Multiple mini-interviews as a selection tool for initial teacher education admissions
TEACHING AND TEACHER EDUCATION(2022)
摘要
This study investigates the reliability of multiple mini interviews (MMIs) to select students for classroom and special education teacher programs (n = 418) using intraclass correlations and cross-classified multilevel modeling. The results indicated mostly small effects of clustering of applicants to different interviewers and five-station circuits. The largest variance components in the MMI total score were for applicants (63.3%) and measurement error (20.6%), while the variance component for the interviewer was relatively small (11.6-14.4%). The applicants' and interviewers' perceptions were positive. This study provides evidence for the use of MMIs as a reliable tool for initial teacher education selection. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
更多查看译文
关键词
Multiple mini interviews, Student selection, Initial teacher education, Gender, Age
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要