TY - JOUR
T1 - Introducing a science interest network model to reveal country differences
AU - Sachisthal, Maien S. M.
AU - Jansen, Brenda R. J.
AU - Peetsma, Thea T. D.
AU - Dalege, Jonas
AU - van der Maas, Han L. J.
AU - Raijmakers, Maartje E. J.
PY - 2019/8/1
Y1 - 2019/8/1
N2 - 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.
AB - 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.
KW - Adolescents
KW - Network models
KW - PISA 2015
KW - Science interest
KW - Self-efficacy
UR - http://www.scopus.com/inward/record.url?scp=85058420428&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058420428&partnerID=8YFLogxK
U2 - 10.1037/edu0000327
DO - 10.1037/edu0000327
M3 - Article
SN - 0022-0663
VL - 111
SP - 1063
EP - 1080
JO - Journal of Educational Psychology
JF - Journal of Educational Psychology
IS - 6
ER -