Investigators need to elicit detailed statements from interviewees to find potential leads, whilst simultaneously judging if a statement is genuine or fabricated. Researchers have proposed that the Model Statement (MS) can both (a) increase information elicitation from interviewees and (b) amplify the verbal differences between liars and truth tellers, thereby enhancing lie‐detection accuracy. Based upon a critical analysis of the MS literature, we argue that this tool is not currently ready for practical usage, as its utility has not been fully established. We highlight a diverse range of existing MS scripts, and a greater diversity in the dependent measures examined in conjunction with this tool. More robust replications of these procedures are needed. We also highlight why some measures of verbal content may not be suitable as outcome measures and suggest that new research could use the well‐established reality monitoring criteria to allow for standardisation across studies.

中文翻译：

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对模型声明文献的批判性分析：是否应在实践中使用此工具？

研究人员需要从受访者那里获得详细的陈述，以找到潜在的线索，同时还要判断陈述是真实的还是捏造的。研究人员提出，模型陈述（MS）既可以（a）增加受访者的信息启发，又可以（b）扩大说谎者和真相讲述者之间的口头差异，从而提高测谎的准确性。基于对MS文献的批判性分析，我们认为该工具当前尚未完全准备就绪，无法实际使用。我们着重介绍了现有MS脚本的各种范围，以及与此工具一起检查的相关度量的较大差异。需要对这些过程进行更强大的复制。