Job Application Likelihood (JAL)

Abstract

The Job Application Likelihood (JAL) scale is a psychometric instrument developed by Daniel C. Feldman, William O. Bearden, and David M. Hardesty (2006) to measure an individual’s behavioral intention to pursue employment opportunities following exposure to recruitment communications. Introduced in their seminal study on the effects of message specificity in job advertisements published in the Journal of Advertising, the instrument addresses a critical juncture in the talent acquisition pipeline: the psychological transition from passive information processing to active application behavior. Comprising five unidimensional items, the JAL captures multiple facets of application intent, including general interest, active information-seeking, referral likelihood, document submission intention, and interview pursuit. Evaluated on a 7-point Likert-type scale ranging from 1 (“strongly disagree”) to 7 (“strongly agree”), the instrument yields a single composite score calculated via the arithmetic mean of all items.

Psychometrically, the scale demonstrates exceptional internal consistency, yielding a Cronbach’s alpha coefficient of α = .93 in its original validation study. Subsequent structural equation modeling and confirmatory factor analyses have consistently substantiated its single-factor structure, characterized by high standardized factor loadings (λ > .80 across all items) and robust convergent and discriminant validity relative to broader constructs such as general organizational attractiveness, employer prestige, and ad credibility. The scale has become a foundational measurement tool in organizational psychology, human resource management, and recruitment marketing, enabling researchers and practitioners to systematically evaluate the behavioral efficacy of job advertisement design, employer branding initiatives, and recruitment message variations.

Keywords

Job Application Likelihood, Recruitment Advertising, Applicant Attraction, Behavioral Intentions, Organizational Recruitment, Message Specificity, Psychometrics, Job Search Behavior, Talent Acquisition, Employer Branding, Person-Organization Fit

Authors

The Job Application Likelihood scale was developed and validated through the interdisciplinary collaboration of three prominent scholars in organizational behavior, marketing, and consumer psychology:

• Daniel C. Feldman, Ph.D. — Eminent Scholar Chair Emeritus in Management at the Terry College of Business, University of Georgia, and formerly Distinguished Foundation Professor of Management at the Darla Moore School of Business, University of South Carolina. Dr. Feldman is widely recognized for his pioneering research on organizational socialization, career stages, job search strategies, and underemployment.
• William O. Bearden, Ph.D. — Bank of America Chaired Professor of Marketing Emeritus at the Darla Moore School of Business, University of South Carolina. A leading psychometrician and measurement scholar in consumer research, Dr. Bearden is co-author of the renowned Handbook of Marketing Scales and has contributed extensively to the development of rigorous psychometric standards in behavioral sciences.
• David M. Hardesty, Ph.D. — Carol Martin Gatton Endowed Chair and Professor of Marketing at the Gatton College of Business and Economics, University of Kentucky. Dr. Hardesty specializes in behavioral decision-making, consumer knowledge calibration, and message processing dynamics.

Purpose

The primary purpose of the Job Application Likelihood (JAL) scale is to quantify an individual’s conscious, self-reported intention to initiate formal application actions toward a specific employment vacancy following exposure to job information. In contemporary organizational recruitment, attracting high-caliber human capital begins long before formal interviews take place; it initiates during the prospective applicant’s initial cognitive and affective appraisal of recruitment stimuli, such as printed recruitment flyers, digital job postings, social media advertisements, or corporate career portals.

Prior to the introduction of the JAL, recruitment research frequently relied on generalized measures of “organizational attractiveness” or vague indicators of “company favorability.” While these general attitudinal metrics provide insight into whether an individual holds a positive perception of an employer, they routinely suffer from significant attitude-behavior gaps. A job seeker may perceive a prominent multinational conglomerate as an exceptionally prestigious organization (high organizational attractiveness) while simultaneously maintaining zero intention of submitting an application due to perceived lack of fit, prohibitive geographic constraints, or unappealing day-to-day role characteristics. The JAL was engineered to close this empirical gap by focusing squarely on conative and behavioral outcomes rather than purely affective or cognitive evaluations.

In research contexts, the JAL serves as an essential dependent variable in experimental designs exploring recruitment advertising parameters. Scholars utilize the tool to systematically investigate how variations in advertisement content—such as the specificity of compensation packages, explicit descriptions of job duties, statements regarding organizational culture, diversity initiatives, or corporate social responsibility—influence an individual’s willingness to commit time and effort to the application process. In applied human resource analytics, the scale enables organizations to conduct A/B testing of recruitment copy, career site interfaces, and marketing campaigns, pinpointing which messaging configurations optimize talent attraction and minimize applicant attrition before the initial contact point.

Psychological Construct

The construct measured by the JAL scale is Job Application Likelihood, defined as a prospective candidate’s conative readiness, subjective probability, and behavioral willingness to expend cognitive, temporal, and physical resources to seek formal employment consideration from a specific organization. The construct is conceptualized as unidimensional yet inherently multifaceted in its behavioral expressions.

Dimensions of Application Readiness

Although mathematically modeled as a single factor, the underlying psychological construct integrates five interconnected operational dimensions of job pursuit:

• General Motivational Interest: Item 1 (“I would be very interested in applying for this job”) captures the foundational affective-motivational disposition toward the opportunity. It reflects the candidate’s baseline willingness to categorize the job opening as a viable personal alternative within their consideration set.
• Active Exploratory Search Intention: Item 2 (“I would like to find out more about this job”) measures the intention to engage in preparatory information acquisition. According to career decision models, job seekers rarely apply without seeking supplementary data regarding company benefits, organizational reputation, and working conditions. This item captures that proactive information-seeking threshold.
• Advocacy and Peer Referral: Item 3 (“I would recommend this job to other job seekers”) assesses externalized endorsement. Recommending a position to peers represents a high-conviction cognitive evaluation; individuals place their social capital on the line only when they perceive the position to possess genuine utility and value.
• Direct Instrumental Action: Item 4 (“I would submit my resume for this position”) measures the definitive behavioral threshold of instrumental application. Submitting personal credentials involves tangible vulnerability and operational effort, representing the decisive manifestation of recruitment intention.
• Interactive Commitment: Item 5 (“I would like to schedule an interview with this company”) taps the candidate’s desire for interpersonal engagement and direct evaluation. Expressing willingness to participate in an interview signals deep readiness to enter into formal contractual evaluation.

By blending these five operational facets into a unified metric, the JAL construct transcends simplistic binary measures of interest, offering a granular continuum that captures the full spectrum of pre-application behavioral intent.

Theoretical Framework

The conceptual foundation of the Job Application Likelihood scale rests at the intersection of social cognitive theory, behavioral economics, and organizational communication. Specifically, three prominent theoretical paradigms underpin the instrument’s operational structure:

1. The Theory of Planned Behavior (TPB)

Formulated by Icek Ajzen (1991), the Theory of Planned Behavior posits that the most immediate, proximal determinant of human social behavior is behavioral intention. Intentions are themselves functions of three core components: attitudes toward the behavior, subjective norms, and perceived behavioral control. Within the context of recruitment, an individual’s evaluation of job attributes creates an attitude toward applying, which, combined with societal expectations and perceived competence to secure the job, culminates in application intentions. The JAL serves as the operationalized measurement of this critical behavioral intention construct, functioning as the decisive psychological antecedent to actual application submission.

2. Signaling Theory

Derived from Michael Spence’s (1973) economic work and adapted to recruitment by Sara L. Rynes (1991), Signaling Theory suggests that job applicants typically operate under conditions of substantial information asymmetry. Job seekers possess limited direct knowledge regarding the internal daily realities of an employer. Consequently, they interpret observable recruitment messages as “signals” of unobservable organizational characteristics. Feldman, Bearden, and Hardesty (2006) posited that high-specificity job advertisements convey clearer, more credible signals regarding job demands and organizational credibility, thereby reducing perceived ambiguity and driving higher scores on the Job Application Likelihood scale.

3. The Elaboration Likelihood Model (ELM)

Developed by Richard E. Petty and John Cacioppo (1986), the Elaboration Likelihood Model explains how individuals process persuasive communications through central versus peripheral routes. When job seekers are actively seeking employment, their personal involvement is high, prompting them to process recruitment messages through the central route. Specific, verifiable claims regarding job duties, salary, and requirements stimulate systematic cognitive elaboration. When this elaboration yields favorable cognitive responses, it crystallizes into enduring behavioral commitments, which are directly manifested in elevated JAL responses.

Validity

The Job Application Likelihood scale has undergone rigorous psychometric validation across diverse experimental and field research settings.

Construct and Factorial Validity

In the original validation study by Feldman, Bearden, and Hardesty (2006), the five items demonstrated robust factorial unity. Factor loadings derived from maximum likelihood estimations demonstrated that all five items loaded cleanly onto a single underlying construct, with factor loadings exceeding .82 across all indicators. No cross-loadings or substantial residual covariances were observed, confirming that the scale functions as an unambiguous unidimensional metric.

Convergent and Discriminant Validity

Convergent validity has been repeatedly established through positive correlations with theoretically aligned recruitment constructs. In Feldman et al. (2006), JAL scores exhibited statistically significant positive relationships with perceptions of advertisement specificity, perceived organizational trustworthiness, and job offer favorability (r values typically ranging from .45 to .68, p < .001). Furthermore, the scale converges strongly with established measures of general organizational attractiveness, such as the scales developed by Highhouse, Lievens, and Sinar (2003).

Discriminant validity was established by comparing the average variance extracted (AVE) of the JAL against its shared variance with neighboring constructs. In psychometric evaluations, the AVE of the JAL exceeds .70, comfortably surpassing the conservative .50 threshold established by Fornell and Larcker (1981). The shared variance between the JAL and constructs such as source skepticism, general advertising cynicism, or generalized career anxiety remains consistently low, confirming that the scale measures recruitment-specific behavioral intentions rather than broader personality traits or negative affective states.

Predictive and Ecological Validity

Predictive validity is evidenced by the scale’s ability to forecast actual behavior in experimental and field simulations. In applied hiring studies, candidates scoring in the highest quartile of the JAL scale are significantly more likely to follow up by submitting actual resumes to recruiters, attending informational company webinars, and clicking formal “Apply Now” hyperlinks on automated tracking portals compared to those in lower quartiles.

Reliability

The reliability of the Job Application Likelihood scale is exceptionally high across diverse demographic cohorts, professional domains, and experimental paradigms.

Internal Consistency

In the original empirical investigation by Feldman, Bearden, and Hardesty (2006), the scale achieved a Cronbach’s alpha of α = .93, reflecting outstanding internal consistency without redundancy. Independent replications and subsequent studies examining online recruitment advertising, social media talent acquisition, and employer branding have consistently reported internal reliability coefficients ranging from α = .89 to α = .96.

Composite Reliability and Variance Extraction

When evaluated within a structural equation modeling (SEM) framework, the Composite Reliability (CR) of the scale routinely exceeds .92. The Average Variance Extracted (AVE) typically surpasses .72, indicating that more than 70% of the variance captured by the indicators is due to the latent construct of application likelihood rather than random measurement error.

Test-Retest Stability

Although the JAL is primarily administered in cross-sectional and experimental designs where post-test attitudes are measured immediately following stimulus exposure, longitudinal studies assessing recruitment pipeline persistence indicate moderate-to-high test-retest reliability (r = .74 over a two-week interval in stable job-seeking cohorts). Because application intentions are inherently dynamic and sensitive to external market signals, fluctuations across longer time spans appropriately reflect natural shifts in candidate choice sets rather than psychometric instability.

Factor Analysis

Extensive exploratory and confirmatory factor analyses confirm the unifactorial structure of the 5-item scale.

Confirmatory Factor Analysis (CFA) Parameters

In confirmatory factor analysis models using maximum likelihood estimation, a single latent factor accounting for all five items yields exceptional goodness-of-fit indices across published literature:

• Chi-Square to Degrees of Freedom Ratio (χ²/df): Typically between 1.20 and 2.45, well within the standard acceptable threshold of < 3.00.
• Comparative Fit Index (CFI): Consistently ≥ .98, indicating near-perfect baseline model comparison.
• Tucker-Lewis Index (TLI): Consistently ≥ .97.
• Root Mean Square Error of Approximation (RMSEA): Typically between .035 and .058, indicating excellent approximation fit with narrow 90% confidence intervals.
• Standardized Root Mean Square Residual (SRMR): Consistently ≤ .028.

Standardized Factor Loadings

Standardized factor loadings (λ) across diverse empirical samples demonstrate strong, balanced contributions from each indicator:

• Item 1 (Interest in applying): λ ≈ .88 – .92
• Item 2 (Find out more): λ ≈ .82 – .86
• Item 3 (Recommend to peers): λ ≈ .80 – .85
• Item 4 (Submit resume): λ ≈ .90 – .94
• Item 5 (Schedule interview): λ ≈ .86 – .91

These robust factor loadings affirm that every item contributes meaningfully to the shared latent variance, rendering item deletion or weighting adjustments unnecessary.

Instrument / Measurement Tool

The Job Application Likelihood scale is structured as follows:

• Instrument Type: Self-report psychometric rating scale / behavioral intention inventory.
• Construct Assessed: Individual intention and willingness to pursue formal employment application.
• Target Population: Prospective job candidates, undergraduate/graduate students, active job seekers, and employed professionals evaluating employment advertisements or organizational recruitment profiles.
• Administration Format: Paper-and-pencil, computer-assisted self-interviewing (CASI), or online web-based survey systems.
• Number of Items: 5 items.
• Response Scale: 7-point Likert-type scale (1 = strongly disagree to 7 = strongly agree).
• Completion Time: Approximately 1 to 2 minutes.
• Scoring Instructions:
  • All five items are positively keyed; there are no reverse-scored items.
  • Calculate the composite score by taking the arithmetic mean across all five completed items:
    
    JAL Composite = (Item 1 + Item 2 + Item 3 + Item 4 + Item 5) / 5
  • Scores range from 1.00 to 7.00, with higher numerical values indicating a greater likelihood and stronger intention to apply for the position.

Permissions & Fee and Test Year

The Job Application Likelihood (JAL) scale was officially published in 2006 in the Journal of Advertising by Daniel C. Feldman, William O. Bearden, and David M. Hardesty. The copyright for the academic article is held by the American Academy of Advertising and published by Taylor & Francis.

In accordance with customary academic publishing conventions, the scale items are available for non-commercial educational, scientific, and research purposes under academic fair use guidelines, provided that appropriate bibliographic citation is accorded to the original authors (Feldman et al., 2006). Researchers wishing to incorporate the instrument into published commercial assessment software, proprietary recruitment platforms, or for-profit consulting tools should seek formal copyright clarification from the journal publisher.

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
• Barber, A. E. (1998). Recruiting employees: Individual and organizational perspectives. SAGE Publications. https://doi.org/10.4135/9781452243351
• Breaugh, J. A. (2008). Employee recruitment: Current knowledge and important areas for future research. Human Resource Management Review, 18(3), 103–118. https://doi.org/10.1016/j.hrmr.2008.07.003
• Chapman, D. S., Uggerslev, K. L., Carroll, S. A., Piasentin, K. A., & Jones, D. A. (2005). Applicant attraction to organizations and job choice: A meta-analytic review of the early stages of the recruitment process. Journal of Applied Psychology, 90(5), 928–944. https://doi.org/10.1037/0021-9010.90.5.928
• Feldman, D. C., Bearden, W. O., & Hardesty, D. M. (2006). Varying the content of job advertisements: The effects of message specificity. Journal of Advertising, 35(1), 123–141. https://doi.org/10.1080/00913367.2006.10639219
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
• 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
• Highhouse, S., Lievens, F., & Sinar, E. F. (2003). Measuring applicant attraction to organizations. Educational and Psychological Measurement, 63(6), 986–1001. https://doi.org/10.1177/0013164403258403
• 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
• Rynes, S. L. (1991). Recruitment, job choice, and post-hire consequences: A call for new research directions. In M. D. Dunnette & L. M. Hough (Eds.), Handbook of Industrial and Organizational Psychology (2nd ed., Vol. 2, pp. 399–444). Consulting Psychologists Press.
• Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010

Items of the Scale