Information Believability (INFBEL)

1. Abstract

The Information Believability Scale (often abbreviated as INFBEL) is a unidimensional psychometric instrument originally introduced by Zeynep Gürhan-Canli and Durairaj Maheswaran (2000) within consumer psychology and marketing communication research. The instrument is engineered to assess the subjective degree of veracity, epistemic plausibility, and cognitive acceptance that individuals assign to specific claims, textual narratives, or experimental messaging. Comprising five bipolar semantic differential items, the scale prompts respondents to evaluate target information across five foundational cognitive anchors: unbelievable / believable, untrue / true, not credible / credible, unacceptable / acceptable, and untrustworthy / trustworthy.

Typically administered using a 7-point rating format, INFBEL quantifies an individual’s immediate epistemic evaluation of informational stimuli. Psychometrically, the scale consistently displays an exceptionally high degree of internal consistency, with reported Cronbach’s alpha values ranging between .88 and .95 across diverse empirical paradigms. Exploratory and confirmatory factor analyses demonstrate a robust, invariant, single-factor latent structure accounting for upwards of 75% of observed item variance. The instrument exhibits pronounced construct, convergent, and discriminant validity, operating as an essential mediator between message characteristics (such as argument strength, source expertise, or country-of-origin cues) and downstream psychological outcomes, including attitude formation, message adoption, brand evaluation, and behavioral intentions. This article provides an exhaustive examination of the scale’s historical origins, theoretical foundation, psychometric architecture, administration protocols, and empirical applications across the behavioral sciences.

2. Keywords

Information believability, INFBEL, message credibility, epistemic trust, source credibility, consumer psychology, semantic differential, dual-process theory, elaboration likelihood model, information processing, cognitive evaluation, marketing research, psychometrics.

3. Authors

The Information Believability Scale was developed by Zeynep Gürhan-Canli and Durairaj Maheswaran for their foundational investigation into consumer information processing published in the Journal of Marketing Research.

• Zeynep Gürhan-Canli, Ph.D.: Migros Professor of Marketing and Vice President for Academic Affairs at Koç University, Istanbul, Turkey. Formerly on the faculty at the Ross School of Business, University of Michigan. Her research focuses extensively on consumer information processing, branding, country-of-origin effects, and corporate social responsibility.
• Durairaj Maheswaran, Ph.D.: Eugene J. Lang Professor of Marketing and International Business at the Leonard N. Stern School of Business, New York University (NYU). His scholarly contributions center on consumer behavior, dual-process persuasion models, heuristic processing, cross-cultural judgment, and the cognitive determinants of consumer decision-making.

4. Purpose

The primary purpose of the Information Believability (INFBEL) scale is to capture, with psychometric rigor and parsimony, an individual’s cognitive appraisal of the authenticity, epistemic validity, and diagnostic trustworthiness of communicative stimuli. In experimental psychology, behavioral economics, and marketing sciences, researchers frequently expose participants to textual vignettes, product claims, public health advisories, news snippets, or corporate assertions. To establish internal validity, investigators must confirm whether participants genuinely perceived the experimental manipulation as authentic or if the claims triggered skepticism, discounting, or perceived fabrication.

Prior to the formal standardization of scales like INFBEL, researchers frequently conflated the perceived credibility of the source (the communicator) with the perceived believability of the message content itself. While an individual may acknowledge that a communicator is a certified expert or a legitimate organization (high source credibility), they may simultaneously view a specific claim made by that entity as inherently implausible, exaggerated, or methodologically flawed (low message believability). Conversely, a source lacking traditional authority may provide an assertion that appears fundamentally logical, true, and acceptable. INFBEL was designed explicitly to disentangle message-level credibility from source-level evaluations, offering a laser-focused operationalization of content veracity.

Beyond experimental manipulation checks, the scale serves critical functions across diverse applied domains:

• Advertising and Persuasion Research: Determining the tipping point at which dramatic advertising claims, comparative advertising assertions, or product endorsements evoke cognitive resistance and counterarguing.
• Misinformation and Digital Media Studies: Measuring susceptibility to digital disinformation, fake news headlines, sponsored native content, and social media rumors by examining how visual framing, algorithmic feeds, or social proof metrics influence message believability.
• Public Health and Risk Communication: Assessing whether public advisories—such as vaccine efficacy statistics, smoking cessation warnings, or dietary guidelines—are interpreted as credible, actionable, and epistemically sound by targeted demographics.
• Crisis Communication and Public Relations: Evaluating consumer and stakeholder skepticism toward corporate apologies, greenwashing claims, and crisis accountability statements.

By capturing the cognitive acceptance or rejection of informational inputs, INFBEL operates as a vital explanatory bridge within causal chains, illuminating how external information translates into internal belief revision and behavioral modification.

5. Psychological Construct

The psychological construct assessed by the INFBEL scale is Information Believability—defined as the degree to which an individual judges a focal piece of information to be truthful, credible, plausible, and acceptable within their cognitive reality. Rather than tapping an affective response (such as liking, valence, or emotional resonance) or an intentional outcome (such as purchase willingness or compliance), INFBEL taps a strictly cognitive, epistemic evaluation. Within the cognitive architecture, information believability represents an individual’s subjective estimation of the probability that a stated proposition corresponds to objective reality.

Although the INFBEL scale functions psychometrically as a strictly unidimensional instrument, the construct comprises five interlinked epistemic facets reflected in its semantic anchors:

1. Perceived Veracity (Untrue vs. True)

Veracity represents the foundational ontological appraisal of information. It addresses the correspondence criterion of truth: does the proposition reflect factual states of the world? When an individual evaluates a claim as “true,” they judge that the asserted proposition is free from factual falsification, distortion, or deception. In information processing, perceived untruth immediately halts progressive cognitive elaboration and triggers defensive cognitive mechanisms such as skepticism, source derogation, or outright rejection.

2. Plausibility and Subjective Probability (Unbelievable vs. Believable)

Believability extends beyond formal truth verification into psychological plausibility. A statement may be theoretically true, yet fall so far outside a receiver’s established cognitive schemas that it feels unbelievable. For instance, a technological advancement claiming a 1,000% increase in battery longevity may be verified in an engineering laboratory, yet ordinary consumers may categorize it as “unbelievable” because it violates their prior subjective probability distributions. This facet measures the degree to which incoming data integrates smoothly into an individual’s pre-existing worldview without necessitating disruptive cognitive accommodation.

3. Epistemic Credibility (Not Credible vs. Credible)

Credibility encapsulates the weight of evidence and diagnostic value inherent within the message. Rooted in cognitive rhetoric, credibility reflects the perception that the claim is well-substantiated, grounded in sound logic, and backed by implicit or explicit evidence. A claim rated as highly credible possesses diagnostic potency; it is viewed as an argument of high quality that warrants serious cognitive engagement rather than heuristic dismissal.

4. Normative and Rational Acceptability (Unacceptable vs. Acceptable)

Acceptability reflects the receiver’s willingness to incorporate the information into their working cognitive framework. It evaluates whether the argument meets standards of reasonableness, contextual coherence, and logical proportionality. If a claim appears excessively aggressive, manipulative, or logically non sequitur, it will be deemed cognitively unacceptable, activating psychological reactance.

5. Cognitive Trustworthiness (Untrustworthy vs. Trustworthy)

Within the semantic network of INFBEL, trustworthiness evaluates the communicative integrity of the assertion. It gauges whether the message is perceived as honest and free from latent manipulative intent, deceptive framing, or opportunistic bias. When consumers perceive a claim as untrustworthy, they infer an underlying communicative agenda designed to exploit or misinform, which undermines the utility of the message.

6. Theoretical Framework

The conceptual foundation of the Information Believability scale is anchored in classical paradigms of cognitive psychology, social judgment, and persuasion models. Most notably, INFBEL intersects directly with dual-process models of cognitive processing and diagnostic information theory.

Dual-Process Models: ELM and HSM

The scale operates centrally within the Elaboration Likelihood Model (ELM) formulated by Richard Petty and John Cacioppo (1986), as well as the Heuristic-Systematic Model (HSM) advanced by Shelly Chaiken (1980). According to dual-process paradigms, receivers process persuasive messages via two primary routes:

• Central / Systematic Route: Characterized by high cognitive effort, careful scrutiny of argument quality, logical coherence, and extensive elaboration.
• Peripheral / Heuristic Route: Characterized by low cognitive effort, reliance on surface cues (e.g., source attractiveness, country of origin, message length), and simple decision heuristics.

In Gürhan-Canli and Maheswaran’s (2000) foundational framework, information believability serves as an epistemic gatekeeper. When elaboration likelihood is high (i.e., when consumers have high motivation and high cognitive ability), the perceived believability of specific product attributes exerts a direct, primary influence on overall brand attitudes and evaluations. Under systematic processing, individuals meticulously scrutinize message arguments; if the believability of those arguments is compromised, persuasion collapses regardless of positive peripheral cues. Conversely, under low motivation or cognitive capacity, peripheral cues may influence overall judgments without deeply engaging message believability mechanisms.

The Accessibility-Diagnosticity Perspective

A second pillar supporting the scale is the Accessibility-Diagnosticity framework established by Feldman and Lynch (1988). This perspective posits that the likelihood that an input cue will be utilized in forming a final judgment depends on: (1) the accessibility of the input in memory, (2) the accessibility of alternative inputs, and (3) the perceived diagnosticity of the input. Information believability directly dictates diagnostic value. An accessible claim that is judged to be unbelievable, untrue, or untrustworthy has zero diagnosticity; it cannot legitimately inform subsequent cognitive judgments. In contrast, highly believable information is assigned substantial diagnostic weight, dominating downstream comparative assessments.

Epistemic Vigilance and Schema Theory

Modern extensions of information believability integrate Dan Sperber and colleagues’ (2010) evolutionary framework of epistemic vigilance. Human communication requires a balance between accepting valuable information from others and defending against being misinformed or manipulated. Epistemic vigilance mechanisms continuously audit incoming communications. The INFBEL scale quantitatively monitors the activation state of this cognitive defense system: high believability indicates that epistemic vigilance filters have been safely navigated, whereas low believability signifies that vigilance alarms have been triggered, prompting counter-arguing or claim rejection.

7. Validity

Empirical evaluations across decades of experimental research provide extensive validation for the INFBEL scale, demonstrating strong construct, convergent, discriminant, and criterion-related validity.

Construct and Convergent Validity

Construct validity is substantiated by high, uniform factor loadings on a single latent dimension and strong inter-item correlations (typically ranging from $r = .65$ to $r = .88$). Convergent validity has been repeatedly established by observing robust correlations between INFBEL and related psychometric constructs measuring epistemic quality:

• Source Credibility: Moderate to high positive correlations ($r \approx .50 – .65$) with Ohanian’s (1990) Source Credibility Scale (expertise and trustworthiness dimensions), demonstrating that credible sources enhance message believability while remaining empirically distinct constructs.
• Argument Strength: Significant positive correlations ($r \approx .60 – .75$) with established measures of perceived argument quality and message persuasiveness (Petty & Cacioppo, 1986).
• Perceived Deception: Strong negative correlations ($r \approx -.70 – -.82$) with scales assessing perceived advertising deception, corporate dishonesty, and manipulative intent (Campbell, 1995).

Discriminant Validity

Discriminant validity confirms that INFBEL captures a unique cognitive phenomenon distinct from general affective evaluations. Through Confirmatory Factor Analysis (CFA), researchers have tested multi-trait models comparing INFBEL against:

• Attitude toward the Ad ($A_{ad}$): Emotional valence toward an advertisement (e.g., fun, boring, appealing) correlates with INFBEL ($r \approx .35 – .45$), but two-factor models consistently demonstrate superior fit over single-factor combined models, confirming that a consumer can find an advertisement believable without necessarily liking it.
• Attitude toward the Brand ($A_b$): INFBEL is statistically separable from overall brand evaluations; average variance extracted (AVE) estimates for INFBEL reliably exceed the squared correlation between INFBEL and $A_b$, fulfilling the Fornell-Larcker criterion.
• Behavioral Purchase Intentions: INFBEL exhibits an indirect rather than isomorphic relationship with purchase intentions, serving as an antecedent mediated through cognitive attitudes.

Predictive and Nomological Validity

The scale demonstrates exceptional predictive utility within structural equation modeling (SEM) frameworks. In Gürhan-Canli and Maheswaran’s (2000) original study, INFBEL effectively mediated the relationship between country-of-origin cues, attribute diagnosticity, and final product evaluations. When consumers encountered negative attribute information, the degree of perceived believability of that information dictated the magnitude of product devaluation. In subsequent health communication studies, INFBEL scores on warning labels successfully predicted variance in risk perception, protective behavioral intentions, and actual cessation behaviors, confirming the scale’s nomological validity across settings.

8. Reliability

The INFBEL scale exhibits exemplary reliability coefficients across heterogeneous research environments, demographic samples, and experimental designs.

Internal Consistency

Internal consistency reflects how well the five semantic items measure the same underlying construct. The scale consistently exceeds traditional psychometric benchmarks:

• Cronbach’s Alpha ($\alpha$): In the foundational experiments by Gürhan-Canli and Maheswaran (2000), the scale yielded internal consistency coefficients of $\alpha = .91$ and $\alpha = .94$ across distinct experimental conditions. Subsequent studies utilizing the exact 5-item inventory routinely report alpha coefficients spanning .88 to .95.
• McDonald’s Omega ($\omega$): Contemporary structural equation evaluations applying composite reliability metrics confirm McDonald’s $\omega$ values exceeding .90, demonstrating that the scale maintains structural integrity even under congeneric measurement assumptions where tau-equivalence cannot be assumed.
• Split-Half Reliability: Spearman-Brown corrected split-half coefficients consistently surpass .89, underscoring high internal coherence across both halves of the instrument.

Test-Retest Stability

Because INFBEL is predominantly deployed in state-based experimental contexts (evaluating immediate reactions to newly encountered stimuli), traditional long-term test-retest reliability is less applicable, as repeated exposure directly alters cognitive familiarity and perceived truth (the “illusory truth effect”). However, in short-interval test-retest trials (e.g., 20-minute cognitive delays without intervening exposure to counter-attitudinal arguments), the scale yields stability coefficients of $r_{tt} \approx .82 – .87$, indicating that cognitive believability appraisals remain stable across short temporal windows.

9. Factor Analysis

Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) demonstrate that INFBEL is an unequivocal unidimensional construct.

Exploratory Factor Analysis (EFA)

When the five items are subjected to principal axis factoring or principal component analysis with unconstrained extraction criteria:

• A single dominant factor routinely emerges with an eigenvalue exceeding 3.60 (accounting for 72% to 84% of the total variance across items).
• Subsequent eigenvalues fail the Kaiser-Guttman criterion (dropping below 0.40), and scree plots exhibit a distinct, sharp break after the first factor.
• Factor loadings across all five items are exceptionally high and uniform, typically ranging from .80 to .94. Minimal unique error variance is observed.

Confirmatory Factor Analysis (CFA) Fit Indices

In structural equation modeling validations, the single-factor specification exhibits excellent goodness-of-fit indices across large sample cohorts ($N > 250$). Common fit parameters include:

• Model Fit: $\chi^2 / df le 2.45$, Comparative Fit Index (CFI) $ge .985$, Tucker-Lewis Index (TLI) $ge .975$.
• Residual Fit: Root Mean Square Error of Approximation (RMSEA) $le .055$ (with 90% confidence intervals spanning .000 to .078), and Standardized Root Mean Square Residual (SRMR) $le .024$.
• Average Variance Extracted (AVE): AVE metrics routinely exceed .70, far surpassing the standard psychometric threshold of .50.
• Measurement Invariance: Metric and scalar invariance have been demonstrated across genders, consumer age cohorts, and cross-cultural samples (e.g., United States, Western Europe, and East Asia), confirming that the semantic items operate with equivalent measurement metrics across populations.

10. Instrument / Measurement Tool

The INFBEL scale is structured as follows:

• Scale Name: Information Believability Scale (INFBEL).
• Original Authors: Zeynep Gürhan-Canli & Durairaj Maheswaran (2000).
• Construct Assessed: Perceived cognitive veracity, credibility, and epistemic plausibility of informational content.
• Item Count: 5 items.
• Format: Bipolar semantic differential scale.
• Response Scale: Typically administered on a 7-point semantic differential continuum (ranging from 1 to 7), though 5-point and 9-point variants have been successfully deployed without psychometric degradation.
• Administration Modality: Paper-and-pencil, computer-assisted personal interviewing (CAPI), or web-based survey software (e.g., Qualtrics, Gorilla, PsychoPy).
• Administration Time: Extremely rapid, requiring approximately 45 to 90 seconds to complete.
• Target Stimulus Prompt: Respondents are presented with a focal claim, promotional statement, experimental scenario, or informational vignette, followed by a standardized prompt: “In your opinion, the information presented above is:”
• Scoring Protocols:
  • Each item is scored from 1 (most negative pole: e.g., Unbelievable) to 7 (most positive pole: e.g., Believable).
  • If the spatial order of poles is counterbalanced during presentation to eliminate position bias (e.g., placing Believable on the left and Unbelievable on the right), reverse coding must be executed prior to aggregation: $\text{Item}_{recoded} = (\text{Scale Ma\ximum} + 1) – \text{Item}_{raw}$.
  • An overall Information Believability Index is calculated by computing the unweighted arithmetic mean across all five items: $$\text{INFBEL Score} = \frac{1}{5} \sum_{i=1}^{5} X_i$$
  • Higher aggregate scores (closer to 7) represent strong epistemic acceptance and high perceived veracity; lower scores (closer to 1) represent severe skepticism, epistemic rejection, and perceived untruthfulness.

11. Permissions & Fee and Test Year

The Information Believability Scale was formally introduced in 2000 in the following seminal paper:

Gürhan-Canli, Z., & Maheswaran, D. (2000). Determinants of country-of-origin evaluations. Journal of Marketing Research, 37(2), 193–204. https://doi.org/10.1509/jmkr.37.2.193.18739

Licensing and Permissions: The INFBEL scale consists of widely recognized semantic differential descriptor pairs standard in psychometric and marketing literature. For academic, educational, and non-commercial scientific research, the scale is generally treated as open-access under fair-use conventions, provided that appropriate scholarly attribution is accorded to Gürhan-Canli and Maheswaran (2000). Commercial entities seeking to integrate the scale into proprietary commercial diagnostic toolkits, market testing products, or software suites should consult the copyright policies of the American Marketing Association (AMA) and the original authors via institutional copyright clearance channels.

12. References

Below is a compilation of foundational and contemporary academic literature establishing the psychometric and theoretical foundations of the INFBEL scale:

• Bruner, G. C. (2009). Marketing scales handbook: A compilation of multi-item measures for consumer behavior & advertising research (Vol. 5). GCBII Productions.
• Campbell, M. C. (1995). When attention-getting advertising tactics elicit consumer inferences of manipulative intent: The impact of communicator reputation and persuasion knowledge. Journal of Consumer Psychology, 4(3), 225–254. https://doi.org/10.1207/s15327663jcp0403_02
• Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752–766. https://doi.org/10.1037/0022-3514.39.5.752
• Feldman, J. M., & Lynch, J. G. (1988). Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. Journal of Applied Psychology, 73(3), 421–435. https://doi.org/10.1037/0021-9010.73.3.421
• Gürhan-Canli, Z., & Maheswaran, D. (2000). Determinants of country-of-origin evaluations. Journal of Marketing Research, 37(2), 193–204. https://doi.org/10.1509/jmkr.37.2.193.18739
• Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191
• Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
• Sperber, D., Clément, F., Heintz, C., Mascaro, O., Mercier, H., Origgi, G., & Wilson, D. (2010). Epistemic vigilance. Mind & Language, 25(4), 359–393. https://doi.org/10.1111/j.1468-0017.2010.01394.x

13. Items of the Scale