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Analysing infant data at the group- or individual-level: The impact of measurement error on sophisticated analyses
Infant and Child Development ( IF 1.776 ) Pub Date : 2022-05-16 , DOI: 10.1002/icd.2335
Elizabeth V. Edgar 1
Affiliation  

The article ‘Six solutions for more reliable infant research’ by Byers-Heinlein et al. proposes six solutions to improve upon the reliability of infant research. The present commentary supports and expands upon the sixth solution, ‘Conduct more sophisticated analyses’. This commentary first focuses on group-level, traditional analytic techniques that infant research has predominantly relied on over the last several decades. Details are provided to expand upon measurement errors in these types of analyses. The second focus is on individual-level, more sophisticated statistical analyses, such as mixed-effects models and structural equation modelling. Details are provided to expand upon how measurement error can impact these types of analyses. Throughout the commentary and in its conclusion, this commentary provides ways in which the other five solutions proposed can contribute to the sixth solution.

中文翻译:

在群体或个人层面分析婴儿数据:测量误差对复杂分析的影响

Byers-Heinlein 等人的文章“更可靠的婴儿研究的六种解决方案”。提出了六种解决方案来提高婴儿研究的可靠性。本评论支持并扩展了第六个解决方案,“进行更复杂的分析”。这篇评论首先关注婴儿研究在过去几十年中主要依赖的群体层面的传统分析技术。提供详细信息以扩展这些类型分析中的测量误差。第二个重点是个人层面的更复杂的统计分析,例如混合效应模型和结构方程建模。提供详细信息以扩展测量误差如何影响这些类型的分析。在整个评注及其结论中,
更新日期:2022-05-16
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