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特拉华学生卷入度量表(学生卷)中文版修订 被引量:4

Reliability and Validity of the Chinese Version of Delaware Student Engagement Scale-Student
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摘要 目的:检验特拉华学生卷入度量表(学生卷)(DSES-S)在中国青少年中的信、效度。方法:应用中文版特拉华学生卷入度量表对3119名中小学生施测,三周后抽取其中173名被试进行重测;以特拉华校园氛围量表(DSCSS),流调中心用抑郁量表(CES-D)和学生生活满意度量表(SLSS)为效标工具检验其效标关联效度。结果:①验证性因素分析支持量表的二因素结构模型,中文版结构与原量表一致;②二因子模型各主要拟合指标:RMSEA=0.062;CFI=0.944; TLI=0.925; SRMR=0.042; S-Bχ~2=359.479;DSES-S与DSCS-S、SLSS、CES-D的相关系数分别为0.600、0.382和-0.506(P<0.01);③总量表的α系数为0.854,三周后的重测信度为0.662;④中文版特拉华学生卷入度(学生卷)量表的跨性别等值成立,跨年级组的形态和弱等值成立。结论:特拉华学生卷入度量表(2013版学生卷)(DSESS)中文版具有良好的信效度,等值研究结果表明,量表具有跨性别完全等值性,小学、初中和高中三个年级段间具有完全的形态和弱等值性。 Objective:To investigate the reliability and validity of the Chinese version of Delaware Student Engagement Scale-Student(DSES-S).Methods:3119 students were measured,173 of which participated the test-retest 3 weeks later;DSCS-S,SLSS and CES-D were used as the criteria-related validity instrument.Results:①Confirmatory factor analysis showed that the structure of the scale was rational:RMSEA=0.062;CFI=0.944;TLI=0.925;SRMR=0.042;S-Bχ~2=27364.873;②For the total score of DSES-S,the correlation coefficients were 0.600 to DSCS-S,0.382 to SLSS,-0.506 to CES-D;③Cornbach’s alpha coefficients of the scale was 0.854,and the test-retest reliability was 0.662;④The multigroup analysis indicated the model of DSES-S achieved configural,metric,and scalar measurement invariances across gender groups,configural and metric measurement invariances was achieved across grade groups.Conclusion:The Chinese version of DSES-S has sound psychometric properties.
作者 谢家树 覃凤荣 George Bear 傅瑶 XIE Jia-shu;QIN Feng-rong;George Bear;FU Yao(Cognition&Human Behavior Key Laboratory of Hunan Province,Hunan Normal University,Changsha410081,China;University of Delaware,Newark,DE,19716,USA;Zhuzhou Gofront Middle School,Zhuzhou412001,China)
出处 《中国临床心理学杂志》 CSSCI CSCD 北大核心 2019年第2期277-281,共5页 Chinese Journal of Clinical Psychology
基金 湖南省自然科学基金课题:青少年欺负受害与抑郁关系的追踪:基于潜变量混合增长模型的研究(项目编号:2017JJ2184)
关键词 特拉华学生卷入度量表(学生卷) 信度 效度 测量等值 Delaware Student Engagement Scale-Student Reliability Validity Measurement Invariance
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