College and Career Readiness for Transition (CCR4T)

1. Abstract

The College and Career Readiness for Transition (CCR4T) is a psychometrically validated self-report instrument engineered to evaluate the multidimensional competencies requisite for secondary students making the critical transition into postsecondary education, vocational training, and competitive employment (Lombardi et al., 2023). Developed to address an urgent need within special education and general education transition systems, the CCR4T is uniquely structured to assess both academic and nonacademic skills across diverse student populations, serving high school adolescents with and without disabilities. The instrument originated from an overarching five-domain conceptual framework conceptualized by Lombardi et al. (2020), which synthesized educational reform models with secondary transition best practices. Following comprehensive expert panel reviews and extensive field testing, the instrument underwent rigorous item-level analysis via Item Response Theory (IRT) and classical test theory, yielding a final retained pool of 64 items.

Psychometric evaluation was executed on a normative calibration sample of 1,955 high school youth across five comprehensive secondary schools in three distinct United States geographical regions. The CCR4T utilizes an authentic six-point Likert response scale anchored from 1 (totally not like me) to 6 (totally like me). Psychometric evaluations established a refined four-factor empirical structure comprising: (a) Ownership of Learning, (b) Academic Engagement and Processes, (c) Interpersonal Engagement, and (d) Career Development. Structural analyses utilizing Robust Maximum Likelihood confirmatory factor modeling demonstrated favorable absolute fit indices, including a Root Mean Square Error of Approximation (RMSEA) of .045 and a Standardized Root Mean Square Residual (SRMR) of .058. Item-total correlations across the substantive subscales evidenced robust internal consistency, ranging from .49 to .79 across core domains after removing psychometrically problematic reverse-scored items. Furthermore, convergent validity was substantiated through statistically significant associations with standardized academic achievement benchmarks, college admissions examination scores (e.g., ACT/SAT), and administrative indicators of school attendance. The CCR4T stands as an empirically validated assessment tool that directly informs Multi-Tiered Systems of Support (MTSS) and postsecondary transition planning.

2. Keywords

College and Career Readiness, Secondary Transition, Adolescence, Disabilities, Ownership of Learning, Interpersonal Engagement, Career Development, Academic Engagement, Multi-Tiered Systems of Support (MTSS), Psychometrics, Special Education.

3. Authors

The College and Career Readiness for Transition (CCR4T) was developed and validated by a consortium of researchers specializing in educational psychology, psychometrics, and transition education for individuals with disabilities:

• Allison R. Lombardi, Ph.D. (Corresponding Author) — Department of Educational Psychology, Neag School of Education, University of Connecticut, Storrs, CT, USA. ORCID: 0000-0002-7254-8820. Email: [email protected].
• Graham G. Rifenbark, Ph.D. — Department of Educational Psychology, University of Connecticut, Storrs, CT, USA.
• H. Jane Rogers, Ph.D. — Department of Educational Psychology, Measurement, Evaluation, and Assessment Program, University of Connecticut, Storrs, CT, USA.
• Hariharan Swaminathan, Ph.D. — Department of Educational Psychology, Measurement, Evaluation, and Assessment Program, University of Connecticut, Storrs, CT, USA.
• Ashley Taconet, Ph.D. — Neag School of Education, University of Connecticut, Storrs, CT, USA. ORCID: 0000-0003-2407-5114.
• Valerie L. Mazzotti, Ph.D. — Department of Special Education and Child Development, University of North Carolina at Charlotte, Charlotte, NC, USA. ORCID: 0000-0003-2616-8859.
• Mary E. Morningstar, Ph.D. — Department of Special Education, Portland State University, Portland, OR, USA.
• Rongxiu Wu, Ph.D. — Department of Educational Psychology, University of Connecticut, Storrs, CT, USA.
• Shannon Langdon, M.A. — Neag School of Education, University of Connecticut, Storrs, CT, USA.

4. Purpose

The primary purpose of the College and Career Readiness for Transition (CCR4T) is to provide researchers, educators, and secondary transition specialists with an inclusive, standardized self-assessment instrument that measures adolescent noncognitive and academic development relevant to postsecondary success (Lombardi et al., 2023). Historically, national education policy frameworks—such as the Every Student Succeeds Act (ESSA) and the Individuals with Disabilities Education Act (IDEA)—have operated under parallel yet disconnected paradigms regarding college and career readiness. General education initiatives have predominantly emphasized standardized academic achievement metrics, cognitive course pacing, and state assessments, while special education transition programming has prioritized functional life skills, self-advocacy, vocational training, and community adjustment. The CCR4T bridges this historical dichotomy by formulating an integrative assessment platform capable of evaluating both populations within inclusive learning environments.

From an applied perspective, the CCR4T is engineered to facilitate data-driven decision-making within secondary Multi-Tiered Systems of Support (MTSS). Educational practitioners require reliable tools to identify students who are underprepared for adult life prior to high school exit. Rather than relying solely on lagging academic indicators—such as grade point averages or failed courses—the CCR4T assesses critical malleable constructs, including self-regulated study strategies, peer engagement, collaborative problem solving, goal-setting, and career exploration. By pinpointing precise domain-level deficits, multidisciplinary school teams can deliver targeted Tier 1 universal curricula, Tier 2 small-group interventions (such as targeted study-skills workshops or vocational counseling), or Tier 3 individualized supports. For youth with disabilities who have Individualized Education Programs (IEPs), the CCR4T yields actionable baseline data directly translatable into measurable, federally mandated postsecondary transition goals.

From a theoretical and research standpoint, the CCR4T addresses critical measurement gaps in secondary transition scholarship. Prior transition instruments frequently suffered from non-normed scales, narrow diagnostic target groups (e.g., exclusively individuals with severe intellectual disabilities or exclusively neurotypical students), or questionable structural stability across diverse demographics. The CCR4T was calibrated intentionally across a mixed sample of adolescents with specific learning disabilities, other health impairments, emotional and behavioral disorders, and neurotypical students. Consequently, it offers a common metric for structural equation modeling, intervention evaluation, and longitudinal cohort studies tracking transition trajectories into postsecondary education and competitive integrated employment.

5. Psychological Construct

The CCR4T operationalizes college and career readiness as a multifaceted constellation of academic, social-emotional, cognitive, and vocational behaviors that govern how an adolescent adapts to post-school adult environments. Although the instrument originated from a conceptual five-domain paradigm, empirical structural analyses consolidated these behaviors into four distinct, psychometrically robust factors:

1. Ownership of Learning

The Ownership of Learning construct captures an adolescent’s capacity for autonomous, self-regulated educational agency, metacognitive monitoring, and active persistence. Grounded in theories of self-regulated learning, this dimension evaluates the degree to which a student takes personal responsibility for their academic trajectory. Specific operational behaviors within this construct include independent task initiation, goal setting, time allocation, prioritizing academic demands over competing non-academic distractions, seeking constructive feedback from teachers, and adapting strategies in response to academic setback. Rather than assessing innate intelligence, this dimension measures the student’s psychological ownership, personal agency, and perseverance within scholastic settings.

2. Academic Engagement and Processes

The Academic Engagement and Processes construct synthesizes both cognitive learning strategies and behavioral classroom engagement into an integrative, unified dimension. This factor reflects the operationalization of process-oriented academic skills essential for succeeding within rigorous postsecondary educational contexts. Sub-components evaluate deep cognitive information processing (e.g., summarizing conceptual frameworks, synthesizing information across multiple sources, structural outlining), active critical thinking, classroom behavioral attendance, active listening, question formulation, and systematic test-preparation tactics. This factor captures the tactical execution of learning—the mechanisms and behavioral routines through which a student interacts with complex intellectual content.

3. Interpersonal Engagement

The Interpersonal Engagement construct assesses the social and relational competencies required for navigating collaborative adult working and learning environments. In postsecondary settings, individual accomplishment is deeply intertwined with collaborative functioning, teamwork, professional communication, and relational self-advocacy. This construct measures a student’s proficiency in interacting cooperatively with peers, actively participating in small-group projects, resolving interpersonal conflict respectfully, communicating clearly across diverse viewpoints, seeking peer assistance when academically stalled, and forging supportive relationships with instructors, institutional staff, and mentors. Psychometric analyses underscored that positive, prosocial behaviors strongly delineate this factor, whereas passive or antisocial behaviors require distinct diagnostic interpretation.

4. Career Development

The Career Development construct (encompassing broader transition competencies) measures the extent to which an adolescent has engaged in purposeful vocational exploration, career identity formation, and future-oriented post-school preparation. Operationalized indicators include an understanding of personal vocational interests, values, and aptitudes; knowledge of postsecondary educational prerequisites for desired career pathways; direct engagement in career exploration activities (e.g., job shadowing, career research, informational interviews); familiarity with workplace expectations; and navigation of community-based or institutional transition supports. For students with disabilities, this domain also touches upon the knowledge of accommodations and the self-advocacy strategies necessary to request modifications in postsecondary education or workplace settings.

6. Theoretical Framework

The conceptual foundation of the CCR4T is rooted in the convergence of educational college readiness theory, psychological models of self-determination, and developmental perspectives on vocational choice. Historically, the benchmark conceptualization of college and career readiness emerged from David T. Conley’s foundational multi-dimensional framework (Conley, 2007, 2010). Conley challenged the traditional reliance on standardized cognitive assessments, arguing that holistic readiness consists of four interacting operational components: Key Cognitive Strategies (e.g., analysis, reasoning, interpretation), Key Content Knowledge (foundational disciplines), Academic Behaviors (self-management, study habits), and Contextual Skills and Awareness (understanding collegiate admissions, institutional culture, financial aid, and self-advocacy).

Concurrently, secondary transition research in special education has long been guided by Self-Determination Theory (SDT; Ryan & Deci, 2000) and Field and Hoffman’s model of self-determination, which posit that optimal post-school adjustment requires students to act as the primary causal agents in their lives. According to SDT, individuals thrive when their basic psychological needs for autonomy, competence, and relatedness are supported. In transition environments, this manifests as adolescents taking ownership of their educational plans, setting independent vocational objectives, evaluating their strengths and limitations, and advocating for necessary institutional resources.

To integrate these distinct theoretical frameworks, Lombardi et al. (2020) synthesized Conley’s model with evidence-based transition practices, conceptualizing an overarching five-domain framework encompassing: (1) Academic Engagement, (2) Process-Oriented Skills, (3) Ownership of Learning, (4) Interpersonal Engagement, and (5) Transition Competencies. When this conceptual framework was subjected to rigorous empirical psychometric analysis (Lombardi et al., 2023), the empirical data demonstrated that Academic Engagement and Process-Oriented Skills collapsed naturally into a single, cohesive higher-order cognitive-behavioral factor, while Transition Competencies aligned conceptually and psychometrically with Career Development. Thus, the CCR4T operationalizes an empirically derived, unified theoretical model bridging educational psychology and secondary transition scholarship.

7. Validity

The validity of the CCR4T was evaluated through an extensive sequence of content, construct, and criterion-related psychometric investigations conducted in accordance with the Standards for Educational and Psychological Testing:

Content Validity

Initial content validation was conducted through an iterative, rigorous expert panel review. Experts in special education secondary transition, educational psychology, educational measurement, and state-level secondary school administration evaluated the initial item pool. Items were examined for developmental appropriateness, readability for diverse youth (including readability metrics suited for high school students with reading disabilities), cultural linguistic sensitivity, and construct alignment against the foundational Lombardi et al. (2020) framework. Only items achieving high inter-rater panel consensus were retained for field calibration.

Construct Validity and Item Response Theory (IRT)

Following item administration across five comprehensive high schools ($N = 1,955$), construct validity was evaluated through a sequential combination of Item Response Theory (IRT) and structural factor modeling. Graded response IRT models were implemented to inspect item discrimination parameter values ($lpha$) and category threshold intersection parameters ($eta$). Items demonstrating poor item fit, non-monotonic category characteristic curves, or severely depressed discrimination values were systematically excised. The empirical IRT refinement yielded a robust final battery of 64 items exhibiting excellent parameter stability and construct representation across the continuum of the latent readiness traits.

Convergent and Criterion-Related Validity

Convergent validity was substantiated through empirical associations between the CCR4T domain scores and established objective academic and institutional indicators:

• Standardized Academic Achievement: Students scoring higher across the Ownership of Learning and Academic Engagement and Processes subscales exhibited statistically significant positive correlations with state standardized academic achievement test batteries in mathematics and English language arts ($p < .001$).
• College Entrance Exam Benchmarks: Subscale scores correlated significantly in the expected direction with performance on college admissions assessments, including the SAT and ACT, supporting the scale’s diagnostic fidelity for collegiate preparation.
• School Attendance Records: School attendance rates (percentage of instructional days present) exhibited significant positive correlations with CCR4T subscales, providing behavioral evidence that self-reported engagement aligns with objective institutional participation.

8. Reliability

The internal consistency of the CCR4T was evaluated using Classical Test Theory metrics across a calibration sample of 1,955 high school students. Item-total correlation analyses provided critical insights into scale performance, leading to important structural refinements during scale development:

• Academic Engagement Subscale: Corrected item-total correlations ranged from .34 to .76. Notably, an initial reverse-scored item, “I am often late for class,” demonstrated the lowest item-total correlation (.34), highlighting the psychometric vulnerability of negatively phrased indicators among adolescent respondents.
• Interpersonal Engagement Subscale: Item-total correlations ranged from .19 to .75. Crucially, each of the four reverse-scored items within this domain exhibited unacceptable corrected item-total correlations ($le .40$, dropping as low as .19). Methodological inspection revealed that these items introduced construct-irrelevant method variance rather than substantive trait measurement. Consequently, the authors pruned all five reverse-scored items from the instrument, markedly elevating subscale integrity and internal consistency.
• Ownership of Learning Subscale: Unidimensional item performance was consistently high, with corrected item-total correlations ranging from .59 to .76.
• Process-Oriented Skills Subscale: Demonstrated strong consistency, with item-total estimates spanning .51 to .76.
• Transition Competencies Subscale: Exhibited high internal consistency, with item-total correlations ranging between .49 and .79.

Following the excision of reverse-coded artifacts and completion of IRT-based pruning, the finalized 64-item battery exhibited high reliability coefficients across all consolidated factors, confirming the scale’s stability for both group-level research and individual transition planning.

9. Factor Analysis

The structural dimensionality of the CCR4T was identified and confirmed using a rigorous sequential exploratory-to-confirmatory factor analytic framework:

Exploratory Factor Analysis (EFA)

Initial structural modeling utilized Exploratory Factor Analysis to evaluate the empirical viability of the proposed five-domain model versus alternative structures. Following the methodological guidelines of McCoach et al. (2013), extraction criteria prioritized solutions that achieved simple structure, demonstrated theoretical interpretability, and yielded factor loadings of 0.40 or greater on primary factors with minimal cross-loadings. The EFA revealed that a four-factor solution was optimal. The original conceptual domains of Academic Engagement and Process-Oriented Skills converged onto a single higher-order empirical dimension, designated as Academic Engagement and Processes.

The four-factor EFA model demonstrated excellent absolute and incremental fit indices:

• Root Mean Square Error of Approximation (RMSEA): 0.043 (90% Confidence Interval: [0.041, 0.045]), indicating superb close model fit.
• Standardized Root Mean Square Residual (SRMR): 0.028, well below the conservative 0.05 threshold.
• Comparative Fit Index (CFI): 0.867.
• Tucker-Lewis Index (TLI): 0.855.

Confirmatory Factor Analysis (CFA)

To cross-validate the empirical dimensionality, a Confirmatory Factor Analysis was conducted on the full calibration sample ($N = 1,955$) using the Robust Maximum Likelihood (MLR) estimator to account for mild non-normality in Likert response distributions. The four latent factors were specified to freely correlate:

• Model Chi-Square: $\chi^2(1948, N = 1,955) = 9690.77, p < .0001$. Given the sensitivity of the $\chi^2$ statistic to large sample sizes, structural evaluation relied on residual fit indices.
• RMSEA: 0.045 (90% Confidence Interval: [0.044, 0.046]), confirming excellent close approximation in the population.
• SRMR: 0.058, indicating satisfactory residual covariance modeling.

All finalized items loaded significantly ($p < .001$) on their designated latent factors with standardized coefficients exceeding .40, confirming robust construct validity.

10. Instrument / Measurement Tool

• Test Type: Original standardized self-report inventory/questionnaire.
• Target Population: Adolescents and youth transitioning to adulthood (Ages 13–17 years; Grades 9–12), inclusive of students with learning disabilities, emotional/behavioral disabilities, attention-deficit disorders, and neurotypical students.
• Item Count: 64 finalized items.
• Response Scale: 6-point Likert-type response scale formatted as follows:
  • 1 = Totally not like me
  • 2 = Mostly not like me
  • 3 = Not like me
  • 4 = Like me
  • 5 = Mostly like me
  • 6 = Totally like me
• Subscales / Dimensions:
  • Ownership of Learning: Evaluates self-regulated goal-setting, autonomy, time management, and academic persistence.
  • Academic Engagement and Processes: Assesses cognitive learning strategies, deep study tactics, critical thinking, active classroom participation, and behavioral attendance.
  • Interpersonal Engagement: Measures peer collaboration, relational teamwork, constructive problem-solving, and communication with educational professionals.
  • Career Development: Captures postsecondary vocational awareness, career exploration, transition knowledge, and vocational self-advocacy.
• Administration Duration: Approximately 20 to 30 minutes under standard, un-timed conditions. Accommodations (e.g., text-to-speech, small-group administration) are fully permissible for students with documented disabilities.
• Scoring Procedure: Raw scores are summed or averaged within each domain. As all reverse-scored items were eliminated due to psychometric attenuation, scoring proceeds directly: higher composite and subscale scores uniformly reflect greater perceived readiness, self-efficacy, and mastery of transition competencies.

11. Permissions & Fee and Test Year

• Test Year: 2023 (Lombardi et al., 2023).
• Commercial Status: Non-commercial instrument.
• User Fee: No fee for non-commercial educational and academic research purposes.
• Permissions and Access: The CCR4T was developed under federal research funding aimed at enhancing secondary transition services. Educational institutions, school psychologists, and researchers may request permission to use or examine the instrument directly from the corresponding author, Dr. Allison R. Lombardi ([email protected]), at the Department of Educational Psychology, University of Connecticut.

12. References

Conley, D. T. (2007). Toward a more comprehensive conception of college readiness. Educational Policy Improvement Center. https://eric.ed.gov/?id=ED505397

Conley, D. T. (2010). College and career ready: Helping all students succeed beyond high school. Jossey-Bass. https://doi.org/10.1002/9781118269411

Lombardi, A. R., Rifenbark, G. G., Rogers, H. J., Swaminathan, H., Taconet, A., Mazzotti, V. L., Morningstar, M. E., Wu, R., & Langdon, S. (2023). Establishing construct validity of a measure of adolescent perceptions of college and career readiness. Career Development and Transition for Exceptional Individuals, 46(1), 4–14. https://doi.org/10.1177/21651434221081229

Lombardi, A. R., Freeman, J., & Rifenbark, G. G. (2020). Modeling college and career readiness for secondary students with and without disabilities. Career Development and Transition for Exceptional Individuals, 43(4), 227–238. https://doi.org/10.1177/2165143420917024

McCoach, D. B., Gable, R. K., & Madura, J. P. (2013). Instrument design in the affective domain: School and corporate applications (3rd ed.). Springer. https://doi.org/10.1007/978-1-4614-7135-6

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68

13. Items of the Scale