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Aricles

Multi-level classification of literacy of educators using PIAAC data

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Pages 441-456 | Received 10 Jul 2019, Accepted 11 Sep 2020, Published online: 19 Nov 2020
 

ABSTRACT

This study aims to identify the literacy skills of individuals whose highest level of education was in the field ‘teacher training and educational sciences’. The study sample comprised 10,618 individuals in the field of teacher training and educational sciences, selected from 31 countries (participating in the International Adult Skills Assessment Programme during the 2014–2015 survey) using a multi-stage sampling method. The study employed multi-level latent class analysis and three-step analysis in order to determine both the number of multi-level latent classes of educators’ literacy scores as well as the selected independent variables’ success in predicting those latent classes. The analysis revealed that educators in Germany constituted the group with the highest literacy skills while educators from Singapore comprised the group with the lowest literacy skills.

Acknowledgments

This study was presented at International Congress on 9th International Congress of Educational Research. Ordu University, Ordu, Turkey.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Notes on contributors

Seher Yalcin

Seher Yalcin Department of Measurement and Evaluation, Faculty of Educational Science, Ankara University, Turkey

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