Multi-level classification of literacy of educators using PIAAC data

被引:0
作者
Yalcin, Seher [1 ]
机构
[1] Ankara Univ, Fac Educ Sci, Ankara, Turkey
关键词
PIAAC; teachers; educators; literacy; multilevel latent class analysis; TEACHERS MATHEMATICAL KNOWLEDGE; STUDENT-ACHIEVEMENT; GENDER GAPS; PERFORMANCE; SKILLS;
D O I
10.1080/02671522.2020.1849375
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:441 / 456
页数:16
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