Multi-level classification of literacy of educators using PIAAC data

YALÇIN S.

RESEARCH PAPERS IN EDUCATION, vol.37, no.3, pp.441-456, 2022 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 3
  • Publication Date: 2022
  • Doi Number: 10.1080/02671522.2020.1849375
  • Journal Name: RESEARCH PAPERS IN EDUCATION
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, International Bibliography of Social Sciences, EBSCO Education Source, Education Abstracts, Educational research abstracts (ERA), ERIC (Education Resources Information Center)
  • Page Numbers: pp.441-456
  • Keywords: PIAAC, teachers, educators, literacy, multilevel latent class analysis, TEACHERS MATHEMATICAL KNOWLEDGE, STUDENT-ACHIEVEMENT, GENDER GAPS, PERFORMANCE, SKILLS
  • Ankara University Affiliated: Yes

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.