Exploring the Components of Multicultural Competence among Pre-Service Teacher Students in Thailand: An Approach Utilizing Confirmatory Factor Analysis.

IF 3 Q1 PSYCHOLOGY, CLINICAL
Bovornpot Choompunuch, Khanika Kamdee, Prakittiya Taksino
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Abstract

The aim of this study is to examine the components of multicultural competence among pre-service teacher students in Thailand and to develop and assess the reliability of a model of multicultural competence for pre-service teacher students in Thailand. Multistage stratified random sampling was utilized to recruit 600 pre-service teacher students from undergraduate education programs at the Faculty of Education in Thailand. Data were collected through self-report questionnaires. The data analysis employed descriptive statistics and second-order confirmatory factor analysis (CFA). The findings indicate that multicultural competence among pre-service teacher students comprises three components: cultural awareness, cultural knowledge, and personal skills. Furthermore, this study identified that the model of multicultural competence among pre-service teacher students demonstrated good fit indices for the modified model (χ2 = 30.902, df = 21, p-value = 0.0753, χ2/df = 1.472; root mean square error of approximation (RMSEA) = 0.028; standardized root means square residual (SRMR) = 0.013; Tucker-Lewis index (TLI) = 0.996; comparative fit index (CFI) = 0.999). Based on these findings, effective teaching in diverse environments necessitates a thorough understanding of multicultural competence.

探索泰国职前师范生多元文化能力的构成要素:利用确证因子分析的方法。
本研究旨在考察泰国职前师范生多元文化能力的构成要素,并开发和评估泰国职前师范生多元文化能力模型的可靠性。研究采用多阶段分层随机抽样的方法,从泰国教育学院的本科教育专业中招募了 600 名职前师范生。数据通过自我报告问卷收集。数据分析采用了描述性统计和二阶确证因子分析(CFA)。研究结果表明,职前师范生的多元文化能力由三个部分组成:文化意识、文化知识和个人技能。此外,本研究还发现,职前师范生多元文化能力模型在修正模型中表现出良好的拟合指数(χ2 = 30.902, df = 21, p-value = 0.0753,χ2/df = 1.472;均方根近似误差(RMSEA)= 0.028;标准化均方根残差(SRMR)= 0.013;塔克-刘易斯指数(TLI)= 0.996;比较拟合指数(CFI)= 0.999)。根据上述研究结果,要在多元化环境中进行有效教学,就必须充分了解多元文化能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.40
自引率
12.50%
发文量
111
审稿时长
8 weeks
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