A partial posterior p value test for multilevel mediation

Kyle Cox and Benjamin Kelcey

Statistica Neerlandica, 2023, vol. 77, issue 4, 408-428

Abstract: A variety of inferential tests are available for single and multilevel mediation but most come with notable limitations that balance tradeoffs between power and Type I error. We extend the partial posterior p value method (p3 method) to test multilevel mediation. This contemporary resampling‐based composite approach is specifically suited for complex null hypotheses. We develop the p3 method and investigate its performance within the context of two‐level cluster‐randomized multilevel mediation studies. Similar to its performance in single‐level studies, we found that the p3 method performed well relative to other mediation tests suggesting it provides a judicious balance between Type I error rate and power. While bias‐corrected bootstrapping achieved the best overall performance, the p3 method serves as an alternative tool for researchers investigating multilevel mediation that is especially useful when conducting a priori power analyses. To encourage utilization, we provide R code for implementing the p3 method.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/stan.12291

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:stanee:v:77:y:2023:i:4:p:408-428

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0039-0402

Access Statistics for this article

Statistica Neerlandica is currently edited by Miroslav Ristic, Marijtje van Duijn and Nan van Geloven

More articles in Statistica Neerlandica from Netherlands Society for Statistics and Operations Research
Bibliographic data for series maintained by Wiley Content Delivery ().