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Multi-level classification of literacy of educators using PIAAC data
Research Papers in Education ( IF 2.1 ) Pub Date : 2020-11-19 , DOI: 10.1080/02671522.2020.1849375
Seher Yalcin 1
Affiliation  

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.



中文翻译:

使用 PIAAC 数据对教育者的素养进行多层次分类

摘要

本研究旨在确定在“教师培训和教育科学”领域接受最高教育的个人的读写能力。研究样本包括教师培训和教育科学领域的 10,618 名个人,他们使用多阶段抽样方法从 31 个国家(参与 2014-2015 年调查期间的国际成人技能评估计划)中选出。该研究采用多层次潜类分析和三步分析,以确定教育者识字分数的多层次潜类数量以及所选自变量在预测这些潜类方面的成功程度。

更新日期:2020-11-19
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