Emmy de Kraker-Pauw, Floryt van Wesel, Lydia Krabbendam, Nienke van Atteveldt
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Students' beliefs about the nature of intelligence (mindset).
Important adolescents' career-related decisions might be influenced by their beliefs about malleability of intelligence and learning (mindset). We combined quantitative and qualitative data to provide in-depth insights in the beliefs that 13-14-year-olds hold about learning and intelligence, the factors influencing these beliefs, and the consequences of these beliefs in relation to classroom behaviour and study choices. To establish students' mindsets quantitatively, we categorised theory of intelligence questionnaire (TOI; Dweck, 1999) averaged scores into three levels: entity, intermediate or incremental mindsets, to provide insight into the distribution of the different mindset types in our sample (N = 492). The results of this quantitative study show that more than half of the students believed intelligence is "fixed" (entity mindset), these data showed no effect of gender. To gain more in-depth insight in the views of these students, focus groups about mindset and its influences and consequences were held in a subsample (n = 176). The qualitative data provide more nuanced insights, for example they reveal subtle gender differences regarding effort beliefs and motivation. Integrated discussion of the quantitative and qualitative results demonstrates that this multi-method approach reflects the complexity of the concept mindset better than only the widely used TOI questionnaire.
期刊介绍:
The aim of the Journal of Adolescent Research is to publish lively, creative, and informative articles on development during adolescence (ages 10-18) and emerging adulthood (ages 18-25). The journal encourages papers that use qualitative, ethnographic, or other methods that present the voices of adolescents. Few strictly quantitative, questionnaire-based articles are published in the Journal of Adolescent Research, unless they break new ground in a previously understudied area. However, papers that combine qualitative and quantitative data are especially welcome.