Introducing a science interest network model to reveal country differences.
Open accessAbstract
In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another within the development of interest. The dynamical relational perspective hypothesizes that the mutual interactions between interest components underlie the development of interest. Applying the SINM to the PISA 2015 data of 2 countries, that is, the Netherlands and Colombia, we were able to not only illuminate the structure of interactions between the different variables (i.e., indicators) in the networks of different groups of adolescents but we could also make predictions about which variables are of structural importance within the interest construct and as such worthwhile to test as potential candidates for intervention. Additionally, we were able to replicate earlier findings of the literature, namely that (a) enjoyment is central within the interest network and that (b) important structural differences exist in the interest network across countries, which, for instance, point to differences in domain specificity of interest between countries. While the network approach is sensitive to structural differences in science interest across countries, the network structure is stable across subgroups within countries. Future studies are proposed to test theoretically important assumptions of a dynamical perspective on interest, such as the causal role of different interest components in the development of interest.
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In Sachisthal et al. (2019), correlations between students' value of science, science engagement, and achievement were modeled as a network, within which clusters of variables emerged.
“This study included measures of students' value of science, their science engagement, and achievement.The correlations between these measures were modeled as a network, within which clusters of variables emerged.”
From Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda (2022) · cites this paper as Sachisthal et al., 2019
Sachisthal et al. (2019) showed that across populations different motivation constructs are central in the network of constructs.
“Sachisthal et al. (2019) also showed that across populations different motivation constructs are central in the network of constructs.”
From Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda (2022) · cites this paper as Sachisthal et al., 2019
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References 92 · Cited by 32
- Authors
- Sachisthal, M. S. M., Jansen, B. R. J., Peetsma, T. T. D., Dalege, J., van der Maas, H. L. J., & Raijmakers, M. E. J.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Sachisthal, Maien S. M.
- ORCID
- Venue
- Journal of Educational Psychology
- Published
- 2019-08
- Volume
- 111
- Issue
- 6
- Pages
- 1063-1080
- ISSN
- 0022-0663 (ISSN-L)
- 1939-2176
- OpenAlex
- W2904051897
- Cited by
- 32
- References
- 92
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 7 · 2023: 2 · 2022: 7 · 2021: 3 · 2020: 5 · 2019: 1
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- green
- handle.uba.uva.nl
- Licence
- other-oa
- Locations
- Journal of Educational Psychology (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
- VU Research Portal (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Netherlands Organisation for Scientific Research (022.006.0)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychological and Educational Research Studies
- Social Sciences › Safety Research › Career Development and Diversity
- Keywords
- science interest, interest development, cognitive interest, enjoyment, cross-national differences, adolescents, PISA 2015, network structure, science education
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