单维测验合成信度元分析  

A Meta-Analytic Method for Composite Reliability of A Unidimensional Test

作　　者：叶宝娟[1] 温忠麟[2] 胡竹菁[1] 

机构地区：[1]江西师范大学心理学院,南昌330022 [2]华南师范大学心理应用研究中心,广州510631

出　　处：《心理科学》2013年第6期1464-1469,共6页Journal of Psychological Science

基　　金：国家自然科学基金(31271116)中国博士后科学基金项目(2013MS40535);教育部人文社科重点研究基地项目(11JJD190005);教育部人文社会科学研究青年基金项目(13YJC190029);江西省博士后科研择优资助项目(2013KY08);江西省教育规划课题(文化疏离感对江区少数民族大学生幸福感的影响机制--以江西为例);江西师范大学2012年第二批青年成长基金项目和江西师范大学青年英才培育资助计划的资助

摘　　要：元分析是根据现有研究对感兴趣的主题得出比较准确和有代表性结论的一种重要方法,在心理、教育、管理、医学等社会科学研究中得到广泛应用。信度是衡量测验质量的重要指标,用合成信度能比较准确的估计测验信度。未见有文献提供合成信度元分析方法。本研究在比较对参数进行元分析的三种模型优劣的基础上,在变化系数模型下推出合成信度元分析点估计及区间估计的方法;以区间覆盖率为衡量指标,模拟研究表明本研究提出的合成信度元分析区间估计的方法得当;举例说明如何对单维测验的合成信度进行元分析。Meta - analysis has become an indispensable tool for reaching accurate and representative conclusions about topics of interest within a body of literature. Meta - analysis can also play a very important role in designing new research. Meta - analysis is one way to obtain narrower confidence intervals. The confidence interval for the average parameter value will often be considerably narrower, and hence more informative, than the parameter confidence interval obtained from a single study. An increase in external validity is an add- ed benefit of averaging parameter estimates from multiple studies （ Bonett, 2009）. Test reliability is often used to reflect measurement consistency and stability. Haase （ 1998 ） referred to meta - analysis methods of reliability estimates as reliability generalization. Meta - analysis of reliability estimates may be used to obtain more accurate reliability estimates （narrower confidence intervals ）. Composite reliability can better estimate reliability by using confirmatory factor analysis （Wen ＆ Ye, 2011 ）. Meta- analysis of composite reliability can better evaluate test quality. There are three statistical models to do meta - analysis ： the constant coefficient model, the random coefficient model, and the var- ying coefficient model. In general, compared to constant coefficient or random coefficient models, varying coefficient model is recom- mended to do meta - analysis, which can be used in a much wider range of problems. Under varying coefficient model, we proposed a method to compute point estimates and confidence intervals for the average composite reliability coefficient of a unidimensional test. To evaluate the confidence interval for the average composite reliability coefficient obtained by our proposed method, a simulation study was conducted to assess the performance of our proposed method under a wide range of conditions. Four factors were considered in the simulation design ： （a） the number of study （ m = 5, 10, and 20） ; （b） the number

关 键 词：信度 合成信度 元分析 置信区间 

分 类 号：B842[哲学宗教—基础心理学]