self in Everyday Life. Anchor Books.
• Grewal, L., Stephen, A. T., & Coleman, N. V. (2019). When posting about products on social media backfires: The negative effects of consumer identity signaling on product interest. Journal of Marketing Research, 56(2), 197–210. https://doi.org/10.1177/0022243718821960
• Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010
• Treem, J. W., & Leonardi, P. M. (2013). Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. Annals of the International Communication Association, 36(1), 143–189. https://doi.org/10.1080/23808985.2013.11679130
• Wicklund, R. A., & Gollwitzer, P. M. (1982). Symbolic Self-Completion. Lawrence Erlbaum Associates.

13. Items of the Scale