Mixed-Effects Models for Cognitive Development Researchers

IF 1.6 2区 心理学 Q3 PSYCHOLOGY, DEVELOPMENTAL
Melis Muradoglu, Joseph R. Cimpian, Andrei Cimpian
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引用次数: 4

Abstract

ABSTRACT Mixed-effects models are an analytic technique for modeling repeated measurement or nested data. This paper explains the logic of mixed-effects modeling and describes two examples of mixed-effects analyses using R. The intended audience of the paper is psychologists who specialize in cognitive development research. Therefore, the concepts and examples covered will focus primarily on repeated-measurement data resulting from studies in which participants respond to multiple items or trials. However, many of the concepts and examples we cover will likely be of use to readers outside this area of psychology. Finally, we discuss recommendations for dealing with practical challenges, suggest approaches for troubleshooting, and provide guidance on reporting results from mixed-effects models.
认知发展研究者的混合效应模型
摘要混合效应模型是一种用于建模重复测量或嵌套数据的分析技术。本文解释了混合效应建模的逻辑,并描述了使用R进行混合效应分析的两个例子。本文的目标受众是专门从事认知发展研究的心理学家。因此,所涵盖的概念和示例将主要关注参与者对多个项目或试验做出反应的研究所产生的重复测量数据。然而,我们所涵盖的许多概念和例子可能对心理学领域之外的读者有用。最后,我们讨论了应对实际挑战的建议,提出了故障排除方法,并为报告混合效应模型的结果提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
29
期刊介绍: The Journal of Cognition and Development is the official journal of the Cognitive Development Society (CDS). Some CDS members are concerned with basic research or theory; others focus on policy issues and practical applications. The range of interests includes cognitive development during all stages of life, and we seek to understand ontogenetic processes in both humans and nonhumans. Finally, their interests encompass typical as well as atypical development, and we attempt to characterize both biological and cultural influences on cognitive change and continuity.
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