A Modeling Approach to Identify Academically Resilient Students: Evidence From PIRLS 2016

• In Event: Applications of New Analysis Methods to Large-Scale Assessments

Abstract

Academic resilience is difficult to define in an international setting, since economic levels and achievement standards vary across countries and over time. In studies of academic resilience, the concept is typically operationalized using pre-defined cut-offs of achievement and social background. The main objective of the current study is to apply a modelling approach to identify academically resilient students. Data come from educational systems in the Progress in International Reading Literacy Study 2016. Main method was latent profile analysis. The current study showed that it was possible to identify a group of academically resilient students using a set of indicators indicating positive adaptation in terms of higher reading achievement than expected and higher levels on protective factors like school belongingness.

Authors

• Stefan Johansson, University of Gothenburg

• Kajsa Yang Hansen, University of Gothenburg

• Cecilia Thorsen, University West