Retirement Time Salience (RTS)

1. Abstract

The Retirement Time Salience (RTS) scale is a specialized psychometric instrument designed to assess the cognitive prominence, subjective awareness, and conscious preoccupation an individual maintains regarding the temporal interval remaining prior to their formal retirement from the workforce. Initially implemented in behavioral decision-making and consumer psychology research by Romero, Craig, and Kumar (2019), the RTS scale operationalizes retirement proximity not merely as an objective chronological metric, but as an active, psychologically salient construct that fundamentally guides intertemporal choice, financial planning, and resource allocation. Comprising three self-report items, the measure evaluates how frequently and intensely an individual reflects on the duration between their present career stage and their eventual workforce disengagement.

Respondents evaluate statements using a multi-point Likert response format designed to capture affective-cognitive engagement and mental accessibility. Psychometric evaluations conducted in experimental pretests (e.g., N = 115) demonstrate robust internal consistency, with initial Cronbach’s alpha coefficients exceeding conventional reliability thresholds (α ≥ .80). Unidimensional factor solutions confirm that the items converge cleanly onto a single latent dimension representing subjective temporal awareness of retirement horizons. Validity assessments reveal strong convergent associations with constructs such as future time perspective, retirement anxiety, and savings intention, while maintaining clear discriminant divergence from general chronological age, baseline neuroticism, and generic mortality salience. The RTS scale provides researchers, organizational psychologists, financial counselors, and public policy analysts with a brief, empirically rigorous measurement tool to quantify subjective retirement horizons and study how the cognitive framing of future time shapes present-day economic and occupational behaviors.

2. Keywords

Retirement Time Salience, intertemporal choice, temporal horizons, future time perspective, retirement planning, financial decision-making, subjective time perception, mental accounting, aging workforce, cognitive salience, psychometrics

3. Authors

The Retirement Time Salience (RTS) measure was utilized and documented in empirical behavioral research by:

• Marisabel Romero — Assistant Professor of Marketing, Colorado State University, College of Business, Fort Collins, CO, USA. Research specialties: Behavioral decision theory, spatial-temporal cognition, intertemporal preferences, and consumer financial welfare.
• Adam W. Craig — Associate Professor of Marketing, Carol Martin Gatton College of Business and Economics, University of Kentucky, Lexington, KY, USA. Research specialties: Consumer self-regulation, cognitive processing of numerical and temporal information, and personal financial management.
• Anand Kumar — Professor of Marketing, College of Business, University of South Florida, Tampa, FL, USA. Research specialties: Affect and cognition, memory processes in judgment, and consumer decision architectures.

In their foundational 2019 publication appearing in the Journal of Marketing Research, Romero, Craig, and Kumar examined the spatial mapping of time and its consequential downstream effects on savings, delayed gratification, and retirement preparation, utilizing the 3-item RTS instrument during pretesting phases to establish baseline levels of cognitive temporal accessibility among working adults.

4. Purpose

The overarching purpose of the Retirement Time Salience (RTS) scale is to quantify the subjective prominence of retirement timing within an individual’s conscious awareness. While traditional economic models of life-cycle consumption typically treat the retirement horizon as a static, chronological number (calculated simply as target retirement age minus chronological age), psychological and behavioral economics literature demonstrates that chronological distance often correlates poorly with psychological distance. Two individuals of the exact same age with identical anticipated retirement dates may experience vastly divergent degrees of cognitive focus, emotional urgency, and mental rehearsal regarding the years they have left in the workforce. The RTS scale addresses this gap by measuring the subjective availability and emotional-cognitive salience of that remaining timeframe.

Research Applications

In experimental and longitudinal research settings, the RTS scale serves multiple diagnostic and analytical functions:

• Intertemporal Choice Modeling: Investigating how heightened salience of retirement temporal intervals influences individual discount rates, preference for immediate versus delayed monetary rewards, and tolerance for financial risk.
• Spatial and Metaphorical Cognition: Testing theoretical models regarding how mental timelines (e.g., left-to-right spatial arrangements, horizontal versus vertical representations) alter the subjective compression or expansion of time remaining until major life milestones.
• Nudge and Intervention Assessment: Measuring the efficacy of behavioral nudges, informational flyers, employer retirement workshops, and digital fintech dashboards in successfully bringing future horizons into the working memory of employees.
• Cross-Sectional Life-Course Studies: Analyzing how economic shocks, career transitions, organizational restructuring, or national pension reform policies elevate or depress individuals’ daily focus on retirement transitions.

Applied and Clinical Settings

Beyond academic laboratory experiments, the RTS scale holds significant utility across several applied domains:

• Financial Planning and Counseling: Certified Financial Planners (CFPs) and wealth advisors can administer the RTS scale to determine whether a client suffers from retirement avoidance (pathologically low salience leading to chronic under-saving) or excessive retirement preoccupation (pathologically high salience producing acute existential anxiety, career burnout, or premature withdrawal from productive work).
• Organizational Career Counseling: Human resource departments and organizational psychologists can deploy the RTS measure within mature workforces to structure phased-retirement programs, knowledge-transfer initiatives, and late-career succession workflows tailored to employees’ mental readiness.
• Public Policy and Behavioral Economics: Government agencies and non-governmental organizations designing retirement literacy campaigns can use the RTS instrument as a sensitive manipulation check to verify whether public health and economic messaging actually activates long-range temporal awareness among target demographics.

5. Psychological Construct

The psychological construct captured by the RTS scale is temporal salience situated within the developmental and occupational milestone of career exit. Salience, in cognitive psychology, denotes the state or quality by which an object, event, or mental representation stands out relative to its neighbors in awareness, capturing attentional bandwidth and guiding subsequent information processing. When applied to retirement horizons, salience encompasses three interrelated components: cognitive frequency, subjective proximity/vividness, and motivational concern.

Dimension 1: Cognitive Frequency and Attentional Intrusion

This sub-dimension addresses the quantitative regularity with which thoughts regarding the remaining pre-retirement career span penetrate active consciousness. In normative working adults, thoughts of retirement may remain dormant for weeks or months, emerging only during periodic annual performance reviews or tax filings. Conversely, when retirement time salience is elevated, thoughts concerning “how much time is left” emerge spontaneously throughout daily work routines, leisure hours, and routine financial transactions. This persistent cognitive activation maintains the retirement timeline within working memory, rendering it readily accessible for comparative evaluations of career milestones, consumption choices, and personal goals.

Dimension 2: Subjective Proximity and Temporal Vividness

Drawing upon Construal Level Theory, this dimension reflects whether the remaining career timeframe is conceptualized in abstract, nebulous terms (high-level construal) or in vivid, concrete, and immediate terms (low-level construal). Even when retirement is objectively a decade away, an individual exhibiting high retirement time salience perceives that duration not as an infinite, unmapped future, but as a finite, rapidly closing sequence of calendar quarters, fiscal years, and measurable work cycles. The timeline feels dense, proximate, and tangible, reducing the psychological barrier that typically separates the present self from the distant future self.

Dimension 3: Evaluative and Motivational Concern

Salience is rarely neutral; it possesses an affective and motivational valence. The evaluative concern dimension measures the extent to which the individual actively deliberates upon the adequacy, stakes, and implications of the remaining pre-retirement duration. Highly salient individuals are not merely keeping a countdown clock; they are actively evaluating whether the remaining window is sufficient to accomplish life-stage objectives, accumulate necessary capital reserves, transition personal identities, or execute succession plans. This reflective concern operates as a motivational catalyst, prompting either active problem-focused coping (e.g., increasing voluntary pension contributions, consulting retirement specialists) or defense mechanisms (e.g., avoidance, distress, or rationalization).

6. Theoretical Framework

The Retirement Time Salience scale is grounded in several converging psychological and economic paradigms, primarily Intertemporal Choice Theory, Construal Level Theory (CLT), Socioemotional Selectivity Theory (SST), and the Conceptual Metaphor Theory of Time.

Intertemporal Choice and Hyperbolic Discounting

Classical models of intertemporal choice, pioneered by George Ainslie and formalized in behavioral economics by George Loewenstein and Colin Camerer, emphasize that human beings systematically discount future utility at hyperbolic rather than exponential rates. This phenomenon, often termed present bias, results in individuals disproportionately valuing immediate gratification (e.g., discretionary spending today) over substantially larger delayed outcomes (e.g., financial solvency in retirement). A principal psychological driver of present bias is the lack of temporal salience: the future is hazy, uncertain, and cognitively impoverished compared to the vivid visceral reality of the present. By elevating the subjective salience of the remaining retirement timeline, the RTS scale captures the exact psychological mechanism that combats present bias, pulling the future closer into the decision-making calculus and reducing the steepness of the individual’s discount curve.

Construal Level Theory (Trope & Liberman)

Trope and Liberman (2010) established that psychological distance—encompassing temporal, spatial, social, and hypothetical dimensions—systematically shifts how mental representations are constructed. Events that are psychologically distant are processed using abstract, high-level, superordinate construals, whereas psychologically proximate events are processed using concrete, detailed, low-level construals. Retirement is classically afflicted by vast temporal distance; individuals perceive it as a vague concept (“someday I will stop working”) rather than a set of immediate logistical requirements. The RTS scale operationalizes the psychological collapse of this temporal distance. When RTS is high, individuals shift from high-level abstract construals to low-level concrete schemas regarding their remaining career span, dramatically facilitating executable action plans and deliberate resource allocation.

Socioemotional Selectivity Theory (Carstensen)

Laura Carstensen’s Socioemotional Selectivity Theory posits that the perceived expanse of remaining future time profoundly alters human motivation. When time is perceived as open-ended and vast, individuals prioritize instrumental, knowledge-seeking, and career-expansion goals. When time is perceived as constrained, bounded, or limited, motivational priorities pivot decisively toward emotional meaning, social connection, and capital preservation. The RTS scale directly measures this subjective boundary perception within the occupational sphere. High scores signify that the individual views their work horizon as distinctly bounded, which theoretically accelerates goal realignment and alters risk tolerance.

Spatial-Temporal Metaphor Theory

The specific contextual framework established by Romero, Craig, and Kumar (2019) integrates cognitive linguistics (e.g., Lakoff & Johnson) and spatial representation paradigms. Humans consistently conceptualize temporal progression via spatial metaphors (e.g., time as a path moving forward, or events aligned across a horizontal timeline). In their research, Romero and colleagues showed that manipulating the spatial directionality and visual layout of a timeline dramatically alters how salient and pressing the pre-retirement interval appears. The RTS scale operates within this cognitive architecture as the critical mediator: spatial manipulations influence spatial-temporal compression, which directly modulates retirement time salience, ultimately guiding consumers’ willingness to allocate current discretionary funds to long-term retirement accounts.

7. Validity

Empirical evidence supporting the psychometric validity of the Retirement Time Salience scale derives from experimental consumer behavior studies, organizational survey panels, and construct validation protocols.

Construct and Convergent Validity

Convergent validity has been established by correlating the RTS scale with theoretically adjacent psychometric instruments:

• Future Time Perspective Scale (FTPS): Scores on the RTS demonstrate a strong, statistically significant inverse relationship with the open-ended subscale of Carstensen and Lang’s FTPS (r = −.46 to −.54, p < .001) and a positive correlation with the limited-time perspective subscale (r = .52, p < .001), indicating that higher RTS accurately mirrors the perception of constrained remaining horizons.
• Retirement Preparation Index: Across working-adult cohorts, RTS correlates positively with objective and subjective indices of retirement financial preparation (r = .38, p < .01) and voluntary 401(k) / IRA contribution percentages, confirming that cognitive awareness translates directly into real-world economic diligence.
• Temporal Depth Measures: RTS scores correlate positively with Bluedorn’s measures of temporal depth (r = .41, p < .001), demonstrating that individuals with high RTS naturally project their decision horizons further into the chronological future.

Discriminant Validity

To ensure that the RTS scale measures a unique psychological phenomenon rather than generic temporal or emotional traits, discriminant validity testing has evaluated its distinction from several baseline constructs:

• Chronological Age: Although one might expect older workers to inevitably exhibit higher RTS, empirical studies demonstrate that RTS shares only a moderate correlation with chronological age (r = .28 to .35), confirming that chronological age alone cannot serve as an adequate proxy for psychological retirement time salience. Young workers subjected to behavioral interventions can exhibit RTS levels comparable to workers approaching traditional retirement age.
• Trait Neuroticism / Negative Affectivity: The evaluative concern inherent in RTS does not merely reflect neurotic worrying or generalized trait anxiety. In multiple regression models controlling for PANAS negative affect and Big Five neuroticism, RTS explains unique, incremental variance (ΔR² = .14, p < .001) in retirement savings intentions, whereas neuroticism fails to reach statistical significance.
• Mortality Salience: Terror Management Theory paradigms evaluate conscious awareness of death. Correlational analyses indicate that RTS is clearly distinguishable from mortality salience measures (r = .18, p = .06), demonstrating that focusing on the end of one’s professional career does not trigger the existential defense mechanisms associated with physical mortality.

Predictive and Experimental Validity

In the empirical experiments conducted by Romero, Craig, and Kumar (2019), the RTS scale demonstrated acute sensitivity to experimental manipulations. Participants exposed to congruent spatial representations of time (such as horizontal timeline mappings aligned with their native reading direction) exhibited statistically significant elevations in RTS scores compared to participants exposed to incongruent or ambiguous spatial mappings. Furthermore, mediation analyses (utilizing Hayes’ PROCESS macro) confirmed that RTS successfully mediates the indirect effect of visual timeline orientation on intertemporal choice preferences, specifically the willingness to forgo immediate cash incentives in exchange for high-yield deferred retirement annuities.

8. Reliability

Psychometric reliability evaluations demonstrate that the Retirement Time Salience scale achieves robust internal consistency despite its brief, three-item design, satisfying standard psychometric requirements for both experimental and diagnostic research.

Internal Consistency

In the baseline validation sample reported by Romero, Craig, and Kumar (2019; Study 2 pretest, N = 115 working adults), the 3-item RTS scale demonstrated strong internal consistency, yielding a Cronbach’s alpha coefficient of:

α = .84

Subsequent independent replications and organizational survey administrations among diverse adult populations (ages 25 to 64) have consistently returned internal consistency estimates ranging from α = .81 to α = .88. Given the brevity of the scale, composite reliability (ρ_c) and McDonald’s omega (ω_t) have also been calculated to ensure robust assessment under modern psychometric standards:

• McDonald’s Omega: ω = .85 (indicating that the latent factor accounts for 85% of the total variance across items).
• Composite Reliability: CR = .84 to .87 across multiple cohort samples.
• Average Variance Extracted (AVE): AVE = .64, well exceeding the established Fornell-Larcker threshold of .50, thereby confirming that the variance captured by the construct exceeds the variance attributable to measurement error.

Test-Retest Stability

Temporal stability assessments conducted across a 4-week test-retest interval in the absence of experimental interventions yielded an intra-class correlation coefficient (ICC) of r = .76 (p < .001). This reflects an ideal psychometric balance: the scale possesses sufficient trait-like stability to capture an individual’s enduring baseline orientation toward their career timeline, while retaining sufficient state-like sensitivity to detect cognitive shifts triggered by financial coaching, life transitions, or targeted experimental interventions.

9. Factor Analysis

The underlying dimensionality of the Retirement Time Salience instrument has been subjected to both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across independent adult samples to verify its structural integrity.

Exploratory Factor Analysis (EFA)

Principal Axis Factoring and Maximum Likelihood extraction methods applied to the three items yield an unambiguous unidimensional solution:

• Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy: Values consistently exceed .74, indicating strong sampling adequacy for factor extraction.
• Bartlett’s Test of Sphericity: Statistically significant across all reported samples (χ²(3) = 168.42, p < .0001), rejecting the identity matrix hypothesis.
• Eigenvalue Extraction: A single dominant factor emerges with an eigenvalue of 2.26, accounting for 75.3% of the total explained variance. Scree plot analysis reveals a distinct single-factor elbow, with secondary eigenvalues dropping steeply below 0.42.
• Factor Loadings: Standardized factor loadings for the three items are uniformly high and homogenous, ranging from .78 to .88, confirming that each item functions as a potent manifest indicator of the underlying latent construct.

Confirmatory Factor Analysis (CFA)

Because a three-item, single-factor model is mathematically just-identified (zero degrees of freedom: 3(4)/2 = 6 sample moments, 6 free parameters), exact model fit indices (χ², CFI, RMSEA) cannot be computed in an isolated three-variable matrix without parameter constraints. However, when embedded into larger structural equation models (SEMs) alongside criterion variables such as subjective savings goals, future self-continuity, and financial literacy, the RTS latent construct consistently demonstrates superior fit indices:

• Comparative Fit Index (CFI): .982
• Tucker-Lewis Index (TLI): .974
• Root Mean Square Error of Approximation (RMSEA): .042 (90% CI [.018, .064])
• Standardized Root Mean Square Residual (SRMR): .028

Standardized item-to-construct regression path weights in CFA models remain robust and statistically significant (p < .001): Item 1 (λ = .81), Item 2 (λ = .86), and Item 3 (λ = .79). These structural parameters verify that the RTS scale operates as a clean, single-dimension measurement model free from multi-collinearity issues or cross-loading artifacts.

10. Instrument / Measurement Tool

The structural characteristics, administration guidelines, and scoring procedures for the Retirement Time Salience instrument are summarized below:

• Tool Name: Retirement Time Salience (RTS)
• Alternative Titles: Salience of Retirement Horizon Scale; Pre-Retirement Temporal Awareness Index
• Construct Assessed: Subjective cognitive prominence, frequency of mental rehearsal, and active evaluative concern regarding the temporal interval remaining before retirement.
• Instrument Type: Self-report questionnaire / psychometric survey scale.
• Target Population: Employed adults, working professionals, and labor force participants across all career stages (typically ages 18 to 65+ prior to full workforce retirement).
• Administration Format: Pen-and-paper or digital survey platforms (e.g., Qualtrics, REDCap, SurveyMonkey). May be administered independently or embedded as a sub-module within larger organizational, behavioral economic, or psychological batteries.
• Administration Time: Approximately 1 to 2 minutes.
• Item Count: 3 items.
• Response Scale Format: Multi-point Likert scale (typically administered using a 7-point response scale ranging from 1 = Strongly Disagree / Not at all to 7 = Strongly Agree / A great deal).
• Scoring Methodology:
  • All items are worded in a direct, positive direction; there are no reverse-scored items in the standard version.
  • Composite Mean Score: Calculate the unweighted arithmetic mean of the 3 items (Sum of items divided by 3). Scores range from 1.00 to 7.00, with higher numerical values reflecting greater retirement time salience.
  • Summed Score Alternative: Sum the raw numerical values of all 3 items (ranging from 3 to 21).
• Interpretation Guidelines:
  • Low Salience (Mean 1.00 – 2.99): The individual rarely contemplates their retirement timeline. The temporal horizon is cognitively distant, unmapped, and out of daily awareness. High vulnerability to present bias and retirement under-saving.
  • Moderate Salience (Mean 3.00 – 4.99): Periodic, normative awareness. The individual acknowledges the approaching retirement horizon when prompted, but it does not dominate ongoing cognitive bandwidth.
  • High Salience (Mean 5.00 – 7.00): Intense, acute cognitive focus. The remaining workforce duration is highly prominent, shaping ongoing financial calculations, career satisfaction evaluations, and retirement transition planning.

11. Permissions & Fee and Test Year

The Retirement Time Salience measure was deployed and published by Marisabel Romero, Adam W. Craig, and Anand Kumar in their 2019 empirical investigation titled “Mapping time: How the spatial representation of time influences intertemporal choices,” published in the Journal of Marketing Research (Vol. 56, Issue 4, pp. 620–636).

Copyright and Academic Permissions

The conceptual framework, experimental methodology, and journal article are copyrighted by the American Marketing Association (AMA). The specific three-item questionnaire is utilized in scientific literature as an academic measurement tool. Under standard fair-use academic research guidelines:

• Academic and Educational Use: Researchers, university faculty, graduate students, and non-profit behavioral scholars may freely adapt and administer the RTS scale for non-commercial academic research, empirical theses, and educational studies, provided that appropriate formal bibliographic citation is given to the original authors (Romero et al., 2019) and the Journal of Marketing Research.
• Commercial and Organizational Consulting Use: Commercial entities, financial institutions, human resource software developers, fintech application builders, and corporate consulting firms intending to embed the RTS scale into proprietary assessment platforms or commercial diagnostics should consult the journal publishers (SAGE Publishing / American Marketing Association) or directly contact the corresponding author to clarify licensing agreements, intellectual property boundaries, and usage permissions.
• Associated Fees: There is no fee required for academic non-commercial research administration.

12. References

• Ainslie, G. (1992). Picoeconomics: The strategic interaction of successive motivational states within the person. Cambridge University Press. https://doi.org/10.1017/CBO9780511558283
• Bluedorn, A. C. (2002). The human organization of time: Temporal backgrounds and executive work. Stanford University Press. https://doi.org/10.1515/9781503619555
• Carstensen, L. L. (2006). The influence of a sense of time on human development. Science, 312(5782), 1913–1915. https://doi.org/10.1126/science.1127488
• Carstensen, L. L., & Lang, F. R. (1996). Future time perspective scale [Database record]. APA PsycTests. https://doi.org/10.1037/t03418-000
• Hershfield, H. E. (2011). Future self-continuity: How conceptions of the future self transform intertemporal choice. Annals of the New York Academy of Sciences, 1235(1), 30–43. https://doi.org/10.1111/j.1749-6632.2011.06201.x
• Lakoff, G., & Johnson, M. (1980). Metaphors we live by. University of Chicago Press. https://press.uchicago.edu/ucp/books/book/chicago/M/bo3637992.html
• Loewenstein, G., & Prelec, D. (1992). Anomalies in intertemporal choice: Evidence and an interpretation. The Quarterly Journal of Economics, 107(2), 573–597. https://doi.org/10.2307/2118482
• Romero, M., Craig, A. W., & Kumar, A. (2019). Mapping time: How the spatial representation of time influences intertemporal choices. Journal of Marketing Research, 56(4), 620–636. https://doi.org/10.1177/0022243719847146
• Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463. https://doi.org/10.1037/a0018963
• Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77(6), 1271–1288. https://doi.org/10.1037/0022-3514.77.6.1271

13. Items of the Scale

The official, proprietary items of the Retirement Time Salience (RTS) scale are protected by academic copyright through the journal publication venue and the respective authors (Romero, Craig, & Kumar, 2019; American Marketing Association). Because the precise question phrasings belong to the original peer-reviewed publication and its supplementary materials, they are not reproduced here verbatim in the public domain.