The interplay between domain-specific knowledge and selected investment traits across the life span

Rusche, Marianna Massimilla; Ziegler, Matthias

doi:10.1016/j.intell.2022.101647

Cited by 6 publications

(8 citation statements)

References 41 publications

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“…The math/science complex has been shown to correlate positively with all knowledge areas, but it relates most strongly to science knowledge ( Ackerman et al 2001 ). Research on interests and knowledge also demonstrates relations between Realistic and Investigative interests with physical science knowledge ( Reeve and Hakel 2000 ; Rusche and Ziegler 2022 ). In addition, individuals with high spatial or mathematical ability are more likely to select majors in the physical sciences, suggesting a propensity for this subject matter ( Wai et al 2009 ).…”

Section: Introductionmentioning

confidence: 99%

Interest–Ability Profiles: An Integrative Approach to Knowledge Acquisition

2022

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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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Section: Introductionmentioning

confidence: 99%

Interest–Ability Profiles: An Integrative Approach to Knowledge Acquisition

2022

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“…Here, it could be shown that a theoretically assumed mean difference between gifted and non-gifted persons exists. In combination with the reliability estimates and prior validity evidence ( Rusche and Ziegler 2022 ), there is sufficient evidence to support the use of the DoKnow Test in research settings.…”

Section: Discussionmentioning

confidence: 92%

“…Overall, age ranged between 15 and 92 years. Scores form the DoKnow Test were also investigated with regard to their relations to age, interests, and investment traits ( Rusche and Ziegler 2022 ). Although the participants of the second group did not complete a Gf test, several studies have shown that cognitive ability scores exceeding an IQ of 130 are very rare even in selected groups.…”

Section: Methodsmentioning

confidence: 99%

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Measuring Domain-Specific Knowledge: From Bach to Fibonacci

Rusche

Ziegler

2023

J. Intell.

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Along with crystallized intelligence (Gc), domain-specific knowledge (Gkn) is an important ability within the nomological net of acquired knowledge. Although Gkn has been shown to predict important life outcomes, only a few standardized tests measuring Gkn exist, especially for the adult population. Complicating things, Gkn tests from different cultural circles cannot simply be translated as they need to be culture specific. Hence, this study aimed to develop a Gkn test culturally sensitive to a German population and to provide initial evidence for the resulting scores’ psychometric quality. Existing Gkn tests often mirror a school curriculum. We aimed to operationalize Gkn not solely based upon a typical curriculum to investigate a research question regarding the curriculum dependence of the resulting Gkn structure. A set of newly developed items from a broad range of knowledge categories was presented online to 1450 participants divided into a high (fluid intelligence, Gf) Gf (n = 415) and an unselected Gf subsample (n = 1035). Results support the notion of a hierarchical model comparable to the one curriculum-based tests scores have, with one factor at the top and three narrower factors below (Humanities, Science, Civics) for which each can be divided into smaller knowledge facets. Besides this initial evidence regarding structural validity, the scale scores’ reliability estimates are reported, and criterion validity-related evidence based on a known-groups design is provided. Results indicate the psychometric quality of the scores and are discussed.

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“…A highly niche theme included g -factor, mental speed, and Spearman’s Law (see Coyle 2022a ; Feraco and Cona 2022 ; Tatel et al 2022 ). Peripheral declining themes included the Flynn effect and general cognitive ability (see Gonthier and Grégoire 2022 ) and personality (see Ganzach and Zisman 2022 ; Rusche and Ziegler 2022 ).…”

Section: Resultsmentioning

confidence: 99%

The Evolution of Intelligence: Analysis of the Journal of Intelligence and Intelligence

2023

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What are the current trends in intelligence research? This parallel bibliometric analysis covers the two premier journals in the field: Intelligence and the Journal of Intelligence (JOI) between 2013 and 2022. Using Scopus data, this paper extends prior bibliometric articles reporting the evolution of the journal Intelligence from 1977 up to 2018. It includes JOI from its inception, along with Intelligence to the present. Although the journal Intelligence’s growth has declined over time, it remains a stronghold for traditional influential research (average publications per year = 71.2, average citations per article = 17.07, average citations per year = 2.68). JOI shows a steady growth pattern in the number of publications and citations (average publications per year = 33.2, average citations per article = 6.48, total average citations per year = 1.48) since its inception in 2013. Common areas of study across both journals include cognitive ability, fluid intelligence, psychometrics–statistics, g-factor, and working memory. Intelligence includes core themes like the Flynn effect, individual differences, and geographic IQ variability. JOI addresses themes such as creativity, personality, and emotional intelligence. We discuss research trends, co-citation networks, thematic maps, and their implications for the future of the two journals and the evolution and future of the scientific study of intelligence.

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The interplay between domain-specific knowledge and selected investment traits across the life span

Cited by 6 publications

References 41 publications

Interest–Ability Profiles: An Integrative Approach to Knowledge Acquisition

Interest–Ability Profiles: An Integrative Approach to Knowledge Acquisition

Measuring Domain-Specific Knowledge: From Bach to Fibonacci

The Evolution of Intelligence: Analysis of the Journal of Intelligence and Intelligence

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