修订的两因素学习过程问卷因素结构的探查

发布时间：2018-01-29 13:41

本文关键词： R-SPQ-F 因素结构交互验证测量等价性检验　出处：《安徽师范大学学报(人文社会科学版)》2013年04期 　论文类型：期刊论文

【摘要】：目的:探查修订的两因素学习过程问卷(R-SPQ-2F)的因素结构,以保证该量表的正确使用。方法:运用两所中国大学的学生样本(n1=459,n2=383)在R-SPQ-2F上的测查数据,在探索性因素分析中综合运用特征根大于1、碎石图、平行分析和最小平均偏相关等方法确定保留的因素数目,在验证性因素分析通过多个拟合指数综合考察5个竞争模型,并对筛选出的最佳拟合模型进行跨样本的测量等价性检验以考察量表因素结构的稳健性。结果:(1)R-SPQ-2F的潜在结构是一个由深层方式及与表层方式构成的一阶两因素模型;(2)在5个竞争性模型中,这个一阶两因素模型为最佳拟合模型;(3)该模型具有跨样本的测量严等价性。结论:R-SPQ-2F是由深层学习方式与表层学习方式构成的一阶两因素模型,每一因素由相应的10个项目测量。
[Abstract]:Objective: to explore the factor structure of the revised two-factor learning process questionnaire (R-SPQ-2F) in order to ensure the correct use of the scale. The data measured on R-SPQ-2F were used in exploratory factor analysis with characteristic root > 1 and lithotripsy map. Parallel analysis and minimum average partial correlation were used to determine the number of retained factors. In confirmatory factor analysis, five competitive models were comprehensively investigated by multiple fitting indices. The best fitting model was tested by cross-sample measurement equivalence test to study the robustness of the scale factor structure. Results: 1). The potential structure of R-SPQ-2F is a first-order two-factor model composed of deep mode and surface mode. 2) among the 5 competitive models, this one order two factor model is the best fit model; Conclusion: the ratio R-SPQ-2F is a first-order two-factor model composed of deep learning style and surface learning style. Each factor is measured by the corresponding 10 items.
【作者单位】：安徽师范大学教育科学学院;
【基金】：全国教育科学“十一五”规划教育部重点课题(DFA100233)
【分类号】：G424
【正文快照】： 1引言学习方式是学习者为获得学习成功而采用的学习策略,既包括学习者的学习意向也包括学习者加工信息的方式。按照Biggs的“3P”理论,学习者的学习方式属加工系统(Process),由学习动机(为何学习)与相应的学习策略(如何学习)组成,受学习者个人因素和环境背景特征等预测因子(Pr

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