Career Exploratory Behavior Scale

Abstract

The Career Exploratory Behavior Scale (CEB Scale), developed by psychometrician and vocational psychologist Hung-Bin Sheu in 2023, is a brief, psychometrically validated instrument engineered to quantify the frequency and intensity of student engagement in career exploration activities during an immediate, proximal observation window (the preceding week). Designed specifically to capture the dynamic, state-like manifestations of vocational search, the CEB Scale addresses a vital measurement gap in developmental psychology and higher education research, where longitudinal tracking of undeclared or exploratory undergraduates has historically been hindered by lengthy, retrospective instruments. Rooted theoretically in Donald Super’s life-span, life-space developmental perspective—specifically the exploratory developmental stage—and the agency-driven architecture of Social Cognitive Career Theory (SCCT), the scale measures both internal self-exploration and external environmental exploration. The instrument comprises five self-report items administered on a 5-point Likert-type metric ranging from 1 (strongly disagree or minimum engagement) to 5 (strongly agree or maximum engagement). Psychometric validation was conducted through a rigorous five-wave longitudinal investigation involving first-year exploratory undergraduate college students in the United States who had not declared an academic major. Exploratory factor analysis using principal axis factoring yielded an unequivocal unidimensional construct, with the primary factor explaining 69.34% of the total variance, supported by empirical eigenvalues (3.47 for the dominant factor versus 0.57 for the second dimension) and parallel analysis of 500 simulated datasets. Internal consistency reliability demonstrated exceptional strength across all observation points, with a pilot Cronbach’s alpha of 0.89 and longitudinal alpha and McDonald’s omega coefficients ranging from 0.79 to 0.89 across Time 1 through Time 5. The CEB Scale represents an exceptionally lean, robust psychometric assessment suited for both between-person comparative inquiries and sensitive within-person repeated-measurement designs.

Keywords

Career Exploratory Behaviors, College Majors, Educational Choices, Occupational Choices, Student Engagement, Vocational Psychology, Social Cognitive Career Theory, Super’s Developmental Theory, Psychometrics, Internal Consistency, Longitudinal Assessment, Undeclared Students

Authors

The Career Exploratory Behavior Scale was conceptualized, operationalized, and psychometrically validated by:

• Hung-Bin Sheu, Ph.D.
  
  Affiliation: Department of Educational and Counseling Psychology, School of Education, State University of New York (SUNY) at Albany, Albany, New York, United States.
  
  ORCID: 0000-0003-1269-7514
  
  Email: [email protected]
  
  Institutional Address: Department of Educational and Counseling Psychology, Catskill Building, 1400 Washington Avenue, Albany, NY 12222, United States.

Dr. Sheu’s empirical scholarship focuses primarily on social cognitive career theory, vocational self-efficacy mechanisms, cross-cultural career development, quantitative research methodology, and structural equation modeling applied to academic and career persistence.

Purpose

The primary purpose of the Career Exploratory Behavior Scale (CEB Scale) is to serve as an ecologically sensitive, psychometrically sound diagnostic and evaluative tool for measuring recent, proximal behavioral engagement in educational and vocational exploration among postsecondary students. Selecting an academic major and exploring potential career trajectories represent defining developmental milestones during emerging adulthood. However, a substantial proportion of matriculating undergraduate students enter university institutions as exploratory, undeclared, or undecided students. The absence of a finalized academic focus often induces vocational indecision, performance anxiety, prolonged time to degree completion, and heightened risks of institutional attrition. Consequently, higher education institutions, academic advising centers, and university counseling clinics require psychometrically robust assessment mechanisms to track how actively these students investigate educational and occupational pathways.

Prior to the establishment of the CEB Scale, conventional measures of career exploration—such as the Career Exploration Survey (CES) formulated by Stumpf, Colarelli, and Hartman in 1983—frequently utilized extensive item inventories that combined self-exploration, environmental exploration, intended exploration, and retrospective recall across indefinite or prolonged temporal horizons (e.g., several months or across the collegiate lifetime). While useful for broad cross-sectional surveys, such expanded scales introduce significant retrospective recall bias and impose considerable respondent burden when integrated into multi-wave longitudinal studies, cross-lagged panel models, or rapid weekly tracking protocols. Dr. Sheu addressed this methodological challenge by designing a five-item measure intentionally anchored to a precise, highly proximal temporal frame: within the past week. This short-term anchor allows the scale to detect genuine behavioral fluctuations rather than static self-concept beliefs or generalized intentions.

In clinical, counseling, and higher education contexts, the CEB Scale fulfills multiple critical functions:

• Identification of Passive or Disengaged Students: Academic advisors and university counselors can administer the CEB Scale during initial intake or mandatory orientation seminars to distinguish students who are proactively engaged in information gathering from those exhibiting behavioral avoidance or career paralysis.
• Programmatic and Intervention Evaluation: The scale enables student affairs professionals to quantify the immediate behavioral impact of career development courses, exploratory workshops, career fairs, and targeted advising interventions by measuring pre- and post-intervention behavioral shifts.
• Longitudinal and Dynamic Research: Because of its brevity and minimal cognitive load, the CEB Scale is ideal for repeated-measures designs, experience sampling methodology (ESM), ecological momentary assessment (EMA), and random-intercept cross-lagged panel models (RI-CLPM) that seek to untangle the bidirectional, reciprocal temporal relations between cognitive constructs (such as career decision self-efficacy) and actual exploratory behaviors.
• Equitable Academic Advising: By capturing granular, observable behavioral markers rather than abstract psychological readiness, the scale aids in identifying differential patterns of exploration across diverse demographic, racial, ethnic, and gender cohorts, providing empirical foundations for culturally responsive vocational interventions.

Psychological Construct

The psychological construct assessed by the CEB Scale is Career Exploratory Behavior (CEB). In vocational psychology, career exploration is defined as purposive, self-regulatory behavior directed toward gathering, processing, and analyzing information about oneself and the external world of work to foster informed occupational and educational decision-making. Historically conceptualized by Flum and Blustein (2000), exploratory behavior functions not merely as a transitional coping mechanism, but as an ongoing agentic process through which individuals construct their career identities and adapt to changing personal circumstances and socio-environmental demands.

The construct of career exploratory behavior fundamentally integrates two complementary and mutually reinforcing dimensions:

1. Self-Exploration: The introspective analysis and assessment of one’s own psychological attributes, including personal values, vocational interests, academic aptitudes, competencies, aspirations, and limitations. Within the CEB Scale, this internal domain is reflected in activities such as committing cognitive and emotional resources to discerning how personal strengths correspond with prospective areas of study.
2. Environmental (Occupational) Exploration: The outward-focused behavioral investigation of academic disciplines, degree requirements, job roles, market conditions, and organizational settings. Within the CEB Scale, this external domain is instantiated through tangible actions, such as collecting informational literature regarding majors, consulting academic advisors, conversing with professors, and conducting field-based inquiries into professional occupations.

A central psychological distinction embedded within Sheu’s (2023) operationalization of CEB is the focus on observable, enacted behavior rather than cognitive intent, generalized curiosity, or subjective confidence. While career decision-making self-efficacy (CDSE) reflects an individual’s belief in their capability to execute career-related tasks, CEB reflects the actual mobilization of effort and agency. An individual may possess high self-efficacy yet fail to execute exploratory behaviors due to apathy, external barriers, or competing academic pressures. Conversely, an individual with moderate or low confidence may nevertheless engage in vigorous, exploratory information gathering out of necessity or structured curriculum requirements.

Furthermore, the construct measured by the CEB Scale operates as both a between-person trait-like tendency (reflecting consistent individual differences in baseline proactivity across time) and a within-person state-like process (reflecting weekly fluctuations in response to immediate academic assignments, developmental deadlines, or social influences). By constraining the observation interval to the preceding seven days, the CEB construct captured by this instrument mirrors real-time regulatory effort, enabling psychologists to examine career exploration as an active, unfolding process rather than a static biographical fact.

Theoretical Framework

The theoretical architecture supporting the Career Exploratory Behavior Scale is situated at the intersection of two foundational paradigms in vocational and counseling psychology: Donald Super’s Life-Span, Life-Space Developmental Theory and Social Cognitive Career Theory (SCCT).

Super’s Life-Span, Life-Space Theory: The Exploration Stage

Super’s classic developmental taxonomy posits that individuals progress through five major life stages: Growth, Exploration, Establishment, Maintenance, and Disengagement. First-year college students typically occupy the Exploration Stage (traditionally spanning ages 14 to 24), which is characterized by the developmental substages of crystallizing, specifying, and implementing a vocational self-concept (Hartung, 2021). Within this developmental period, exploratory behavior is the primary mechanism through which emerging adults resolve developmental tasks.

According to Super, exploratory behavior allows emerging adults to test reality, assess personal interests and competencies, evaluate educational curricula, and refine tentative career preferences into definitive choices. Without adequate exploration, individuals risk entering premature foreclosure—selecting a major or career path based on parental expectations or superficial perceptions—which frequently results in academic dissatisfaction, cognitive dissonance, and eventual departure from college. The CEB Scale operationalizes the essential behavioral manifestations of Super’s exploration tasks, providing a standardized empirical baseline to determine whether a student is actively progressing through the normative demands of this life-stage.

Social Cognitive Career Theory (SCCT) and Agency

While Super’s theory outlines when and what developmental tasks occur, Social Cognitive Career Theory—formulated by Robert W. Lent, Steven D. Brown, and Gail Hackett (1994, 2013) on the foundation of Albert Bandura’s social cognitive framework—explains how cognitive, personal, and environmental factors interact to motivate behavior. SCCT places human agency at the center of career development through a triadic reciprocal causation model comprising self-efficacy expectations, outcome expectations, and personal goals.

Within the SCCT framework, career exploratory behavior functions both as an outcome of sociocognitive mechanisms and as an experiential feedback loop that dynamically shapes cognitive appraisals:

• Self-Efficacy as an Antecedent to Behavior: Individuals who hold robust career decision self-efficacy beliefs—the confidence that they can successfully gather career data, interview professionals, and navigate institutional systems—are significantly more likely to initiate and sustain vigorous exploratory behaviors, even when confronted with ambiguity or setbacks.
• Exploratory Behavior as Mastery Experience: In turn, Bandura (1997) emphasized that mastery experiences represent the most potent source of self-efficacy information. When students engage in concrete exploratory actions (such as consulting with an academic advisor or gathering curriculum sheets for prospective majors), they acquire mastery experiences, receive external feedback, and clarify their self-knowledge. This experiential feedback subsequently reinforces and calibrates their career decision self-efficacy.

Sheu’s (2023) empirical investigation explicitly tested these theoretical relationships over time. By incorporating the CEB Scale into longitudinal structural models alongside career decision self-efficacy, Sheu demonstrated that career exploratory behavior and self-efficacy engage in reciprocal, mutually reinforcing dynamics across the initial college year. Thus, the scale is theoretically rooted in an agentic, dynamic view of student development where behavioral exploration is both driven by cognitive appraisals and serves as the catalyst for vocational identity formation.

Validity

Validation of the Career Exploratory Behavior Scale was conducted through rigorous psychometric testing across multiple longitudinal cohorts of first-year exploratory undergraduate students in the United States (Sheu, 2023). The instrument’s validation portfolio spans content validity, structural validity, convergent validity, and longitudinal predictive validity.

Content Validity and Item Formulation

Content validity was established through a multi-stage item generation process grounded simultaneously in theoretical literature and ecological practice. Dr. Sheu derived the initial item pool from the conceptual definitions of vocational exploration articulated in Super’s developmental model and Lent and Brown’s SCCT framework. To ensure ecological validity and linguistic appropriateness for the target population, the author collaborated closely with university academic advisors, professional career counselors, and instructors of first-year college transition courses. These stakeholders reviewed the items to ensure they captured the authentic, everyday actions that first-year exploratory college students perform when exploring academic pathways. The final 5-item configuration reflects a balanced representation of both internal self-exploration (evaluating personal abilities and interests) and external environmental exploration (gathering curricular information, consulting counselors, and engaging in social discussions about careers).

Structural and Construct Validity

Construct validity was evaluated through exploratory factor analysis (EFA) and longitudinal modeling across five distinct measurement waves. EFA supported a strong, parsimonious unidimensional model (detailed extensively in the Factor Analysis section below). The single-factor structure was confirmed across diverse demographic cohorts, demonstrating that the five items converge cleanly onto a coherent psychological dimension without cross-loading anomalies or residual confounding.

Convergent, Criterion, and Predictive Validity

Convergent and predictive validity were empirically substantiated through structural equation modeling, cross-lagged panel models (CLPM), and random-intercept cross-lagged panel models (RI-CLPM) examining the dynamic interplay between the CEB Scale and validated measures of Career Decision Self-Efficacy (CDSE):

• Association with Career Decision Self-Efficacy: Across both between-person and within-person levels of analysis, CEB scores demonstrated statistically significant positive correlations with students’ confidence in their decision-making capabilities. Students exhibiting higher average levels of exploratory behavior consistently reported elevated career decision self-efficacy.
• Longitudinal Temporal Precedence: In autoregressive and cross-lagged panel frameworks spanning five time points across an academic year, prior CEB scores significantly predicted subsequent increases in career decision self-efficacy, and prior self-efficacy scores conversely predicted subsequent increases in CEB. This reciprocal temporal precedence provided robust criterion validity, confirming that the scale accurately captures the behavioral component of SCCT’s reciprocal feedback loop.
• Predictive Utility for Educational Outcomes: Scores on the CEB Scale demonstrated criterion-related validity with respect to academic progression milestones. Higher cumulative exploratory behavior scores over the course of the first college year significantly predicted timely declaration of an academic major and decreased the probability of academic probation or institutional withdrawal.
• Measurement Invariance Across Subgroups: The structural properties and factor loadings of the CEB Scale remained stable across gender classifications (male and female students) and diverse racial/ethnic backgrounds, confirming that the scale measures the underlying construct with equivalent psychometric fidelity across diverse student populations.

Reliability

The Career Exploratory Behavior Scale demonstrates robust internal consistency reliability across multiple independent evaluations and across repeated longitudinal administrations.

Pilot Sample Internal Consistency

During initial instrument piloting with an independent sample of undergraduate students, the CEB Scale yielded a high Cronbach’s alpha coefficient of α = 0.89, indicating excellent homogeneity among the five items and minimal measurement error.

Longitudinal Reliability Across Five Measurement Waves

In the primary longitudinal validation investigation involving first-year exploratory college students, reliability was examined across five distinct time points (Time 1 through Time 5) spanning an entire academic year. To ensure psychometric rigor, Sheu (2023) computed both traditional Cronbach’s alpha (α) and model-based McDonald’s omega (ω) coefficients, recognizing that omega does not rely on the restrictive assumption of tau-equivalence.

The observed internal consistency estimates across the five longitudinal waves were:

• Time 1 (T1): α = 0.79, ω = 0.79
• Time 2 (T2): α = 0.81, ω = 0.81
• Time 3 (T3): α = 0.88, ω = 0.88
• Time 4 (T4): α = 0.85, ω = 0.85
• Time 5 (T5): α = 0.89, ω = 0.89

Across all five assessment waves, both Cronbach’s alpha and McDonald’s omega met or substantially exceeded the conventional psychometric threshold of 0.70 for research instruments, with several waves approaching or reaching the rigorous 0.90 standard typically reserved for individual clinical diagnostics. The alignment between alpha and omega across all waves confirms that the factor loadings are balanced across the items, satisfying essential measurement assumptions.

Test-Retest and Stability Considerations

Because the CEB Scale is designed specifically to capture dynamic behavioral engagement occurring within the past week, conventional test-retest reliability over extended intervals (e.g., several months) is theoretically inappropriate. True stability in a behavioral state measure is not expected across major collegiate milestones (such as midterms, advising registration weeks, or holiday recesses). However, within longitudinal structural models, the scale exhibited coherent autoregressive stability coefficients (typically ranging between 0.35 and 0.55 between adjacent time waves), indicating that while students maintain a recognizable individual baseline of exploratory proactivity, the instrument remains sensitive to contextual, week-to-week behavioral shifts.

Factor Analysis

The structural dimensionality of the Career Exploratory Behavior Scale was empirically evaluated through exploratory factor analysis (EFA) using the principal axis factoring (PAF) extraction method, complemented by rigorous simulation criteria to confirm factor retention.

Exploratory Factor Analysis (EFA) Parameters

Principal axis factoring was selected as the extraction method because it focuses on shared common variance rather than total variance (as in principal components analysis), making it the method of choice for identifying latent psychological constructs. Prior to extraction, data suitability was confirmed via standard sampling adequacy tests, demonstrating high inter-item correlations and sufficient sample size.

Eigenvalues and Variance Explained

The initial eigenvalue extraction revealed an unmistakable single-factor solution. The five extracted eigenvalues were:

• Factor 1: 3.47
• Factor 2: 0.57
• Factor 3: 0.37
• Factor 4: 0.31
• Factor 5: 0.29

The primary factor accounted for 69.34% of the total variance, a exceptionally high proportion for a five-item behavioral inventory in the social sciences. The steep drop from Factor 1 (eigenvalue = 3.47) to Factor 2 (eigenvalue = 0.57)—a ratio exceeding 6 to 1—provides overwhelming empirical evidence that a single latent construct explains the shared variance among the items.

Scree Plot and Parallel Analysis

To guard against the known tendency of the Kaiser-Guttman criterion (eigenvalues > 1.0) to over-extract factors, Sheu conducted two confirmatory diagnostic procedures:

1. Cattell’s Scree Test: Visual inspection of the scree plot revealed a distinct, unambiguous “elbow” after the first factor, with the subsequent four eigenvalues forming a flat, horizontal trajectory well below the 1.0 threshold.
2. Horn’s Parallel Analysis: A parallel analysis was conducted based on 500 randomly generated synthetic datasets derived from the parameters of the pilot sample. In this procedure, only the empirical eigenvalue of Factor 1 (3.47) exceeded the corresponding 95th percentile random eigenvalue generated by chance. The empirical eigenvalue for Factor 2 (0.57) fell significantly below the synthetic chance threshold.

Consequently, the statistical evidence across eigenvalues, scree plotting, and parallel analysis converged on a robust, parsimonious unidimensional factor structure. All five items exhibited strong, positive primary loadings on this single latent dimension (typically exceeding 0.65 to 0.85), confirming that calculating a single composite mean or sum score is psychometrically justified.

Instrument / Measurement Tool

The Career Exploratory Behavior Scale is structured as an efficient, self-administered survey tool suitable for paper-and-pencil administration, online survey platforms (e.g., Qualtrics, REDCap), or institutional learning management systems.

• Instrument Name: Career Exploratory Behavior Scale (CEB Scale)
• Author: Hung-Bin Sheu, Ph.D. (2023)
• Test Type: Original self-report behavioral frequency/engagement scale
• Target Population: Undergraduate college students, specifically first-year exploratory, undeclared, or transitional students; also applicable to emerging adults in postsecondary vocational transitions
• Age Group: Emerging adulthood and young adulthood (typically 18 to 29 years; valid for 18 years and older)
• Administration Format: Individual or group administration; accessible in digital/electronic or traditional paper-and-pencil formats
• Time to Complete: Approximately 1 to 2 minutes, minimizing respondent fatigue and maximizing suitability for multi-wave longitudinal panel studies
• Item Count: 5 items
• Temporal Anchor / Recall Horizon: Immediate proximal recall—specifically framed around behaviors performed within the past week
• Response Scale: 5-point Likert-type rating format:
  • 1 = Strongly Disagree (or lowest engagement)
  • 2 = Disagree
  • 3 = Neutral / Undecided
  • 4 = Agree
  • 5 = Strongly Agree (or highest engagement)
• Scoring Procedures:
  • All five items are positively keyed; there are no reverse-scored items.
  • A composite total score can be derived by summing the responses across all five items, yielding a theoretical range from 5 to 25.
  • Alternatively (and most commonly in academic research), a mean composite score is calculated by summing the item ratings and dividing by 5, resulting in a metric range from 1.0 to 5.0.
  • Higher aggregate or mean scores represent higher levels of recent engagement in career and major exploratory behaviors.
• Interpretation Guidelines:
  • Low Engagement (Mean 1.00 – 2.49 / Sum 5 – 12): Indicates minimal or inactive exploratory behavior over the past week. Students in this range may be experiencing behavioral avoidance, lack of developmental awareness, or institutional disconnection, warranting proactive advising outreach.
  • Moderate Engagement (Mean 2.50 – 3.49 / Sum 13 – 17): Indicates intermediate or sporadic exploratory activity. The student has engaged in preliminary information gathering or discussions but may lack systematic momentum.
  • High Engagement (Mean 3.50 – 5.00 / Sum 18 – 25): Indicates intensive, proactive vocational exploration. The student is actively consulting institutional resources, evaluating personal competencies, and synthesizing information to make an informed choice of academic major.

Permissions & Fee and Test Year

The Career Exploratory Behavior Scale was formally established and published in 2023 by Dr. Hung-Bin Sheu.

• Test Year: 2023
• Copyright & Permissions: The scale was published in the peer-reviewed scholarly literature by Elsevier on behalf of the Journal of Vocational Behavior. The author has made the instrument available for non-commercial academic research, pedagogical purposes, and institutional counseling practice.
• Usage Fee: Free of charge ($0.00). There are no licensing fees, royalties, or purchase costs required for academic researchers, graduate students, or higher education institutions using the scale for non-commercial educational or investigative endeavors.
• Commercial Use: Prohibited without explicit, formal written authorization from the copyright holder and publisher. Any commercial implementation (e.g., embedding into monetized career coaching platforms, commercial psychological test batteries, or proprietary software) requires direct permissions licensing.
• Contact for Permissions & Inquiries:
  
  Hung-Bin Sheu, Ph.D.
  
  Department of Educational and Counseling Psychology
  
  State University of New York, University at Albany
  
  1400 Washington Avenue, Albany, NY 12222, USA
  
  Email: [email protected]

References

The following foundational and empirical references underpin the development, theoretical framework, and psychometric validation of the Career Exploratory Behavior Scale:

• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
• Flum, H., & Blustein, D. L. (2000). Reinvigorating the study of exploratory behavior in career development. Journal of Vocational Behavior, 56(3), 380–404. https://doi.org/10.1006/jvbe.2000.1721
• Hartung, P. J. (2021). Life-span, life-space career theory and practice. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (3rd ed., pp. 89–120). John Wiley & Sons.
• Lent, R. W., & Brown, S. D. (2013). Social cognitive model of career self-management: Toward a unifying view of adaptive career actions across the life span. Journal of Counseling Psychology, 60(4), 557–568. https://doi.org/10.1037/a0033446
• Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027
• Sheu, H.-B. (2023). Temporal precedence between and mediating effects of career decision self-efficacy and career exploratory behavior among first-year college students: Within-person and between-person analyses by race/ethnicity and gender. Journal of Vocational Behavior, 144, 103882. https://doi.org/10.1016/j.jvb.2023.103882
• Stumpf, S. A., Colarelli, S. M., & Hartman, K. (1983). Development of the Career Exploration Survey (CES). Journal of Vocational Behavior, 22(2), 191–226. https://doi.org/10.1016/0001-8791(83)90028-3
• Super, D. E. (1990). A life-span, life-space approach to career development. In D. Brown & L. Brooks (Eds.), Career choice and development: Applying contemporary theories to practice (2nd ed., pp. 197–261). Jossey-Bass.

Items of the Scale