整合数据分析(IDA)方法是继元分析方法之后发展起来的一种综合分析方法,与元分析不同,它是一类可同时对多个独立研究的原始数据的合并数据集进行综合分析的统计分析技术。IDA充分利用已有的数据资源,在分析过程中综合了多个研究的信息,可解决一些单一研究不能解决的问题。获得对研究结果进一步的理解,在心理研究应用中表现出许多优越性。本文将对IDA方法的基本原理和分析过程进行阐述,分析了IDA方法在心理学应用的优势,阐述IDA的分析策略,最后提出IDA方法在心理学研究中应用的局限和应用建议。
Integrative data analysis (IDA)is one of the synthesis analysis methods developed from meta- analysis, in contrast to meta- analysis,it was defined as a set statistical analysis techniques that can simultaneous analysis multiple independent samples which have been pooled into one data set. IDA makes full use of the existing data, and combines information of several independent studies in analy- sis precess, it can address new questions cannot be answered by a single study, achieve better understanding research findings, was char- acterized by a host of advantages in psychological studies. The article drops the focus on a review of IDA using in pooling data. We de- scribed the theoretical foundation of IDA and its procedure in analyzing multiple studies ; discuss the advantages and some key issues of conducting an IDA research, present some analytic strategies for analyzing pooling data. In summary, the authors concluded with a dis- cussion of potential limitations and directions that use of IDA in practice.