Psychometric Accuracy and (the Continuing Need for) Quality Thinking in Meta-Analysis
指出元分析技术虽在提高准确性，但学者和实践者还需关注理论、应用和方法论问题，以情境判断测试文献为例，强调在元分析前需深入思考研究目的、原始研究选择、分析方法和编码等。
The four feature-topic articles advance the accuracy of meta-analytic techniques. As might be expected, most articles focus on more precise ways to aggregate all available relationships in a given topic domain. Such aggregation results in overall estimates of relationships and estimates conditional on particular moderators. However, scholars and practitioners can expect more than empirical aggregation from meta-analysis. Careful attention to underlying theory, application, and important methodological issues will result in clearer understanding and explanation. Using the situational judgment testing literature as an example, the current analysis suggests the need for much more upfront, reflective thinking about each meta-analytic study's purpose and how this thinking relates to the inclusion or choice of primary studies, analytic method, coding, and so on. For example, when the focus is on prediction, frequent use of concurrent designs may bias aggregated parameter estimates. Also, it is noted that methods and constructs continue to be confounded in the research literatures.