A meta-analysis on the correlation between the implicit association test and explicit self-report measures
A meta-analysis on the correlation between the implicit association test and explicit self-report measures
复制标题
DOI：
10.1177/0146167205275613
复制
发表时间：
2005-10-01
影响因子：
4
通讯作者：
Schmitt, M
中科院分区：
文献类型：
--
作者：
Hofmann, W;Gawronski, B;Schmitt, M
理论上，内隐和外显测量之间的低相关性可能是由于（a）外显自我报告中的动机偏差，（B）缺乏对内隐评估表征的内省访问，（c）影响从记忆中提取信息的因素，（d）两种测量的方法相关特征，或（e）基本结构的完全独立性。本研究从元分析的角度探讨了内隐联想测验与外显自我报告之间的相关性。基于126项研究的样本，平均效应量为0.24，相关性的变异性约有一半归因于调节变量。相关性系统地增加的功能（a）增加自发性的自我报告和（B）增加概念之间的对应措施。这些结果表明，内隐和外显的措施一般是相关的，但高阶推理和缺乏概念的对应关系，可以减少自动协会的影响，外显自我报告。
Theoretically, low correlations between implicit and explicit measures can be due to (a) 'motivational biases in explicit self-reports, (b) lack of introspective access to implicitly assessed representations, (c) factors influencing the retrieval of information from memory, (d) method-related characteristics of the two measures, or (e) complete independence of the underlying constructs. The present study addressed these questions from a meta-analytic Perspective, investigating the correlation between the Implicit Association Test (IAT) and explicit self-report measures. Based on a sample of 126 studies, the mean effect size was .24, with approximately half of the variability across correlations attributable to moderator variables. Correlations systematically increased as a function of (a) increasing spontaneity of self-reports and (b) increasing conceptual correspondence between measures. These results suggest that implicit and explicit measures are generally related but that higher order inferences and lack of conceptual correspondence can reduce the influence of automatic associations on explicit self-reports.