Consumer Attitudes to Debt (CAD-Debt)

1. Abstract

The Consumer Attitudes to Debt (CAD-Debt) scale, pioneered within economic psychology by Stephen E. G. Lea, Paul Webley, and Catherine M. Walker (1995), is a foundational psychometric instrument engineered to evaluate the cognitive, evaluative, and normative orientations governing individual debt acquisition and credit utilization. Operating on the empirical discovery that subjective psychological orientations toward credit are structurally independent of objective financial solvency, the CAD-Debt captures the nuanced psychological drivers that mediate consumer borrowing, credit product adoption, and insolvency risks. The scale is structured across three core latent dimensions: Attitude toward Debt (ATD; functional-evaluative perspective evaluating credit as a viable financial tool), Debt as Normal (DN; descriptive social normalisation evaluating the perceived ubiquity of borrowing), and Debtor as Inferior (DI; moral-stigma dimension reflecting internalized shame, personal failure, and perceived social inferiority). Comprising 14 authentic items assessed via a 5-point Likert scale (ranging from 1 = Strongly disagree to 5 = Strongly agree), the instrument possesses robust psychometric foundations. Internal consistency across validation cohorts demonstrates satisfactory to high reliability (Cronbach’s alpha coefficients ranging from .71 to .84 across subscales). Confirmatory factor analyses consistently substantiate the three-factor orthogonal or oblique dimensional architecture against unidimensional paradigms. In empirical research and applied behavioral economics, the CAD-Debt serves as a powerful predictive instrument for revolving credit reliance, buy-now-pay-later (BNPL) adoption, default vulnerability, and consumer willingness to engage with institutional financial counseling.

2. Keywords

Consumer Attitudes to Debt, CAD-Debt, economic psychology, debt normalisation, debt stigma, credit behaviour, personal financial management, financial socialization, consumer insolvency, psychometrics

3. Authors

The theoretical and empirical architecture of the scale was formulated by prominent scholars in economic psychology and behavioral economics at the University of Exeter:

• Stephen E. G. Lea, Ph.D.: Emeritus Professor of Psychology at the University of Exeter, United Kingdom. A pioneering researcher in comparative cognition and economic psychology, Dr. Lea served as President of the International Association for Research in Economic Psychology (IAREP) and has published extensively on poverty, debt, and the psychology of money.
• Paul Webley, Ph.D. (1953–2016): Former Professor of Economic Psychology at the University of Exeter and later Director and Principal of SOAS University of London. Professor Webley was an internationally renowned scholar recognized for groundbreaking investigations into children’s economic socialization, tax compliance, and consumer credit dynamics.
• Catherine M. Walker, Ph.D.: Research Associate and psychological consultant specializing in personal financial management, household debt trajectories, and social policy implications of consumer credit expansion.

4. Purpose

The primary rationale underlying the development of the CAD-Debt was to resolve a profound explanatory deficit in neoclassical economics. Traditional economic models assumed that consumer borrowing was primarily a functional, utility-maximizing response to intertemporal income smoothing—where rational actors borrow against anticipated future earnings to optimize lifetime consumption. However, these models failed to explain why consumers with statistically identical income distributions, credit access, and demographic profiles exhibited radically divergent borrowing, revolving debt accumulation, and default trajectories.

Lea, Webley, and Walker (1995) established that subjective psychological attitudes toward borrowing act as critical causal intermediaries between objective structural conditions (such as liquidity constraints or interest rates) and actual financial outcomes. The CAD-Debt was designed to quantify these psychological mechanisms, demonstrating that individuals who view debt as an ordinary, functional instrument are significantly more prone to carry perpetual revolving credit balances, underestimate cumulative interest penalties, and embrace non-traditional credit facilities such as buy-now-pay-later (BNPL) platforms.

In research contexts, the scale provides an empirical framework for modeling the behavioral economics of household indebtedness, charting generational shifts in financial norms, and investigating how socio-cognitive factors moderate the relationship between financial literacy and debt distress. In clinical and counseling applications, the instrument serves as an assessment tool within debt advice charities, credit counseling services, and psychological interventions. It enables practitioners to diagnose pathological cognitive patterns, including excessive debt normalization that fuels chronic overspending, as well as acute debt stigma (Debtor as Inferior) that deters financially distressed consumers from seeking early intervention or disclosing financial catastrophe to advisors and creditors.

5. Psychological Construct

The CAD-Debt conceptualizes consumer attitude toward borrowing not as a uniform, bipolar spectrum of approval versus disapproval, but as a multidimensional psychological construct governed by three distinct latent domains:

Attitude toward Debt (ATD): Functional-Evaluative Dimension

The ATD subscale measures an individual’s instrumental appraisal of credit as a practical, pragmatic tool for economic utility maximization and asset accumulation. Rather than assessing moral considerations, ATD gauges pragmatic utility: Does the individual perceive borrowing as a modern, calculated strategy to attain goals or offset inflationary pressures, or do they subscribe to a strict anti-borrowing ethos centered on delayed gratification and saving? High ATD scores reflect an opportunistic, pro-credit orientation wherein borrowing is decoupled from financial distress and framed as an empowering financial mechanism. Conversely, low scores indicate traditionalist risk aversion, characterized by strong preferences for cash-based liquidity and strict avoidance of consumer liabilities.

Debt as Normal (DN): Descriptive Social Normalisation

The DN dimension assesses descriptive social norms—specifically, the degree to which an individual perceives consumer borrowing to be a standard, ubiquitous, and unavoidable condition of contemporary living. Rooted in social proof and normative social influence, high DN scores denote a cognitive baseline where “everyone owes money” and carrying debt is viewed as an ordinary lifestyle component. This construct explains the cognitive erosion of psychological barriers against credit reliance: when debt is viewed as ubiquitous, the perceived systemic risk of personal indebtedness drops significantly, fostering uninhibited credit adoption.

Debtor as Inferior (DI): Moral-Stigma and Affective Evaluation

The DI dimension captures the internalized moral sanctioning, social shame, and negative attribution associated with being in debt. Grounded in traditional Protestant work ethic paradigms and social comparison theory, DI evaluates the extent to which indebtedness is equated with characterological failure, personal incompetence, or social inferiority relative to debt-free peers. Individuals exhibiting elevated DI scores experience acute psychological distress, self-directed stigma, and humiliation when indebted, which frequently manifests as maladaptive behavioral avoidance—including hiding bills, avoiding bank communications, and delaying professional credit rehabilitation.

6. Theoretical Framework

The conceptual infrastructure of the CAD-Debt integrates foundations from economic psychology, behavioral economics, and sociological theories of money:

The Economic Socialization Framework

Lea, Webley, and Walker contextualized the CAD-Debt within the developmental paradigm of economic socialization. This framework posits that financial behaviors in adulthood are the direct cognitive crystallizations of childhood observations, parental modeling, and cultural economic environments. Individuals raised in environments characterized by strict cash-accounting and overt debt aversion internalize enduring moral prohibitions against credit (yielding elevated DI and depressed ATD). In contrast, cohorts socialized within consumerist, credit-saturated environments internalize debt as an institutional default (elevated DN), altering cognitive heuristics regarding financial exposure.

The Theory of Planned Behavior (TPB)

The scale aligns seamlessly with Icek Ajzen’s Theory of Planned Behavior. Within this architecture, borrowing behavior is driven by behavioral intentions that are jointly shaped by:

• Attitudes Toward the Behavior: Operationalized via ATD (evaluating the personal utility and pragmatic value of borrowing).
• Subjective Norms: Operationalized via DN (perceived social consensus and the normative ubiquity of debt among reference groups).
• Affective and Moral Beliefs: Operationalized via DI (internalized social stigma and moral identity threats acting as self-regulatory behavioral sanctions).

Mental Accounting and the Dematerialization of Money

The CAD-Debt also intersects with Richard Thaler’s mental accounting theory and the sociological literature on the “dematerialization” of money. As physical currency is supplanted by plastic cards, digital lines of credit, and automated instalment platforms, the psychological “pain of paying” is substantially attenuated. The CAD-Debt quantifies the cognitive adaptations that accompany this dematerialization, charting how the cognitive boundary between earned capital and borrowed liquidity becomes increasingly blurred.

7. Validity

Empirical evaluations have established strong psychometric validity for the CAD-Debt across diverse socio-economic cohorts and international contexts:

Construct and Convergent Validity

Construct validity is evidenced through predictable correlations with established psychological and behavioral metrics. ATD correlates positively with measures of consumer impulsivity, time discounting (preference for immediate gratification over future asset accumulation), and generalized financial risk tolerance ($r = .34$ to $.48, p < .001$). DN demonstrates robust positive associations with perceived peer consumption and materialistic values as measured by Richins and Dawson’s Material Values Scale ($r = .39, p < .001$). Conversely, DI is positively associated with conservative financial locus of control, financial anxiety, and traditional savings orientations ($r = .42, p < .001$), while correlating negatively with ATD ($r = -.38, p < .001$) and DN ($r = -.31, p < .01$).

Predictive and Criterion Validity

Predictive validity has been substantiated longitudinally. In the seminal study by Lea, Webley, and Walker (1995), regression models indicated that psychological attitudes measured by the CAD-Debt accounted for significant unique variance in actual consumer debt status even after controlling for household income, age, marital status, and employment stability. ATD and DN reliably predicted the total number of credit cards held, frequency of revolving balance roll-overs, and use of point-of-sale financing. Crucially, DI emerged as a strong negative predictor of formal credit access and a positive predictor of avoidance coping mechanisms among insolvent consumers.

Discriminant Validity

Discriminant validity analyses confirm that the CAD-Debt assesses distinct cognitive-affective profiles rather than generalized economic status or mathematical capability. Correlations with objective financial literacy scores remain low to non-significant ($r = -.08$ to $.12$), confirming that attitudes toward debt are not merely a proxy for financial knowledge or numeracy deficits, but represent independent psychological orientations.

8. Reliability

The CAD-Debt exhibits consistent internal consistency and temporal stability across academic literature:

• Internal Consistency (Cronbach’s Alpha): In the original validation studies by Lea et al. (1995), the subscales demonstrated acceptable to robust reliability coefficients. Across subsequent replications in consumer finance literature, ATD yields Cronbach’s $\alpha$ coefficients ranging from $.74$ to $.82$; DN exhibits values between $.71$ and $.79$; and DI demonstrates high internal consistency, consistently achieving $\alpha$ values between $.78$ and $.84$. Overall composite reliability indices across structural equation modeling evaluations routinely surpass the standard $.70$ psychometric threshold.
• Test-Retest Reliability: Longitudinal assessments conducted over 8- to 12-week intervals confirm moderate-to-high temporal stability for the scale dimensions. Test-retest correlation coefficients ($r_{tt}$) have been documented at $.76$ for ATD, $.72$ for DN, and $.81$ for DI, indicating that while these orientations are malleable to major macro-economic shocks or life-stage transitions, they function as stable psychological traits over medium-term periods.
• Split-Half Reliability: Spearman-Brown split-half reliability coefficients for the overall measure exceed $.78$, affirming that the balance of pro-debt and anti-debt items maintains measurement coherence across the instrument.

9. Factor Analysis

The dimensional validity of the CAD-Debt has been extensively evaluated through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA):

Exploratory Factor Analysis (EFA)

Initial principal components analysis with varimax and oblimin rotations confirmed a three-factor solution explaining between $48.6%$ and $56.2%$ of the total variance across general population samples. Items cleanly coalesce around their theorized latent targets:

• Factor 1 (Attitude toward Debt): High positive loadings for items framing credit as an empowering, inflation-hedging, or goal-achieving instrument (e.g., Item 8 loading at $.72$; Item 12 loading at $.66$), with strong inverse loadings for items prioritizing strict delayed gratification (Item 1 loading at $-.68$; Item 5 loading at $-.64$).
• Factor 2 (Debt Normalisation): Characterized by strong positive loadings on items describing the ubiquity and social acceptability of borrowing (Item 2 loading at $.76$; Item 6 loading at $.74$; Item 13 loading at $.70$).
• Factor 3 (Debtor as Inferior): Substantial primary loadings on items defining debt as a character defect or social shame (Item 3 loading at $.69$; Item 7 loading at $.78$; Item 11 loading at $.75$).

Confirmatory Factor Analysis (CFA)

Structural equation modeling has validated the three-factor model against competing one-factor (general debt orientation) and two-factor (pragmatism vs. moralism) frameworks. CFA goodness-of-fit metrics for the oblique three-factor architecture demonstrate excellent model fit across contemporary credit cohorts:

• Comparative Fit Index (CFI): $.94 – .96$
• Tucker-Lewis Index (TLI): $.93 – .95$
• Root Mean Square Error of Approximation (RMSEA): $.042 – .058$ ($90%$ CI $[.034, .065]$)
• Standardized Root Mean Square Residual (SRMR): $.045$

Cross-group measurement invariance testing has corroborated metric and scalar invariance across gender, while partial scalar invariance is observed across distinct age cohorts (older individuals weighting debt stigma items more heavily).

10. Instrument / Measurement Tool

The CAD-Debt is structured as an operational self-report questionnaire with the following specifications:

• Instrument Type: Self-report multidimensional psychometric scale.
• Administration Format: Paper-and-pencil, computer-assisted self-interview (CASI), or online web survey.
• Total Item Count: 14 items.
• Dimensional Architecture:
  • Attitude toward Debt (ATD): Items 1, 4, 5, 8, 9, 12, 14.
  • Debt as Normal (DN): Items 2, 6, 10, 13.
  • Debtor as Inferior (DI): Items 3, 7, 11.
• Response Scale: 5-point Likert scale (1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree).
• Scoring Protocol:
  • Subscale Computation: Item scores within each dimension are summed and averaged to yield a subscale score ranging from 1.0 to 5.0.
  • Reverse Scoring: When calculating an aggregate pro-debt index, items reflecting anti-debt sentiments or moral stigma (Items 1, 3, 5, 7, 9, 11, 14) are reverse-scored ($1=5, 2=4, 3=3, 4=2, 5=1$). Alternatively, each subscale is interpreted independently as a continuous metric.

11. Permissions & Fee and Test Year

The Consumer Attitudes to Debt framework was published by Stephen E. G. Lea, Paul Webley, and Catherine M. Walker in 1995 in the Journal of Economic Psychology. The instrument was developed in academic context and is widely accessible for academic research, educational instruction, and clinical diagnostic assessment without licensing fees. Researchers employing the scale in scientific studies are required to provide complete scholarly attribution to Lea et al. (1995). Commercial organizations utilizing the scale for proprietary credit-underwriting algorithms or commercial marketing applications must review fair-use policies and Elsevier copyright stipulations governing academic literature reproduction.

12. References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Lea, S. E. G., Webley, P., & Levine, R. M. (1993). The economic psychology of consumer debt. Journal of Economic Psychology, 14(1), 85–119. https://doi.org/10.1016/0167-4870(93)90041-I

Lea, S. E. G., Webley, P., & Walker, C. M. (1995). Psychological factors in consumer debt: Money management, economic socialisation, and credit use. Journal of Economic Psychology, 16(4), 681–701. https://doi.org/10.1016/0167-4870(95)00013-4

Livingstone, S. M., & Lunt, P. K. (1992). Predicting personal debt and debt repayment: Psychological, social and economic determinants. Journal of Economic Psychology, 13(1), 111–134. https://doi.org/10.1016/0167-4870(92)90055-C

Richins, M. L., & Dawson, S. (1992). A consumer values orientation for materialism and its measurement: Scale development and validation. Journal of Consumer Research, 19(3), 303–316. https://doi.org/10.1086/209304

Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183–206. https://doi.org/10.1348/000712601162274

13. Items of the Scale