Introducing a Science Interest Network Model to Reveal Country Differences
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| Title: | Introducing a Science Interest Network Model to Reveal Country Differences |
|---|---|
| Language: | English |
| Authors: | Sachisthal, Maien S. M., Jansen, Brenda R. J., Peetsma, Thea T. D., Dalege, Jonas, van der Maas, Han L. J., Raijmakers, Maartje E. J. |
| Source: | Journal of Educational Psychology. Aug 2019 111(6):1063-1080. |
| Availability: | American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org |
| Peer Reviewed: | Y |
| Page Count: | 18 |
| Publication Date: | 2019 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Secondary Education |
| Descriptors: | Foreign Countries, Comparative Education, Secondary School Students, Student Interests, Science Interests, Networks, Models, Achievement Tests, International Assessment, Predictor Variables, Network Analysis, Learner Engagement, Self Efficacy, Gender Differences, Socioeconomic Status |
| Geographic Terms: | Netherlands, Colombia |
| Assessment and Survey Identifiers: | Program for International Student Assessment |
| DOI: | 10.1037/edu0000327 |
| ISSN: | 0022-0663 |
| Abstract: | 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. |
| Abstractor: | As Provided |
| Entry Date: | 2019 |
| Accession Number: | EJ1223179 |
| Database: | ERIC |
| Abstract: | 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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| ISSN: | 0022-0663 |
| DOI: | 10.1037/edu0000327 |
