Contrasting conventional with multi-level modeling approaches to meta-analysis: Expectation consistency in UK woodland recreation values
Contrasting conventional with multi-level modeling approaches to meta-analysis: Expectation consistency in UK woodland recreation values
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DOI：
10.2307/3146869
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发表时间：
2003-05-01
期刊：
影响因子：
1.4
通讯作者：
Jones, AP
中科院分区：
文献类型：
--
作者：
Bateman, IJ;Jones, AP
本文提出了各种各样的林地游憩效益估计的Meta分析模型，对比传统的估计模型与新的，多层次建模（MLM）技术（Goldstein 1995）。我们的传统模型表明，在我们的荟萃分析中，某些作者进行的研究与异常大的残差相关。然而，MLM方法明确纳入了荟萃分析数据的分层性质，估计值嵌套在研究中心和作者中。这些残差不是数值的重要决定因素，这表明，至少在这方面，估计数可能比不太复杂的模型所显示的更可靠。
The paper presents a variety of meta analysis models of woodland recreation benefit estimates, contrasting conventionally estimated models with those provided by novel, multi-level modeling (MLM) techniques (Goldstein 1995). Our conventional models suggest that studies carried out by certain authors are associated with unusually large residuals within our meta-analysis. However, the MLM approach explicitly incorporates the hierarchical nature of meta-analysis data, with estimates nested within study sites and authors. These residuals are not a significant determinant upon values, suggesting that, at least in this aspect, estimates may be more robust than indicated by less sophisticated models.