Selection Effects in Meta-Analysis and Benefit Transfer: Avoiding Unintended Consequences
讨论了在效益转移中，选择效应（如研究优先选择、方法选择、发表选择和元分析样本选择）的影响、检测和改善方法，并指出元回归分析可能是检测和纠正选择偏差的最佳工具。
Selection effects include seemingly independent influences on, and choices in, conducting and reporting primary research that may bias a stock of knowledge. Such effects may arise from sociopolitical influences (research priority selection), researcher choices (methodology selection), peer review influences (publication selection), and metaanalyst choices (metadata sample selection). This paper discusses the impact, detection, and amelioration of selection effects within benefit transfer. Also discussed is evidence of selection effects in the literature and their implications for primary research. Evidence suggests that metaregression analysis may be the best tool for detecting and generating corrective measures for selection biases within benefit transfers.