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Big-Fish-Little-Pond Effects on Language and Math Self-Concept: Moderating Effects of Cognitive Ability

Klapp, Thea, 1993 (author)
Gothenburg University,Göteborgs universitet,Institutionen för pedagogik och specialpedagogik,Department of Education and Special Education
Johansson, Stefan, 1980 (author)
Gothenburg University,Göteborgs universitet,Institutionen för pedagogik och specialpedagogik,Department of Education and Special Education
Gustafsson, Jan-Eric, 1949 (author)
Gothenburg University,Göteborgs universitet,Institutionen för pedagogik och specialpedagogik,Department of Education and Special Education
 (creator_code:org_t)
2022
2022
English.
In: European Conference on Educational Research (ECER) European Educational Research Association (EERA).
  • Conference paper (other academic/artistic)
Abstract Subject headings
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  • The big-fish-little-pond effect (BFLPE) predicts that students who attend schools with higher school-average achievement, perceive their academic abilities to be lower compared to equally abled students who attend schools with lower school-average achievement (Trautwein et al., 2009). Such self-perceptions, like self-concept, are recognized to influence students' daily life, behaviour, and academic achievement, as well as their motivation and well-being (Marsh et al., 2019). This makes it important to examine if and how the relation between school-average achievement and student self-concept is influenced by moderation variables like cognitive ability and gender. The overall purpose of the study was to investigate the BFLPE with language and math self-concept, and to see whether the BFLPE varied as a function of cognitive ability, with language and math self-concept respectively. The study draws on data from the Swedish longitudinal project Evaluation through Follow-up (Utvärdering genom Uppföljning, UGU).

Subject headings

SAMHÄLLSVETENSKAP  -- Utbildningsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Educational Sciences (hsv//eng)

Keyword

Self-concept; big-fish-little-pond effect; grade point average (GPA); cognitive ability; multilevel latent variable modelling

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