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
相关论文
共 50 条
  • [1] Using PIAAC data to learn more about the literacy practices of adults
    Nienkemper, Barbara
    Grotlueschen, Anke
    INTERNATIONAL JOURNAL OF LIFELONG EDUCATION, 2019, 38 (04) : 393 - 405
  • [2] GraphoGame - a catalyst for multi-level promotion of literacy in diverse contexts
    Ojanen, Emma
    Ronimus, Miia
    Ahonen, Timo
    Chansa-Kabali, Tamara
    February, Pamela
    Jere-Folotiya, Jacqueline
    Kauppinen, Karri-Pekka
    Ketonen, Ritva
    Ngorosho, Damaris
    Pitkanen, Mikko
    Puhakka, Suzanne
    Sampa, Francis
    Walubita, Gabriel
    Yalukanda, Christopher
    Pugh, Ken
    Richardson, Ulla
    Serpell, Robert
    Lyytinen, Heikki
    FRONTIERS IN PSYCHOLOGY, 2015, 6
  • [3] Factors related to digital reading achievement: A multi-level analysis using international large scale data
    Lim, Hyo Jin
    Jung, Hyekyung
    COMPUTERS & EDUCATION, 2019, 133 : 82 - 93
  • [4] Development accounting using PIAAC data
    Ana Hidalgo-Cabrillana
    Zoë Kuehn
    Cristina Lopez-Mayan
    SERIEs, 2017, 8 : 373 - 399
  • [5] Development accounting using PIAAC data
    Hidalgo-Cabrillana, Ana
    Kuehn, Zoe
    Lopez-Mayan, Cristina
    SERIES-JOURNAL OF THE SPANISH ECONOMIC ASSOCIATION, 2017, 8 (04): : 373 - 399
  • [6] Literacy coaching to improve student reading achievement: A multi-level mediation model
    Matsumura, Lindsay Clare
    Garnier, Helen E.
    Spybrook, Jessaca
    LEARNING AND INSTRUCTION, 2013, 25 : 35 - 48
  • [7] Making the Most of Clustered Data in Laboratory Animal Research Using Multi-Level Models
    Pearl, David L.
    ILAR JOURNAL, 2014, 55 (03) : 486 - 492
  • [8] Education, educational mismatch and occupational status: an analysis using PIAAC data
    Huertas, Ines P. Murillo
    Raymond, Jose L.
    ECONOMIA POLITICA, 2024, 41 (03) : 717 - 738
  • [9] Metaheuristic Optimized Multi-Level Classification Learning System for Engineering Management
    Chou, Jui-Sheng
    Trang Thi Phuong Pham
    Ho, Chia-Chun
    APPLIED SCIENCES-BASEL, 2021, 11 (12):
  • [10] Literacy and Digital Problem -solving Skills in the 21st Century: What PIAAC Says about Educators in the United States, Canada, Finland and Japan
    Cai, Jinghong
    Gut, Dianne
    TEACHING EDUCATION, 2020, 31 (02) : 177 - 208