Student Evaluation of Teachers’ Effectiveness (SETE) scale: translation, cross-cultural adaptation and psychometric properties in a Latin American sample

Miluska Villar-Guevara, José Livia-Segovia, E. García-Salirrosas, Israel Fernández-Mallma
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Abstract

Teacher effectiveness is a burgeoning field. Those responsible for educational policies seem increasingly committed to this fact, since it is one of the most important factors that influence the success of a university student; for this reason, the study of this topic has gained relevance in recent years. Therefore, an instrument with adequate psychometric properties is needed to measure this construct in Spanish-speaking countries.The study had the purpose of translating, adapting, and evaluating the internal structure, providing evidence of reliability and validity of the Student Evaluation of Teachers’ Effectiveness (SETE) Scale in a Latin American sample.An instrumental study was carried out and through convenience sampling, data were collected from 1,000 university students from South America belonging to a private educational network. The participants were between 18 and 40 years old (M = 21.25, SD = 2.99). Analyzes used Structural Equation Modeling (SEM) with AMOS 24 statistical software.Confirmatory Factor Analysis provided a 4-factor, 28-item fit model (CMIN/DF = 4.359; CFI = 0.956; SRMR = 0.030; RMSEA = 0.058). The results demonstrated good internal consistency (α = between 0.927 and 0.961; CR = between 0.927 and 0.962; AVE = between 0.646 and 0.799). Evidence of validity and reliability was obtained for the total sample.This adaptation and validation of the SETE scale makes it a valid, useful, reliable, and necessary tool that can be considered to evaluate teachers’ effectiveness from the perspective of university students.
学生对教师工作成效的评价量表(SETE):拉丁美洲样本的翻译、跨文化适应性和心理测量特性
教师效能是一个新兴领域。负责教育政策的人员似乎越来越重视这一事实,因为它是影响大学生成功的最重要因素之一;因此,近年来对这一主题的研究越来越具有现实意义。本研究的目的是翻译、改编和评估内部结构,为拉丁美洲样本中学生对教师工作成效的评价量表(STE)的可靠性和有效性提供证据。我们开展了一项工具性研究,通过方便抽样,从南美洲属于私立教育网络的 1000 名大学生中收集了数据。参与者的年龄在 18 至 40 岁之间(中位数 = 21.25,标准差 = 2.99)。使用 AMOS 24 统计软件进行结构方程建模(SEM)分析。确证因子分析提供了一个 4 个因子、28 个项目的拟合模型(CMIN/DF = 4.359;CFI = 0.956;SRMR = 0.030;RMSEA = 0.058)。结果显示了良好的内部一致性(α = 在 0.927 和 0.961 之间;CR = 在 0.927 和 0.962 之间;AVE = 在 0.646 和 0.799 之间)。对 SETE 量表的改编和验证使其成为一个有效、有用、可靠和必要的工具,可用于从大学生的角度评价教师的教学效果。
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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