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Probing Two-way Moderation Effects: A Review of Software to Easily Plot Johnson-Neyman Figures
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2020-05-03 , DOI: 10.1080/10705511.2020.1732826
Hua Lin 1
Affiliation  

ABSTRACT This review explores the possibility of generating Johnson-Neyman’s interaction plot merely using the functions from software or packages without involving complex calculations. Three different programs were compared: Mplus version 8.3, the Johnson-Neyman() function in the interaction package for R version 3.6.2, and PROCESS Macro version 3.4 for IBM SPSS Statistics version 25. These three functions/software are capable of probing or providing sufficient information to probe the J-N interaction figure simply. Mplus and the Johnson-Neyman() are straightforward, including the graphing function, although the figure created in Mplus does not show the region(s) of significance. Johnson-Neyman() and PROCESS Macro provide more information in the output related to the J-N technique, reporting the region(s) of significance and the observed range of the moderator for identifying the actual region of significance. Johnson-Neyman() is superior for using the J-N technique to probe two-way moderation effects compared tootheravailable functions/software.

中文翻译:

探索双向调节效应:轻松绘制 Johnson-Neyman 数字的软件回顾

摘要 本综述探讨了仅使用软件或软件包中的函数而不涉及复杂计算来生成 Johnson-Neyman 相互作用图的可能性。比较了三个不同的程序:Mplus 8.3 版、R 版 3.6.2 的交互包中的 Johnson-Neyman() 函数和 IBM SPSS Statistics 25 版的 PROCESS Macro 3.4 版。这三个函数/软件能够探测或提供足够的信息来简单地探测 JN 交互图。Mplus 和 Johnson-Neyman() 很简单,包括绘图函数,尽管在 Mplus 中创建的图形没有显示重要的区域。Johnson-Neyman() 和 PROCESS Macro 在与 JN 技术相关的输出中提供了更多信息,报告重要的区域和调节器的观察范围,以识别实际的重要区域。与其他可用函数/软件相比,Johnson-Neyman() 在使用 JN 技术探测双向调节效应方面更胜一筹。
更新日期:2020-05-03
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