第二语言特质情绪智力(L2-TEI)量表及其与语言参与的关系。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-01 DOI:10.1016/j.actpsy.2024.104511
Abdullah Alamer , Fakieh Alrabai
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引用次数: 0

摘要

本研究测试了 415 名语言学习者的语言领域特质情绪智力(L2-TEI)量表的心理测量特性和因子效度,并评估了其在预测语言参与度方面的标准效度。该量表由四个因子组成--情绪(EM)、自控(SC)、幸福(WB)和交际(SO)。我们采用了四种模型来验证该量表:确认性因素分析(CFA)、探索性结构方程模型(ESEM)、双因素 CFA 和双因素 ESEM,以评估 L2-TEI 量表的因子效度。研究结果表明,ESEM 比 CFA 提供了更有效的结果,其中拟合效果最好的模型是双因素 ESEM。双因子 ESEM 证实了四个 L2-TEI 特定因子,同时考虑了 TEI 的总体因子。标准相关效度检验表明,结构双因素 ESEM 解释了作为结果变量的学习者参与度方差的 73%,总体 TEI 以及 SO 和 WB 的特定因素是语言参与度的预测因素。这些研究结果证明了 L2-TEI 量表在评估学生 L2 领域的 TEI 方面的有效性。最后,研究结果强调了采用特定特质情商来了解学生语言学习成果(如参与度)的重要性。
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The second language trait emotional intelligence (L2-TEI) scale and its relation to language engagement
This study tested the psychometric properties and factorial validity of the language domain-specific trait emotional intelligence (L2-TEI) scale among 415 language learners and assessed its criterion validity in predicting language engagement. The scale consistes of four factors—emotionality (EM), self-control (SC), wellbeing (WB), and sociability (SO). Four models we considered to validate the scale: confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), bifactor CFA, and bifactor ESEM were employed to evaluate the factorial validity of the L2-TEI scale. The findings showed that ESEM provided more valid results than CFA with the best fitted model being the bifactor ESEM. The bifactor ESEM has substantiated four L2-TEI specific factors while accounting for the global factor of TEI. The test of criterion-related validity indicated that the structural bifactor ESEM explained 73 % of the variance in learner engagement as an outcome variable, with the global TEI and the specific factors of SO and WB being the predictors of language engagement. These findings support the validity of the L2-TEI scale for assessing students' TEI in the L2 domain. Finally, the findings highlight the imprtance of adopting specific trait emotional intelligence to understand students' language learning outcomes such as engagement.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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