The Charity Donation Intention (CDI)<\/strong> scale is a concise, tri-item psychometric instrument engineered to evaluate an individual’s subjective probability and behavioral intention to donate monetary resources to a designated charitable organization or philanthropic appeal. Developed and validated within experimental consumer psychology and advertising research by Hsieh and Yucel-Aybat (2018)<\/a>, the instrument isolates pure monetary prosocial commitments, purposefully distinguishing financial giving from non-monetary prosocial behaviors such as volunteerism, advocacy, or in-kind donations. The measure utilizes a 7-point semantic differential scale<\/a> anchored by subjective probability descriptors: Unlikely\/Likely<\/em>, Improbable\/Probable<\/em>, and Impossible\/Possible<\/em>.<\/p>\n Across multiple empirical investigations examining the intersection of consumer implicit theories (growth vs. fixed mindsets), perceived cause controllability, and message benefit framing, the CDI has demonstrated robust psychometric properties. Internal consistency estimates across independent experimental studies have consistently yielded Cronbach’s alpha<\/a> values exceeding .93 (α > .93), reflecting high item homogeneity and minimal measurement error. Factor analytic procedures confirm a strictly unidimensional latent architecture, with factor loadings uniformly surpassing .90 and demonstrating pronounced convergent, discriminant, and predictive validity in relation to real philanthropic outcomes, perceived message efficacy, and empathetic concern. This article provides a comprehensive academic review of the CDI, detailing its conceptual foundations within the Theory of Planned Behavior<\/a>, psychometric indices, structural validity, administrative procedures, and cross-disciplinary research applications<\/span>.<\/p>\n Charity Donation Intention, CDI, monetary donation, prosocial behavior, Theory of Planned Behavior, philanthropic appeals, implicit mindsets, charitable giving, psychometrics, semantic differential scale, behavioral intention, donor psychology.<\/p>\n The Charity Donation Intention (CDI) scale was operationalized and rigorously validated in peer-reviewed advertising and consumer psychology literature by:<\/p>\n Primary Publication Source:<\/strong> Hsieh, M.-H., & Yucel-Aybat, O. (2018). Persuasive charity appeals for less and more controllable health causes: The roles of implicit mindsets and benefit frames. Journal of Advertising<\/em>, 47(2), 112–126. https:\/\/doi.org\/10.1080\/00913367.2017.1405753<\/a><\/p>\n The primary purpose of the Charity Donation Intention (CDI) scale is to deliver an ultra-brief, psychometrically sound, and highly reliable operationalization of a consumer’s or prospective donor’s conscious, cognitive intention to contribute financial resources to a targeted charitable organization. Within behavioral science, measuring actual behavioral end-points (such as real-time financial transactions) is frequently constrained by laboratory logistics, survey platform limitations, participant financial heterogeneity, and privacy mandates. In accordance with established sociocognitive models, behavioral intentions represent the immediate, most proximal antecedent to volitional behavior. The CDI provides researchers with a calibrated metric that reliably captures this critical psychological threshold.<\/p>\n In empirical and experimental research, the CDI serves as a sensitive dependent variable across various experimental paradigms:<\/p>\n Beyond academic laboratory experiments, the CDI has functional utility in organizational and applied non-profit environments:<\/p>\n The Charity Donation Intention (CDI) scale measures a unidimensional construct situated at the intersection of prosocial behavior<\/a>, donor psychology, and behavioral decision theory: monetary donation intention<\/em>. Intention is conceptualized not as a vague wish or moral aspiration, but as an individual’s subjective assessment of the subjective likelihood, probability, and operational possibility of executing a discrete financial sacrifice for a non-profit entity.<\/p>\n A critical psychometric attribute of the CDI is its exclusive focus on monetary contributions<\/strong> rather than generalized prosociality. Prosocial action encompasses a multifaceted spectrum of behaviors, including physical volunteering, public advocacy, social media sharing, blood donation, and organ donation. Literature consistently demonstrates that the psychological calculus governing financial giving diverges markedly from that governing time or labor commitments (e.g., Mogilner & Aaker, 2009; Liu & Aaker, 2008). Time donations activate emotional meaning, personal identity, and self-actualization motives, whereas monetary donations invoke financial resource trade-offs, mental budgeting constraints, cost-benefit calculations, and economic utility evaluations. By explicitly querying the likelihood of donating money<\/em>, the CDI eliminates construct contamination introduced by non-monetary giving modalities.<\/p>\n The three items of the CDI approach subjective behavioral probability through three subtly differentiated cognitive lenses:<\/p>\n When combined, these three items form a coherent construct capturing the full cognitive continuum of donor behavioral readiness.<\/p>\n The conceptual architecture of the Charity Donation Intention scale is rooted in foundational theories of human decision-making, social cognition, and persuasive communication.<\/p>\n The primary theoretical foundation of the CDI is Icek Ajzen’s<\/a> (1991) Theory of Planned Behavior<\/strong>. According to the TPB, human action is guided by three types of considerations: behavioral beliefs (attitudes toward the behavior), normative beliefs (subjective norms), and control beliefs (perceived behavioral control). These three constructs converge to produce an intention<\/em>, which represents the most proximal cognitive precursor to actual behavioral performance:<\/p>\n Ajzen established that intention serves as a critical proxy for behavior whenever the behavior is under volitional control and measured with high specificity regarding target, action, context, and time (TACT principle). The CDI adheres strictly to the TACT principle by specifying the target (the charity featured), the action (donating), the resource (money), and the context (the presented appeal).<\/p>\n In the seminal research by Hsieh and Yucel-Aybat (2018), the CDI was employed to illuminate Carol Dweck’s<\/a> Implicit Mindset Theory<\/strong> within prosocial contexts. Individuals hold implicit lay beliefs regarding the malleability of human traits: entity theorists<\/em> believe traits (intelligence, moral character, health vulnerability) are fixed and unchangeable, whereas incremental theorists<\/em> believe traits are malleable and capable of developmental growth. Hsieh and Yucel-Aybat demonstrated that the impact of implicit theories on donation intentions is moderated by perceived cause controllability:<\/p>\n The CDI also intersects with Bernard Weiner’s Attribution Theory<\/a> of motivation and emotion. Attribution theory posits that observers assign causal responsibility for an individual’s misfortune. If victims are perceived as responsible for their predicament (high personal controllability), observers experience less sympathy, more anger, and report reduced intentions to help financially. Conversely, when misfortune is attributed to external, uncontrollable systemic factors, empathetic arousal peaks, driving higher scores on the CDI.<\/p>\n The Charity Donation Intention scale has demonstrated exemplary psychometric validity across experimental paradigms, laboratory trials, and online field contexts.<\/p>\n Construct validity is substantiated by high inter-item correlations (typically ranging between r<\/em> = .80 and r<\/em> = .92, p<\/em> < .001) among the three semantic differential items, indicating that “likely,” “probable,” and “possible” tap into the exact same underlying latent construct. Furthermore, convergent validity has been established through strong, statistically significant correlations with established allied constructs<\/span>:<\/p>\n Discriminant validity has been demonstrated via Average Variance Extracted (AVE) and confirmatory factor analytic modeling. In structural equation models containing related but conceptually distinct prosocial constructs, the AVE for the CDI consistently exceeds .80, well above the .50 benchmark recommended by Fornell and Larcker (1981). Moreover, the shared variance between the CDI and constructs such as volunteer intention, non-monetary word-of-mouth advocacy, or baseline chronic guilt remains substantially lower than the AVE of the CDI itself, verifying that monetary donation intention is psychometrically distinct from general prosocial goodwill or non-monetary volunteer commitments.<\/p>\n Predictive validity is confirmed by the scale’s capacity to detect subtle shifts in donor willingness under varying experimental manipulations. In Hsieh and Yucel-Aybat (2018), the CDI exhibited sensitive, statistically significant variations across experimental treatments involving manipulated benefit frames (self vs. other) and measured implicit mindsets (fixed vs. growth). Furthermore, validation studies incorporating behavioral choice paradigms (e.g., providing participants with an actual bonus compensation lottery and allowing them to pledge real cents or dollars to the featured charity) show that CDI scores predict actual monetary allocation with strong correlation coefficients ($r = .52$<\/span> to $.64$<\/span>, p<\/em> < .001<\/span>), validating its utility as a robust surrogate for real financial behavior.<\/p>\n The Charity Donation Intention scale displays exceptional internal consistency and measurement precision despite its concise, three-item structure.<\/p>\n In psychometric measurement, an internal consistency coefficient above .70 is considered acceptable for exploratory research, .80 is regarded as good, and .90 or above is categorized as excellent. In the foundational validation studies by Hsieh and Yucel-Aybat (2018), the CDI was administered across three separate empirical investigations involving distinct charitable contexts, health conditions (e.g., controllable vs. uncontrollable illnesses), and participant cohorts. Across all three studies, the scale exhibited extraordinary reliability:<\/p>\n Subsequent independent studies employing this exact tri-item semantic differential configuration have reported consistent Cronbach’s alpha and McDonald’s omega (ω) coefficients consistently falling between .91 and .96, indicating that the scale is essentially free from random item-specific measurement noise.<\/p>\n Composite reliability (CR) values calculated within structural equation modeling frameworks uniformly exceed .93, well above standard methodological thresholds (Bagozzi & Yi, 1988). Corrected item-to-total correlations for each of the three items routinely surpass .85, demonstrating that no single item compromises or disproportionately skews the overall scale index.<\/p>\n Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) provide unequivocal support for the strictly unidimensional structural configuration of the Charity Donation Intention scale.<\/p>\n When subjected to EFA using principal axis factoring or maximum likelihood extraction without rotation, the three items consistently collapse into a single dominant factor possessing an eigenvalue substantially exceeding 2.50 (accounting for 85% to 92% of the total variance across datasets). Item factor loadings are exceptionally strong and uniform:<\/p>\n2. Keywords<\/h2>\n
3. Authors<\/h2>\n
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4. Purpose<\/h2>\n
Research Applications<\/h3>\n
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Applied and Non-Profit Settings<\/h3>\n
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5. Psychological Construct<\/h2>\n
Monetary Specificity vs. Generalized Prosociality<\/h3>\n
Deconstruction of Tri-Item Semantics<\/h3>\n
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6. Theoretical Framework<\/h2>\n
The Theory of Planned Behavior (TPB)<\/h3>\n
\n Attitude toward Behavior + Subjective Norms + Perceived Behavioral Control → Behavioral Intention → Actual Behavior<\/em>\n<\/div>\nImplicit Mindset Theory (Dweck)<\/h3>\n
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Attribution Theory and Moral Framing<\/h3>\n
7. Validity<\/h2>\n
Construct and Convergent Validity<\/h3>\n
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Discriminant Validity<\/h3>\n
Predictive and Criterion Validity<\/h3>\n
8. Reliability<\/h2>\n
Internal Consistency (Cronbach’s Alpha)<\/h3>\n
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Composite Reliability and Item-Total Statistics<\/h3>\n
9. Factor Analysis<\/h2>\n
Exploratory Factor Analysis (EFA)<\/h3>\n