Interest Fit Beyond the RIASEC: The Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET)

Over the past half-century, Holland’s RIASEC model has dominated vocational interest research. Although the RIASEC categories effectively capture general occupational themes, their breadth obscures meaningful variability across underlying basic interests , which are more refined interest scales. In this research, we adapted the Comprehensive Assessment of Basic Interests (CABIN; Su et ., 2019) to be used alongside O*NET for assessing interest fit, resulting in the 60-item CABIN-NET that measures 20 basic interest scales organized under RIASEC domains. In Study 1, we refined items for the CABIN-NET using a nationally representative adult sample ( N = 768). In Studies 2 and 3, we collected extensive reliability and validity evidence using longitudinal samples of graduates from four-year universities ( N = 816) and community colleges ( N = 560). Across samples, results consistently showed that basic interest fit had stronger predictive power for career outcomes compared to RIASEC fit. Overall, the CABIN-NET provides a short, reliable measure of both basic interests and RIASEC interests, offering two ways of assessing person-occupation fit and balancing bandwidth and fidelity. The CABIN-NET also offers a new content-based connection between basic interests and occupational knowledge, providing theoretical and practical implications for incorporating basic interests into person-environment fit research and applications.

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Publication Details

Journal
Journal of Career Assessment
Published
2025-03-17
DOI
https://doi.org/10.1177/10690727251322520
Citations
1
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
1.30
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article

Interest Fit Beyond the RIASEC: The Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET)

Nicholas F. Heimpel, Kevin A. Hoff, James Rounds, Anthony J. Greco et al.
1 citations
Journal of Career Assessment
Technology Assessment and Management
1.30
article

Interest Fit Beyond the RIASEC: The Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET)

Nicholas F. Heimpel, Kevin A. Hoff, James Rounds, Anthony J. Greco, Chu Chu, Frederick L. Oswald, Zihan Liu
article en
1 citations

Abstract

Over the past half-century, Holland’s RIASEC model has dominated vocational interest research. Although the RIASEC categories effectively capture general occupational themes, their breadth obscures meaningful variability across underlying basic interests , which are more refined interest scales. In this research, we adapted the Comprehensive Assessment of Basic Interests (CABIN; Su et ., 2019) to be used alongside O*NET for assessing interest fit, resulting in the 60-item CABIN-NET that measures 20 basic interest scales organized under RIASEC domains. In Study 1, we refined items for the CABIN-NET using a nationally representative adult sample ( N = 768). In Studies 2 and 3, we collected extensive reliability and validity evidence using longitudinal samples of graduates from four-year universities ( N = 816) and community colleges ( N = 560). Across samples, results consistently showed that basic interest fit had stronger predictive power for career outcomes compared to RIASEC fit. Overall, the CABIN-NET provides a short, reliable measure of both basic interests and RIASEC interests, offering two ways of assessing person-occupation fit and balancing bandwidth and fidelity. The CABIN-NET also offers a new content-based connection between basic interests and occupational knowledge, providing theoretical and practical implications for incorporating basic interests into person-environment fit research and applications.

Journal of Career AssessmentVol. 34(2)
University of Minnesota (US), University of Illinois Urbana-Champaign (US), Lafayette College (US), University of Minnesota System (US), Rice University (US), University of Illinois at Springfield (US), Michigan State University (US)
Openalex Percentile: Top 24%
Technology Assessment and Management
1.30
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