Interest–Ability Profiles: An Integrative Approach to Knowledge Acquisition
Open accessAbstract
Cognitive abilities and interests both play an important role in guiding knowledge acquisition, but most previous studies have examined them separately. The current study used a large and representative dataset to integrate interests and abilities using a person-centered approach that examines how distinct profiles of interests and abilities relate to individual strengths and weaknesses in knowledge. Two key findings emerged. First, eight interest–ability profiles were generated from Latent Profile Analysis (LPA), which replicated and extended the interrelations of interests and abilities found in previous studies using variable-centered approaches. Second, each profile’s strongest knowledge scores corresponded to their strongest abilities and interests, highlighting the importance of interest–ability profiles for guiding the development of knowledge. Importantly, in some domains, the lower ability profiles were actually more knowledgeable than higher ability profiles. Overall, these findings suggest that people learn best when given opportunities to acquire knowledge relevant to both their interests and abilities. We discuss how interest–ability profiles inform integrative theories of psychological development and present implications for education and career development.
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Interests provide the direction and motivation through which individuals apply their intellect to accumulate knowledge, which in turn strengthens their ability to excel in specific domains.
“Interests provide the direction and motivation through which individuals apply their intellect to accumulate knowledge, which in turn strengthens their ability to excel in specific domains (Ackerman, 1996;Hyland et al., 2022;Nye et al., 2021).”
From Interest Fit Beyond the RIASEC: The Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET) (2026) · cites this paper as Hyland et al., 2022
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- Authors
- Hyland, W. E., Hoff, K. A., & Rounds, J.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of Houston (US)
- Corresponding author
- Hyland, William E.
- Venue
- Journal of Intelligence
- Publisher
- MDPI AG
- Published
- 2022-07-16
- Volume
- 10
- Issue
- 3
- Pages
- 43
- ISSN
- 2079-3200 (ISSN-L)
- PMC
- PMC9326565
- OpenAlex
- W4285732679
- Cited by
- 21
- References
- 88
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 1 · 2023: 5
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Intelligence (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
- Keywords
- cognitive ability, interest, knowledge acquisition, person-centered approach, latent profiles, interest profiles, psychological development, career development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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